Analytics Engineer Remote Jobs

22 Results

4d

Analytics Engineer

NielsenIQLisbon, Portugal, Remote
mobile

NielsenIQ is hiring a Remote Analytics Engineer

Job Description

The Analytics Engineer will play a crucial role in building and maintaining our "Panel" data platform. Their primary responsibility will be to manage and enhance our analytical infrastructure, which is key to monitoring and optimizing the performance of our acquisition strategy. This role will help ensure that we leverage data to drive strategic decisions and improve our marketing effectiveness.

Responsibilities:

  • Data Ingestion and Modeling: Integrate data from internal and external sources (e.g., Ads managers, Adjust) while ensuring its consistency and relevance for our business objectives.
  • KPI Modeling: Assist the team in refining and developing KPI models to accurately assess the effectiveness of our new shopper acquisition campaigns.
  • Panel Data Management: Monitor the size and growth of the panel, applying specific rules based on countries and industries, and create tailored views for various data types from multiple mobile applications.
  • Dashboard Creation: Develop customized dashboards on Looker Studio for business teams and support them in interpreting data to make well-informed decisions.

Requirements:

  • Experience: At least 2 years as an Analytics Engineer or a similar role.
  • Technical Skills:
    • Proficiency with an ETL tool (Funnel is a plus).
    • Experience with a cloud data warehouse (BigQuery is a plus).
    • Knowledge of a data transformation tool (ideally Dataform).
    • Strong data visualization skills (Looker Studio is essential).
  • Data Expertise: Solid experience in data ingestion, modeling, and optimization.
  • Analytical Mindset: Ability to model KPIs and understand the challenges of acquiring new users.
  • Communication: Capable of making data accessible and understandable for non-technical teams.

We Offer:

 

  • Work in dynamic environment engaging with local and global companies.  
  • Benefits & flexible working hours, hybrid work options.  
  • Internal trainings will be provided together with detailed onboarding agenda.   
  • Access to learning platforms 
  • Staff and team events  

Qualifications

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6d

Senior Analytics Engineer

HandshakeSan Francisco, CA (hybrid)
airflowsqlDesignc++docker

Handshake is hiring a Remote Senior Analytics Engineer

Everyone is welcome at Handshake. We know diverse teams build better products and we are committed to creating an inclusive culture built on a foundation of respect for all individuals. We strongly encourage candidates from non-traditional backgrounds, historically marginalized or underrepresented groups to apply.

Want to learn more about what it's like to work at Handshake?Check out these interviews from our team members!

Your Impact

At Handshake, data is used in decision making across all areas of our business. As a Senior Analytics Engineer, you will play a pivotal role in shaping our data ecosystem by implementing scalable data models. Your expertise will empower our business stakeholders to make data-driven decisions, enabling the organization to leverage data as a strategic asset. Your contributions will enhance our ability to translate complex data needs into actionable metrics and models, driving innovation and efficiency across the organization. Your technical expertise will be instrumental in helping millions of students discover meaningful careers, irrespective of their educational background, network, or financial resources.

Your Role

In this role, you will be responsible for:

  • Design and implement scalable data models and their corresponding pipelines.

  • Collaborate closely with product and business teams to translate their data requirements into effective data models and metrics.

  • Develop and own the data ecosystem, ensuring robust data governance and high data quality.

  • Act as a leader in the data space, driving best practices and enabling data driven decisions across the product org.

Your Experience

To excel in this role, you should possess:

  • Advanced SQL skills: Strong expertise in SQL and experience with data modeling and database design conventions.

  • Proven leadership in data modeling or data governance, contributing to successful data strategy implementations.

  • Demonstrated expertise in data modeling at scale.

  • History of collaboration with product and business teams to align data initiatives with organizational goals.

  • Experience using data orchestration and data modeling tools (airflow and dbt are the tools we use at Handshake)

  • Cloud platform proficiency: Hands-on experience with cloud-based data technologies, preferably Google Cloud Platform (GCP), including BigQuery, DataFlow, BigTable, and more

Bonus Areas of Expertise

While not required, expertise in any of the following areas would be highly advantageous:

  • Experience with Apache Spark for large-scale data processing and knowledge of when to utilize big data tooling.

  • BI tool knowledge: Specifically Looker and Hex

  • Containerization and orchestration: Familiarity with containerization technologies like Docker and container orchestration platforms like Kubernetes.

Compensation range

$192,222-$213,580

For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

About us

Handshake is the career platform for Gen Z. With a community of over 17 million students, alumni, employers, and career educators, Handshake’s network is where career advice and discovery turn into first, second, and third jobs. Nearly 1 million companies use Handshake to build their future workforce—from Fortune 500 to federal agencies, school districts to startups, healthcare systems to small businesses. Handshake is built for where you’re going, not where you’ve been.

When it comes to our workforce strategy, we’ve thought deeply about how work-life should look at Handshake. With our hybrid-work model, employees benefit from collaboration and shared team experiences three days per week in our vibrant offices, and enjoy the flexibility of remote work two days per week. Handshake is headquartered in San Francisco, with offices in New York, London, and Berlin.

What we offer

At Handshake, we'll give you the tools to feel healthy, happy and secure.

Benefits below apply to employees in full-time positions.

  • ???? Equity and ownership in a fast-growing company.
  • ???? 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.
  • ???? Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.
  • ???? Handshake offers $500/£360 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.
  • ???? Generous learning & development opportunities and an annual $2,000/£1,500/€1,850 stipend for you to grow your skills and career.
  • ???? Financial coaching through Origin to help you through your financial journey.
  • ???? Monthly internet stipend and a brand new MacBook to allow you to do your best work.
  • ???? Monthly commuter stipend for you to expense your travel to the office (for office-based employees).
  • ???? Free lunch provided twice a week across all offices.
  • ???? Referral bonus to reward you when you bring great talent to Handshake.

(US-specific benefits, in addition to the first section)

  • ???? 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.
  • ???? All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 8 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.
  • ???? Family support: We partner with Milk Stork to provide comprehensive 100% employer-sponsored lactation support to traveling parents and guardians. Parental leave coaching and support provided by Parentaly.

(UK-specific benefits, in addition to the first section) 

  • ???? Pension Scheme: Handshake will provide you with a workplace pension, where you will make contributions based on 5% of your salary. Handshake will pay the equivalent of 3% towards your pension plan, subject to qualifying earnings limits.
  • ???? Up to 25 days of vacation to encourage people to reset, recharge, and refresh, in addition to 8 bank holidays throughout the year.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake UK employees.

(Germany-specific benefits, in addition to the first section)

  • ???? 25 days of annual leave + 5 days of a winter #ShakeBreak, a one-week period of Collective Time Off across the company.
  • ???? Regular offsites each year to bring the team together + opportunity to travel to our HQ in San Francisco once a year.
  • ???? Urban sports club membership offering access to a diverse network of fitness and wellness facilities.
  • ????️ Discounts across various high street retailers, cinemas and other social activities exclusively for Handshake Germany employees.

Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.

Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please reach out to us at people-hr@joinhandshake.com.

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11d

Senior Analytics Engineer

Up LearnLondon,England,United Kingdom, Remote
airflowpython

Up Learn is hiring a Remote Senior Analytics Engineer

Are you looking for a way to reinvent the way the world learns? Do you want to establish best practices in analytics on a modern data stack? Are you excited about being a key part of a growing data team? Up Learn may be the right place for you.  You will be helping to lay Up Learn’s foundations for scale and contributing to a data practice that is helping to tackle one of the society’s most meaningful problems: Education.

About us

Up Learn has built the world’s most effective learning experience. We’ve done this by combining cognitive science, instructional theory and artificial intelligence.

Our mission is to create the most effective learning experiences in the world, and distribute access to as many students as possible ????

Up Learn started with A Levels and developed courses that are:

  1. Effective: 97% of students that complete Up Learn courses achieve an A*/A, starting from grades as low as Ds and Es
  2. Engaging: 23.5 million hours of learning thanks to Up Learn, and rising
  3. Scaling: tens of thousands of students use Up Learn today, either independently, or through one of our 400 schools, university or charity partners

Up Learn has been growing fast, and is backed by investors that share their vision, including leading venture capital firm Forward Partners and the Branson family (Virgin). Social impact is critical to Up Learn’s mission - for every student that pays, Up Learn gives a full scholarship to a student who can’t. We are growing our incredible, 40+ strong team.

Our data stack

Our data stack is built on the following tools, with a particular emphasis on leveraging open-source technologies:

  • Google Cloud Platform for all of our analytics infrastructure
  • dbt and BigQuery for our data modelling and warehousing
  • Python and Streamlit for data science and analysis
  • gitlab for version control and CI/CD
  • Lightdash for BI/dashboards
  • Airflow for orchestration

You should have:

  • Excellent SQL knowledge with strong hands-on data modelling and data warehousing skills
  • Strong attention to detail in order to highlight and address data quality issues
  • Experience in designing and managing data tools and infrastructure
  • Great time management and proactive problem-solving abilities in order to meet deadlines
  • Strong communication and data presentation skills through the use of effective data visualisation and BI tools, e.g. Looker, Tableau, Power BI, etc

You should be:

  • Self-motivated, responsible and technology-driven individual who performs well both independently and as a team member
  • Excited about learning - enthusiastic to try learn something new, and then apply it
  • Effective at building strong, influential relationships with colleagues and partners, with demonstrated success in delivering impactful analytics to stakeholders

Bonus points for:

  • Having used dbt in a business environment
  • Demonstrable track record in mentorship and educating non-technical stakeholders
  • Exposure to Python for data manipulation and analysis

What we offer

Up Learn offers generous remuneration, equity share options, and a fun, friendly, high-calibre team that trusts you and gives you the freedom to be brilliant.

You will have the chance to define the future of education and make a meaningful contribution to the lives of thousands of students, and:

Remuneration

  • ???? A competitive salary
  • ???? Employer-matched pension
  • ???? Perks scheme offering discounts & rewards at 30,000+ brands including up to 55% off cinema tickets

Health & Wellbeing

  • ???? Level 6 (highest level) dental insurance
  • ???? Significantly enhanced maternity and paternity leave
  • ???? Cycle-to-Work: we are registered so you can buy a bike and accessories tax-free
  • ???? Eye test & glasses reimbursement
  • ???? Company library: we have hundreds of books in our company library, topped up monthly with the most highly requested books. You can borrow a book whenever you like
  • ???? Unlimited budget for any work-related books you need
  • ???? Emergency support salary advance
  • ???? Mental health first aiders
  • ????‍????‍???? Family access to Up Learn: your family and close relatives get unlimited access to any Up Learn course for free!

Time

  • ????️ Minimum 35 days of paid holiday per year made up of: 26 days of bookable holiday, plus UK bank holidays, plus unlimited ‘extra days’ (i.e. if you need a few more days, no problem)
  • ???? Ability to work remotely for longer periods
  • ????️ Flexible working hours
  • ⭐ 1 fully paid day for volunteering at a charity or not-for-profit of your choice each year

Social

  • ???? Annual company off-site where we get out of the city and take a break together
  • ???? Free sporting activities like 5-a-side football games, lunch-time jogs, badminton games, paid-for monthly CrossFit sessions
  • ☕ Unlimited delicious coffee (high-end coffee beans) at the office, tea selection and other soft drinks, plus unlimited snacks and fresh fruit
  • ???? Weekly ‘Friday celebrations’ with a huge range of drinks, from craft beer to frozen margaritas, alongside soft drinks, smoothies, and fruit juice
  • ☕ Paid for coffee breaks (a great chance to get to know the team)
  • ???? Regular team outings like go-karting and skiing

All in addition to

  • Influence, trust and impact inside a well-funded VC-backed startup that's scaling
  • A spacious and bright private office in Old Street, with delicious coffee, a selection of teas and unlimited snacks and drinks

Our Core Values

  • Live for Learning - We are open-minded and have a never-quenched thirst for learning, expanding our experiences, getting feedback, iterating and improving
  • Strive for Consistent Excellence - We hold an extremely high standard, pay attention to the details and take pride in consistency
  • Objective and Rational - We think from first principles, avoid biases, use believability, regulate our emotions and are obligated to dissent when we disagree
  • Relentlessly Resourceful - We are honey badgers, we don’t compromise, we work smart and get the job done
  • Caring and Compassionate - We demonstrate care and compassion for ourselves, each other and for students

How to apply

If this sounds like it’s for you, we can’t wait to hear from you!

Use the Apply button below to send us your CV and tell us in 150 words or less why you’d be great for this role.

Inviting someone to join our team is a big deal for us and we put a lot of care and effort into the process, whilst making it take as little of your time as possible. If we figure out we’re not perfect for each other at any stage we’ll let you know quickly and make sure we provide you with feedback (if you want it!).

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12d

Principal Analytics Engineer

AmericorRemote
Full TimeMaster’s DegreetableausqlDesign

Americor is hiring a Remote Principal Analytics Engineer

Principal Analytics Engineer - Americor - Career PageAmericor is a leading provider of debt relief solutions for people of all backgrounds. We offer a variety of services to help our clients achieve financial freedom, including debt consolidation loans, debt settlement, and credit repair. Our dedication to others sets us apart – not only as a company b

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22d

Analytics Engineer

Statistics & Current OpeningsHyderabad,Telangana,India, Remote Hybrid

Statistics & Current Openings is hiring a Remote Analytics Engineer

Analytics Engineer

Statistics & Data Corporation (SDC), a specialized contract research organization (CRO) headquartered in Arizona, delivering top-tier clinical trial services to pharmaceutical, biologic, and medical device/diagnostic companies since 2005. SDC providing a technology enabled service offering to provide clients with both clinical services expertise, as well as the technology they need to be successful in their clinical trials.

Job Summary

The Analytics engineer is a modern data team member that is responsible for modeling data to provide clean, accurate datasets. These datasets will feed data visualizations and reports for different users within the company. The role entails transforming, testing, and documenting data. The role contributes to the organization’s strong drive to be at the forefront of using Artificial Intelligence (AI) in clinical trials to simplify data processing and discover imperceptible correlations.

Primary Responsibilities

·        Models raw data into clean, tested, and reusable datasets to make it easier for business analysts and other stakeholders to view and understand data in a data warehouse or database.

·        Maintains data documentation to ensure that everyone on the team uses the same definitions and language.

·        This involves providing identifiable and understandable descriptions of data as well as exposing them in a way for all consumers to easily find answers to their queries.

·        Defines certain metrics to be used and measures to be taken to guarantee data is accurate enough to fit operational and analytics needs.

·        Works closely with Data Analysts and Business Intelligence Analysts to create tables and views that improve the dashboard performance and simplify build process.

·        Builds dashboards, graphs, charts, and reports using BI tools.

·        Follows Data Quality, Data Governance and Master Data Management Best Practices to enable the business to maintain clean and accurate data.

·        Engages with various internal cross-functional departments to develop and implement data tables, views, and metrics.

·        Delivers high quality software tests and code documentation.

·        Contributes to the development of standard operating procedures for the use of artificial intelligence and data engineering within clinical trials.

·        Prototypes new ideas/technologies to create proof of concept and demos.

·        Adheres to all essential systems and processes that are required at SDC to maintain compliance to business and regulatory requirements.

·        Acts as a resource for other team members for debugging, code reviews and other software development lifecycle activities.

The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This document is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.

Required Skills

• Fluency in SQL and parsing, manipulating, and converting data into tables and views.

• Familiarity with python data libraries (e.g., pandas, dbt).

• Ability to work with database management tools (e.g., dbeaver, datagrip).

• Ability to do use git to handle version control.

• An understanding of modern RDBMS concepts (joins, indexes, views) and SQL syntax (group by, having), including experience with at least one modern RDBMS.

• Experience in the software development lifecycle.

• Ability to work with stakeholders to translate business requirements into clear technical specifications.

• Ability to communicate effectively in writing and verbally.

• Ability to identify issues, present problems, and implement solutions.

• Capability of communicating technical concepts clearly, concisely, and understandably to non-technical colleagues.

• Good organizational and time management skills, with the ability to push forward multiple projects simultaneously.

• Strong interpersonal communication and presentation skills.

Education or Equivalent Experience

• Bachelor’s degree in a technical field with 2 years of technical experience with the last 2 years of SQL related experience being a Data Engineering centric role OR 3+ years in a technical role with the last 2 years being an Analytics centric role.

Why SDC

SDC is a team of diversified professionals who deliver exceptional Biometric Services, Consulting, and Technology Solutions to pharmaceutical, biologic, and medical device/diagnostic companies. Since 2005 our purpose has been to partner with sponsors to provide high quality and experienced team members to develop great medicines that save lives and cure diseases in the most efficient manner possible. Our global team operates as a value partner to our clients by fulfilling their needs as our own and delivering exceptional results. We are a specialty CRO in that we provide scalable service offerings, focused services area specialists, efficient project timelines, optimal technology solutions, and proven success and experience. Our commitment to our clients is the same commitment to our employees. By offering strong benefits including competitive pay, generous time off, attainable career advances and positive work/life balance, we are able to attract some of the most talented people in the industry.

• We are committed to developing our employees. We recognize achievements, provide growth opportunities and career advancement, offer a flexible work schedule, engaging work culture and employee benefits.

• We are passionate about our company culture. Our recognition program is directly tied to our core values of Energy, Integrity, Engagement, Innovation, Ownership, and Commitment.

• We strive to provide a place of belonging to our employees with fun and engaging activities from SDC’s culture club.

• We are constantly growing and innovating to support our client and employee needs. Global in nature, we bring diverse perspectives enabling our growth in this ever-evolving industry.

• With a proven track record, SDC has been successfully executing client clinical programs since 2005.

Take a look at how you can join our team!

#LI-Hybrid

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28d

Analytics Engineer

CLEAR - CorporateNew York, New York, United States (Hybrid)
airflowsqlDesignpython

CLEAR - Corporate is hiring a Remote Analytics Engineer

At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. Now, we’re evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As an Analytics Engineer, you will play a pivotal role in designing and enhancing our data platform, ensuring it supports data-driven insights while safeguarding member privacy and security.


A brief highlight of our tech stack:

  • SQL / Python / Looker / Snowflake / Dagster / dbt

What you'll do:

  • Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics.
  • Develop robust processes for data transformation, structuring, metadata management, and workflow optimization.
  • Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality.
  • Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights.
  • Lead the development of data models and analytics workflows that support strategic decision-making and reporting.
  • Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly.
  • Drive architectural improvements in data processes, continuously improving CLEAR’s data infrastructure.

 What you're great at:

  • 6+ years of experience in data engineering, with a focus on data transformation, analytics, and cloud-based solutions.
  • Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks).
  • Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Experience mentoring and collaborating with team members to foster a culture of learning and development.
  • Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $145,000 - $175,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

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28d

Analytics Engineer

EgnyteRemote, Poland
Full Timeagile3 years of experiencetableauterraformsqlDesigngitpython

Egnyte is hiring a Remote Analytics Engineer

Description

Analytics Engineer

Poznań, Poland

 

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and everyEgnytershould be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

IconDescription automatically generatedInvested Relationships

IconDescription automatically generatedFiscal Prudence

IconDescription automatically generatedCandid Conversations

 

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visitwww.egnyte.com.

 

Our Data Analytics team isthe central hub forEgnyte’s data infrastructure andenablesthe businessby providingdata in multiple forms. The Analytics Engineering sub-team keeps its prime focus on the data itselfbut does so while employing software engineering standards (CI/CD, code reviews,version control,etc.) and best practices to maintain a high quality of delivered solutions.

You will help us model Egnyte’s data into our Semantic Layer, redistribute the data via reverse ETL processes, maintain our data at a high quality,and provide technical guidance to analysts and businessusers.As an Analytics Engineer, you will work closely withData Analysts,playing a pivotal role in providing reliable, high-quality, and valuable data resources. You will also ensure these assets are updated and adapted as business requirements evolve. We seek someone passionate about structuring data into reusable, maintainable solutions who can bring enthusiasm to help us expand this function at Egnyte.

 

WHAT YOU’LL DO:

  • Design, build, and validate data transformation pipelines to create data models
  • Develop, maintain, and optimize the semantic layer architecture indbt, ensuring accurate and efficient data modeling that supports business intelligence, insights, and analytical needs
  • Collaborate across departments to apply our data strategy and corporate-wide data definitions that meet the demands of our fast-growing business
  • Take responsibility for delivering new data assets and enhancing the quality and functionality of existing ones
  • Promote the importance of upholding high-quality, easily maintainable data assets by following best practices and standards via internal code & data reviews
  • Oversee and refine our CI/CD process to streamline the automated deployment of high-quality code
  • Develop test cases to guarantee the continuous delivery of accurate and reliable data, safeguarding it from future changes.
  • Document our data models, logic, and the raw data itself
  • Monitor our data and solve data quality issues

 

YOUR QUALIFICATIONS:

  • You have a deep understanding of dbt (cloud or core) andcandevelop data models and create and maintaindbtarchitecture
  • You possess extensive experience in SQL, both datadefinition anddatamanipulation
  • You have experience with data tools and platforms, includingBigQuery
  • You have experience with Python tools used in data engineering
  • You have expertise in understanding business strategy and metrics
  • You havemore than3years of experience in data-related roles such as data engineering or data analytics
  • You have experience with test automation tools that ensure confident, reliable delivery
  • You are proficient with Git
  • You have experience collaborating in an Agile team environment, consistently delivering incremental value each sprint
  • You have strong written and verbal communication skills
  • You are familiar with infrastructure-as-code (IaC) using Terraform to automate cloud resources.
  • You have been exposed to data visualization tools like Tableau or Power BI to transform data into insights

 

BENEFITS:

  • Attractive salary package based on skillset.
  • Company equity depending on role and level.
  • Flexible working hours.
  • Great office space overlooking Lake Malta. We enjoy working there. We know how to effectively work in a hybrid model.
  • Your own Egnyte account with lifetime access to 50 TB of cloud storage.
  • MyBenefit: you can choose a MultiSport card or gift cards every month.
  • Private medical healthcare.
  • In-house English classes.

 

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

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28d

Senior Analytics Engineer

EgnyteRemote, Poland
Full Time5 years of experiencesqlDesignpython

Egnyte is hiring a Remote Senior Analytics Engineer

Description

Senior Analytics Engineer

Poznań, Poland

 

EGNYTE YOUR CAREER. SPARK YOUR PASSION.

Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and every Egnyter should be respected. With 22,000+ customers worldwide and growing, you can make an impact by protecting their valuable data. When joining Egnyte, you’re not just landing a new career, you become part of a team of Egnyters that are doers, thinkers, and collaborators who embrace and live by our values:

IconDescription automatically generatedInvested Relationships

IconDescription automatically generatedFiscal Prudence

IconDescription automatically generatedCandid Conversations

 

ABOUT EGNYTE

Egnyte is the secure multi-cloud platform for content security and governance that enables organizations to better protect and collaborate on their most valuable content. Established in 2008, Egnyte has democratized cloud content security for more than 22,000 organizations, helping customers improve data security, maintain compliance, prevent and detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information, visit www.egnyte.com.

 

Our Data Analytics team is the central hub for Egnyte’s data infrastructure and enables the business by providing data in multiple forms. The Analytics Engineering sub-team keeps its prime focus on the data itself but does so while employing software engineering standards (CI/CD, code reviews, version control, etc.) and best practices to maintain a high quality of delivered solutions.

You will help us model Egnyte’s data into our Semantic Layer, redistribute the data via reverse ETL processes, maintain our data at a high quality, and provide technical guidance to analysts and business users. As a Senior Analytics Engineer, you will work closely with Data Analysts, playing a pivotal role in providing reliable, high-quality, and valuable data resources. You will also ensure these assets are updated and adapted as business requirements evolve. We seek someone passionate about structuring data into reusable, maintainable solutions who can bring enthusiasm to help us expand this function at Egnyte. This role has the potential to evolve into Team leader/Manager position.

 

WHAT YOU’LL DO:

 Develop, maintain, and optimize the semantic layer architecture in dbt, ensuring accurate and efficient data modeling that supports business intelligence, insights, and analytical needs

 Design, build, and validate data transformation pipelines to create data models

 Document our data models, logic, and the raw data itself

 Perform internal code & data reviews

 Monitor our data and solve data quality issues

 Lead initiatives to improve processes, enhance code quality, and increase the efficiency of project delivery across the team

 Collaborate across departments to apply our data strategy and corporate-wide data definitions that meet the demands of our fast-growing business

 

YOUR QUALIFICATIONS:

 You have a deep understanding of dbt (cloud or core) and are able to develop data models and create and maintain dbt architecture and strategy.

 You possess extensive experience in SQL, both data definition and data manipulation

 You are experienced with data tools and platforms, including BigQuery.

 You also have experience with Python tools used in data engineering

 You have expertise in understanding business strategy and metrics

 You have more than 5 years of experience in data-related roles such as data engineering or data analytics

 Your exceptional communication skills, both written and spoken, enable you to interact effectively with senior leaders across the company

 You are a leader who serves others, believing that the team's achievements reflect your own

 Ability to mentor team members

 Your exceptional communication skills, both written and spoken, enable you to interact effectively with senior leaders across the company

 

BENEFITS:

 Attractive salary package based on skillset

 Company equity depending on role and level

 Your own Egnyte account with lifetime access to 50 TB of cloud storage

 Great office space overlooking Lake Malta. We enjoy working there. We know how to effectively work in a hybrid model.

   MyBenefit: you can choose a MultiSport card or gift cards every month

 Private medical healthcare

 In-house English classes

 

COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION:

At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities. Egnyters are encouraged to bring their whole selves to work and to appreciate the many differences that collectively make Egnyte a higher-performing company and a great place to be.

 

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+30d

Senior Analytics Engineer

TruebillSan Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA)
terraformsqlc++AWS

Truebill is hiring a Remote Senior Analytics Engineer

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????

In this role, you will:

  • Own the end-to-end process of designing, building, and maintaining data models that drive business insights and decision-making. You’ll work closely with stakeholders to ensure data is transformed into meaningful and actionable information.
  • Define best practices for and efficiently source new data from a variety of sources, both internal and external.
  • Work within the organization to prioritize automation over manual solutions.
  • Enhance our analytics capabilities by continuously improving data models for maintainability, performance and scalability, while ensuring they remain aligned with business goals.
  • Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.
  • Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.
  • Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.
  • Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.
  • Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

ABOUT YOU ????

  • You have 6+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions. You are very comfortable working in SQL.
  • You have 4+ years of production experience with SQL templating engines, like DBT, (particularly CI/CD) and data warehouses, third party ingestion providers and BI tools.
  • You have 2+ years of experience working in a data engineering or software engineering capacity where you had to create/maintain custom data pipelines.
  • You have a passion for automating things to take people out of the loop, whether that be via prior data engineering or software engineering experience.
  • You are obsessively detail oriented and organized.
  • You have an irresistible urge to understand the complexities of the data you’re working with. You love the puzzle of jumping into a messy data problem and peeling back the layers until you’ve figured out how everything works.
  • It’s second nature for you to break down a complex problem into specific tasks and create a plan for how to tackle those tasks. You feel comfortable taking the initiative to get started on a project and are not afraid of asking for help if you hit a road block.
  • You have extensive experience with automated testing and test driven development. You see automated testing and documentation as one of the keys to scaling.
  • You are a strong written communicator. You are used to working in tickets and sprints.
  • You have experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems. You are confident in your ability to speak with both technical and non-technical teams.
  • You find it enjoyable working with engineers to define data models that enable both efficient operation of applications and capture the data necessary to enable analytics and data science use cases.

Bonus points if:

  • You have strong data engineering or software engineering skills but prefer the challenge of serving analytics users via value add data modeling.
  • You have experience automating all the things with Python.
  • Experience in our specific technology stack:
    • Analytics: BigQuery/GCP, Fivetran, Looker, Mode, DBT
    • Data Engineering: Terraform, AWS

WE OFFER????

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional information: Salary range of $150,000 - $170,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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+30d

Senior Analytics Engineer

Hack TheAthens,Attica,Greece, Remote Hybrid
Salestableaujirasqlsalesforcemobilegitpython

Hack The is hiring a Remote Senior Analytics Engineer

Ready to embark on the quest of joining Hack The Box?

At the end of this thrilling journey, you'll become a proud member of Hack The Box, with the ultimate mission to help redefine cybersecurity expertise. Get ready for an exciting adventure into the world of cybersecurity! ????????????

✨The core mission of the Senior Analytics Engineer:

HTB’s Analytics team is looking for a Senior Analytics Engineer, who will enable data analysts and various stakeholders to make data-driven decisions.

As a Senior Analytics Engineer, you will be able to get creative & build stuff from scratch. You will participate in end-to-end projects, from gathering the business requirements by having deep business conversations, to creating the final solution. Main focus for the Analytics Engineer will be to understanding the business needs and then develop and maintain data pipelines to serve the organization.

???? The fellowship you’ll be joining:

Our analytics team, consisting of 4 people, collaborates with multiple departments within HTB, like Product, Finance, Revenue Operations , Sales & more. Our day-to-day tasks span from product feature analysis to systematic revenue reporting that enables a data driven mindset for all HTBers.

⚔️ Technology tools & weapons you’ll be using:

  • SQL
  • Dbt
  • Snowflake
  • Python
  • (Tableau)

???? The adventures that await you after becoming a Senior Analytics Engineer at Hack The Box:

  • Develop, monitor, maintain, optimise and troubleshoot data pipelines to ensure data is accurate and timely
  • Build and optimise data models (using python, SQL ,dbt or similar tools) to support business reporting and analysis needs.
  • Implement data quality checks and validation routines to maintain high standards of data integrity.
  • Document data models, data transformations, and business logic for transparency and knowledge sharing.
  • Collaborate with data analysts, data scientists, product teams and other business stakeholders to define data requirements, business logic, and reporting needs.
  • Collaborate with other departments to assist in implementing automations for routine tasks and data operations to streamline workflows.
  • Assist in designing and developing new reports, dashboards, and visualisations based on business needs.
  • Evaluate and recommend new tools or process improvements to optimise data workflows and enhance productivity.
  • Provide support and guidance to other team members on data-related matters
  • Help build a data-driven culture across HTB by identifying areas where data could add value.

???? Skills, knowledge, and experience points required to unlock the role of the Senior Analytics Engineer at Hack The Box:

  • Proficiency in SQL for complex querying, data transformation, and performance optimization (5+ years).
  • Strong Experience in data modelling and data pipelines.
  • Strong skills in Python for data manipulation, automation, and building scalable data solutions.
  • Experience with Git for version control and collaborative development.
  • Strong business acumen.

???? Nice to have

  • Experience with tools such as dbt and Prefect for building, scheduling, and managing data pipelines.
  • Familiarity with data quality frameworks and governance practices, including the use of tools like Datahub
  • Familiarity with handling data from commonly used 3rd party CRM, Billing and Finance applications ( like Hubspot, Salesforce, Stripe, Zuora, Recurly, Netsuite)
  • Experience with collaboration platforms like Confluence, JIRA, for project and task management.

????️ What your Hack The Box adventure will have in store:

  • ????You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.
  • ???? You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.
  • ???? You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows.
  • ???? Most importantly, you'll have a blast at HTB ???? because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!

????The gems you’ll be enjoying as a Senior Analytics Engineer :

  • Private health care
  • Paid paternity leave
  • 25 annual leave days
  • Free lunch & snacks at the office
  • Dedicated budget for training and professional development, participation in conferences
  • Full access to the Hack The Box lab offerings; so you can learn how to hack ????
  • State-of-the-art equipment (mac, iPhone, and mobile plan)
  • Flexible WFH (Hybrid Model) - Fully Remote is also an option if you're not an Attica resident

????️ The Quest of Becoming Hack The Box’s Senior Analytics Engineer:

  • Level 1: To complete level one’s objective, submit your application. 
  • Level 2: Meet the Talent Acquisition team. Level’s objective: highlight your past achievements, ambitions, and values.
  • Level 3: Meet the hiring manager. Level’s objective: connect with the hiring manager and share with them your achievements. 
  • Level 4: Complete an assignment that aligns with day-to-day job-related tasks and responsibilities, and have a constructive conversation over the assignment.
  • Level 5: Congratulations! Not many reach this level ????. Level’s objective: have a constructive, final conversation with the PM you're going to be working closely with, explore the role and your future at HTB. 
  • Level 6: You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer. 
  • Quest complete. Congratulations, you’re officially one of us ????????????Your next quest: complete the onboarding.

Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box! ????????????

At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of disruption, growth, and adventure, we can't wait to meet you!

ABOUT HACK THE BOX

Hack The Box is the Cyber Performance Center with the mission to provide a human-first platform to create and maintain high-performing cybersecurity individuals and organizations. 

Hack The Box is the only platform that unites upskilling, workforce development, and the human focus in the cybersecurity industry, and it’s trusted by organizations worldwide for driving their teams to peak performance. Offering an all-in-one environment for continuous growth, assessment, and recruitment, Hack The Box provides solutions for all cybersecurity domains. 

Launched in 2017, Hack The Box brings together the largest global cybersecurity community of more than 3 million platform members. Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.

???? Exciting News:


At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.

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+30d

Analytics Engineer

AcquiaRemote - India
S39 years of experience6 years of experience3 years of experiencejirasqlsalesforcedrupalDesignazurepythonAWS

Acquia is hiring a Remote Analytics Engineer

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in the U.S., Acquia is a Great Place to Work-CertifiedTM company in India, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it!

About the role…
As a Senior Data Engineer with expertise in building Enterprise Data Platforms (EDP), you will play a pivotal role in creating a robust and scalable data infrastructure. You will be responsible for designing, building, and maintaining data pipelines that will power various analytics and AI-driven products across the company.

Job Responsibilities:

  • Data Pipeline Design & Development: Lead the design, development, and optimization of data pipelines that enable the collection, transformation, and storage of data from multiple sources like OLTP databases, operational applications (Salesforce, Jira), event collectors, logs, 3rd-party APIs, and file storage (e.g., S3).
  • Ingestion & Integration: Build and manage data ingestion processes using tools like Meltano and orchestrate workflows with Dagster, ensuring scalability and real-time data processing.
  • Data Storage & Management: Implement data storage solutions leveraging Snowflake for data warehousing and S3 for data lakes, optimizing for cost, performance, and security.
  • Data Transformation: Work with the data transformation layer using dbt and ensure seamless integration with orchestration layers to maintain real-time and batch processing efficiency.
  • Data Governance: Establish data governance frameworks and data catalogs (e.g., DataHub) to ensure data quality, discoverability, and security across the platform.
    Collaboration: Collaborate with stakeholders across the organization, including data scientists, product managers, and business analysts, to translate business needs into technical solutions.
  • Real-Time Analytics: Implement real-time analytics solutions by building and maintaining a vector database and real-time analytics database to support machine learning models and predictive analytics.
  • Semantic Layer & AI Integration: Design and implement a semantic layer (e.g., cube.js) to facilitate user-facing analytics while integrating AI services and vector databases for advanced analytics.

Skills:

  • 5+ years of experience in data engineering or data platform development.
  • Experience with data engineering tools and frameworks (e.g., Meltano, dbt, Dagster).
  • Strong hands-on experience with data lakes (e.g., S3), and data warehouse tool - Snowflake
  • Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency in SQL,Python, and ETL/ELT design patterns.
  • Understanding of real-time analytics and vector databases.
  • Strong knowledge of data governance practices and cataloging tools like DataHub.
  • Experience working with cross-functional teams and translating business needs into technical requirements.
  • Proven expertise in building enterprise-level data platforms.
  • Experience with real-time data processing and analytics tools.

Preferred Qualifications: 

  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Familiarity with dashboarding and reporting tools like Domo.
  • Experience with AI/ML-driven platforms and integrating AI services for advanced analytics.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more!

Individuals seeking employment at Acquia are considered without regard to race, color, religion, caste, creed, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Whatever you answer will not be considered in the hiring process or thereafter.

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+30d

Analytics Engineer

TruebillSan Francisco, CA, Washington, D.C., New York City, N.Y., Remote (USA)
sqlc++

Truebill is hiring a Remote Analytics Engineer

ABOUT ROCKET MONEY ????

Rocket Money’s mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM ????

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation. We have a strong preference for team players that are comfortable collaborating across teams, know how to generate understanding from data, and can deliver solutions in conjunction with product and engineering teams.

ABOUT THE ROLE ????

In this role, you will:

  • Work within interdisciplinary teams to help deliver product features, enable product analytics and experimentation through accurate and timely data modeling of customer data, and enable efficient product operations.
  • Deeply understand how data is generated through effective work with engineering teams. Make sure that the changes we make in our product are properly reflected in data models.
  • Confidently juggle multiple projects and priorities in our fast paced environment and work with stakeholders and analytics engineering teammates to ensure deadlines and commitments are met.
  • Work with your analytics engineering teammates to continuously iterate and improve upon our processes, best practices and technical implementation of models.
  • Build data models with the end consumer in mind, whether it be an analyst or an accountant. Own the creation of data models from source data to working with Data Analysts to properly expose the finished data models in our semantic layer (Looker).
  • Work with our data engineering and infrastructure team to define good practices for and efficiently source new data from a variety of sources, both internal and external.
  • Expertly communicate with multiple stakeholders on updates to requirements, deadlines and status of work.
  • Become an expert in multiple areas of our business and understand the logic well enough to maintain and enhance our current testing suite.

ABOUT YOU ????

  • You have 4+ years of working in the analytics stack within a fast paced environment and are familiar with the growing set of analytics tooling solutions. You are very comfortable working in SQL.
  • You have 3+ years of production experience with SQL templating engines, like DBT, (particularly CI/CD) and data warehouses, third party ingestion providers and BI tools.
  • You have experience exposing data models to end consumers in BI Tools.
  • You are obsessively detail oriented and organized.
  • You have an irresistible urge to understand the complexities of the data you’re working with. You love the puzzle of jumping into a messy data problem and peeling back the layers until you’ve figured out how everything works.
  • It’s second nature for you to break down a complex problem into specific tasks and create a plan for how to tackle those tasks. You feel comfortable taking the initiative to get started on a project and are not afraid of asking for help if you hit a road block.
  • You have extensive experience with automated testing and test driven development. You see automated testing and documentation as one of the keys to scaling.
  • You are a strong written communicator. You are used to working in tickets and sprints.
  • You have experience partnering with analytics teams, business stakeholders, and engineers to deliver analytics solutions to business problems. You are confident in your ability to speak with both technical and non-technical teams.
  • You find it enjoyable working with engineers to define data models that enable both efficient operation of applications and capture the data necessary to enable analytics and data science use cases.
  • You have a passion for automating things to take people out of the loop, whether that be via prior data engineering or software engineering experience.

Bonus points if:

  • You have strong data engineering or software engineering skills but prefer the challenge of serving analytics users via value add data modeling.
  • Experience in our specific technology stack: BigQuery/GCP, Fivetran, Looker, Mode, DBT

WE OFFER????

  • Health, Dental & Vision Plans
  • Competitive Pay
  • 401k Matching
  • Unlimited PTO
  • Lunch daily (in-office only)
  • Snacks & Coffee (in-office only)
  • Commuter benefits (in-office only)

Additional information: Salary range of $130,000 - $150,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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+30d

Analytics Engineer I

azurec++AWS

Oscar Health is hiring a Remote Analytics Engineer I

Hi, we're Oscar. We're hiring an Analytics Engineer I to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

 

About the Role

As an Analytics Engineer I, you will occupy a vital position in Oscar’s data pipeline between raw data producing systems and end users of financial data.  You will maintain a crucial partnership with Oscar’s Finance team, a critical data user, servicing it with comprehensive and reliable Certified Datasets (CDS) curated to enable accounting and actuarial processes and facilitate efficient answering of business questions.  You will guide Engineering to help ensure that the financial data model is correctly implemented in production systems.  You will problem solve and collaborate with multiple stakeholders, executing on tasks that range from requirements gathering to detailed optimization of code to brainstorming and implementing quality assurance checks on financial data.  

You will report to an Associate Director, Data Science. 

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.  

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $103,200 - $135,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants and annual performance bonuses.

 

Responsibilities

  • Become a financial data subject matter expert and use that knowledge to understand and organize raw data sources and structure them into CDS (certified data sets) which stakeholders can readily rely on and self service with.
  • Partner with the Finance team to expand the breadth and depth of finance CDS to support its processes and to more seamlessly integrate CDS into Finance’s systems.
  • Facilitate automation of key Finance team process by programming reports based on complex queries.
  • Partner with Engineering to validate updates to raw financial data structure within an evolving production system and update CDS code accordingly while preventing service interruption for stakeholders.
  • Promote data fidelity in upstream data producing systems and expand quality checks within finance CDS.
  • Conduct root cause analyses of financial data defects and escalate to upstream data owners or  cure in finance CDS.
  • Compliance with all applicable laws and regulations. 
  • Other duties as assigned. 

Qualifications

  • 1+ years of experience in Analytics Engineering, Data Science, or a related field.
  • 1+ years of experience working with SQL.
  • 1+ years of experience developing in a semantic modeling language (e.g. LookML).
  • 1+ years of experience developing within a modern data transformation tool like DBT.
  • 1+ years of experience with cloud database tools (GCP, AWS, Azure).

Bonus Points

  • Experience working with healthcare data, analytics and reporting, particularly with claims payments data.
  • Experience with GCP and/or DBT.
  • A background in healthcare and/or insurance.
  • Strong communication skills, verbal and written, as demonstrated by experience on at least 1 project or initiative requiring communication between technical and non-technical users.

 

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraudhere

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Reasonable Accommodation:Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Notice to Job Applicants.

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+30d

Senior Analytics Engineer

MonzoCardiff, London or Remote (UK)
agilesqlDesignscrumpythonbackend

Monzo is hiring a Remote Senior Analytics Engineer

???? We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

Hear from our team about what it's like working at Monzo


 

????London/Cardiff/UK Remote | ???? £70,000-85,000 + Benefits | Hear from the team ✨

 

⭐Our Business Banking team

Our Mission in Business Banking is to simplify banking for small businesses - this means making business banking fairer, simpler, and more transparent for small businesses. Monzo Business Banking is fast growing and was recently named as the Standout Business Bank by 11:FS. Data is crucial to the success of this mission and Analytics Engineers are the core of how we build and scale our data to Enable Monzo to Make Better Decisions, Faster, and help serve Monzo’s businesses. 

What you’ll be working on: 

The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. 

You’ll enable our data driven approach, and:

  • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases.
  • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost.
  • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards.
  • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen.
  • Take established best practices and standards defined by the team, applying them within other areas of the business.
  • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse.
  • Contribute to prioritisation of data governance issues
  • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role
:star-struck:We’d love to hear from you if…
  • You enjoy working with cross functional fast moving teams and are passionate about serving small businesses.
  • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers.
  • You have a strong passion for data modelling, ETL projects, and Big Data.
  • You enjoy working with data streams from various services, such as financial, transactional, and operational systems.
  • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts.
  • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others.

Nice to haves

  • Any experience working within a finance function or knowledge of accounting.
  • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care). 
  • Knowledge of regulatory reporting and treasury operations in retail banking
  • Exposure to Python, Go or similar languages.
  • Experience working with orchestration frameworks such as Airflow/Luigi
  • Have previously used dbt, dataform or similar tooling.
  • Used to AGILE ways of working (Kanban, Scrum)

The Interview Process:

Our interview process involves 3 main stages: 

  • 30 minute recruiter call
  • 45 minute call with the hiring manager
  • Take home task
  • 2-part final stage

Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason.

What’s in it for you:

 

✈️ We can help you relocate to the UK

✅ We can sponsor visas

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

#LI-NJ1 #LI-REMOTE


Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ????

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+30d

Senior Analytics Engineer

CLEAR - CorporateNew York, New York, United States (Hybrid)
tableauairflowsqlDesignjenkinspythonAWS

CLEAR - Corporate is hiring a Remote Senior Analytics Engineer

At CLEAR, we are pioneers in digital and biometric identification, known for reducing friction wherever identity verification is needed. Now, we’re evolving further, building the next generation of products to go beyond ID, empowering our members to harness the power of a networked digital identity. As a Senior Analytics Engineer, you will play a pivotal role in designing and enhancing our data platform, ensuring it supports data-driven insights while safeguarding member privacy and security.


A brief highlight of our tech stack:

  • SQL / Python / Looker / Snowflake / Airflow / Databricks / Spark / dbt

What you’ll do:

  • Design and maintain scalable, self-service data platforms enabling Analysts and Engineers to drive automation, testing, security, and high-quality analytics.
  • Develop robust processes for data transformation, structuring, metadata management, and workflow optimization.
  • Own and manage end-to-end data pipelines—from ingestion to transformation, modeling, and visualization—ensuring high data quality.
  • Collaborate with stakeholders across product and business teams to understand requirements and deliver actionable insights.
  • Lead the development of data models and analytics workflows that support strategic decision-making and reporting.
  • Maintain a strong focus on privacy, ensuring that member data is used securely and responsibly.
  • Drive architectural improvements in data processes, continuously improving CLEAR’s data infrastructure.

What makes you a great fit:

  • 6+ years of experience in data or analytics engineering, with a focus on data transformation, analytics, and cloud-based solutions.
  • Proficient in building and managing data pipelines using orchestration tools (Airflow, Dagster,) and big data tools (Spark, Kafka, Snowflake, Databricks).
  • Expertise in modern data tools like dbt and data visualization platforms like Looker, Tableau.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Experience mentoring and collaborating with team members to foster a culture of learning and development.
  • Comfortable working in a dynamic, fast-paced environment with a passion for leveraging data to solve complex business challenges.

How You'll be Rewarded:

At CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. Our hybrid work environment provides flexibility. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. The base salary range for this role is $175,000 - $215,000, depending on levels of skills and experience.

The base salary range represents the low and high end of CLEAR’s salary range for this position. Salaries will vary depending on various factors which include, but are not limited to location, education, skills, experience and performance. The range listed is just one component of CLEAR’s total compensation package for employees and other rewards may include annual bonuses, commission, Restricted Stock Units.

About CLEAR

Have you ever had that green-light feeling? When you hit every green light and the day just feels like magic. CLEAR's mission is to create frictionless experiences where every day has that feeling. With more than 25+ million passionate members and hundreds of partners around the world, CLEAR’s identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or right on your phone, CLEAR connects you to the things that make you, you - unlocking easier, more secure, and more seamless experiences - making them all feel like magic.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

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+30d

Senior Analytics Engineer

FlywireSpain Remote, Spain, Remote
Bachelor degreeairflowsqlgitdockerpython

Flywire is hiring a Remote Senior Analytics Engineer

Job Description

The Opportunity:

We, at Flywire, are seeking a Senior Analytics Engineer to join our Analytics team and further scale our data driven company.

As a Senior Analytics Engineer, you will bridge the gap between Data Engineering and Reporting to enable our end users to make the most of our data. You will handle data from all areas of the company and succeed through the following responsibilities:

  • Own, manage, and further our full dbt environment and related tooling
  • Manage efficient materializations of streaming data to balance efficiency and latency
  • Explore and implement additional tools to support the wider Analytics team
  • Productionalize complex logic and queries into “gold standard” datasets
  • Provide dbt support throughout the company
  • Optimize dbt models for efficiency, clarity, and scalability
  • Remove and reduce technical debt and automate manual operations
  • Treat data as a product and enforce testing and CI to catch errors early
  • Work with and support company-wide data science/AI initiatives
  • Become a subject matter expert to support all business segments
  • Work with engineering and product teams to understand and model our event data
  • Drive change by identifying areas for improvement while analyzing data

Qualifications

Here’s What We’re Looking For:

  • Bachelor Degree in Economics, Mathematics, or Computer Science
  • 5+ years of experience in an Analytics role
  • Strong proficiency in SQL
  • Strong proficiency with dbt
  • Experience with a cloud data warehouse (BigQuery, Snowflake, Redshift)
  • Experience with git and CI/CD deployments
  • Experience with Python and Docker
  • Experience with Elementary or Great Expectations is preferred
  • Ability to communicate and follow up with internal stakeholders in a timely manner and excellent attention to detail.
  • Experience with BI Tools (Looker or Preset) is a plus

Technologies We Use :

  • GCP/AWS
  • Fivetran/Apache Beam -> BigQuery -> dbt -> Looker/Preset
  • Airflow (GCP Composer)
  • Flink and Apache Beam

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TripActions is hiring a Remote Sr. Analytics Engineer

Job Application for Sr. Analytics Engineer at Navan

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+30d

Senior Analytics Engineer

agileBachelor's degreeremote-firsttableauairflowsqlDesignpython

Parsley Health is hiring a Remote Senior Analytics Engineer

About us:

Parsley Health is a digital health company with a mission to transform the health of everyone, everywhere with the world's best possible medicine. Today, Parsley Health is the nation's largest health care company helping people suffering from chronic conditions find relief with root cause resolution medicine. Our work is inspired by our members’ journeys and our actions are focused on impact and results.

The opportunity:

You will be joining a remote team of passionate engineers reporting into our Data Manager. In this role, you will work closely with Engineering, Product, Design and Customer Reliability teams. Parsley Health is an outcomes-driven organization and your work will directly contribute to the company objectives, including expanding the business nationally; improving activation, conversion and retention; and expansion of our healthcare products.

We work in a blameless environment and we take ownership and pride in our efforts. We like to work in small cross functional product pods where each pod owns the development lifecycle of their products. We follow agile development practices and encourage each pod to tailor the processes to their needs. Our teams are built on pillars of trust, humility and continuous improvement.

About you:

You appreciate the challenge of building reliable and timely business intelligence systems to promote actionable insights. You know that good ETL, preparation, and visualization are key to getting the right answer - and you also know that understanding your stakeholder’s problems is the key to getting the right question. 

You know when to develop an MVP based on a few requirements gathered in a conversation, and when to suggest a dedicated meeting to sort out the 'what-why-how.'

You have a healthy appreciation for the many ways in which distributed systems may fail. You're always thinking beyond the scope of the current project, and about the larger product vision. You are thrilled to deliver the right information, at the right time, in support of our member’s health and clinician’s decision process.

What you’ll do:

  • Manage and architect our ETL, warehouse, and data delivery/visibility.
  • Craft critical retrospective reports for use by our Ops, Clinical, Product, Finance, and MX teams.
  • Provide actionable, prospective insights to support business and clinical decisions.
  • Engage functional peers on core business strategies and how data products support those efforts.
  • Work closely with stakeholder groups to define requirements, design appropriate BI solutions, and implement applications against development standards and best practices.
  • Design, develop, and maintain scalable data pipelines that extract, transform, and load data from various sources into our data warehouse (BigQuery).
  • Ensure data accuracy, consistency, and availability for business intelligence and analytics purposes.
  • Optimize and enhance data processing workflows for performance and efficiency.
  • Implement and maintain data quality monitoring and alerting systems.
  • Work closely with cross-functional teams - including Product and Clinical Operations - to understand data needs and provide actionable insights.
  • Stay up-to-date with emerging trends and technologies in data engineering and analytics.

What you’ll need:

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field (Master's degree preferred).
  • 3+ years of experience in data and analytics.
  • Strong proficiency in SQL and Python
  • Experience with data modeling techniques.
  • Hands-on experience with data warehousing technologies (e.g., Redshift, Snowflake, BigQuery) and ETL tools (e.g., Airflow, DBT).
  • Experience with data visualization tools (e.g., Tableau, Looker) is a plus.
  • Experience with Google Cloud Platform
  • Containerization experience, knowledge of CI tooling, testing frameworks and other code quality tools
  • Familiarity with healthcare data standards and regulations (e.g., HIPAA) is desirable.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
  • A lean towards self-directed learning in data tooling and solutions.

Benefits and Compensation:

  • Equity Stake
  • 401(k) + Employer Matching program
  • Remote-first with the option to work from one of our centers in NYC or LA
  • Complimentary Parsley Health Complete Care membership
  • Subsidized Medical, Dental, and Vision insurance plan options
  • Generous 4+ weeks of paid time off
  • Annual professional development stipend
  • Annual wellness stipend

Parsley Health is committed to providing an equitable, fair and transparent compensation program for all employees.

The starting salary for this role is between $115,000 - $130,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location.

Individual compensation decisions are based on a number of factors, including experience level, skillset, and balancing internal equity relative to peers at the company. We expect the majority of the candidates who are offered roles at our company to fall healthily throughout the range based on these factors. We recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with candidates during the process.


At Parsley Health we believe in celebrating everything that makes us human and are proud to be an equal opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. 


Important note:

In light of recent increase in hiring scams, if you're selected to move onto the next phase of our hiring process, a member of our Talent Acquisition team will reach out to you directly from an@parsleyhealth.comemail address to guide you through our interview process. 

    Please note: 

  • We will never communicate with you via Microsoft Teams
  • We will never ask for your bank account information at any point during the recruitment process, nor will we send you a check (electronic or physical) to purchase home office equipment

We look forward to connecting!

#LI-Remote

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+30d

Analytics Engineer

GrammarlyGermany; Hybrid
remote-firstsqlDesign

Grammarly is hiring a Remote Analytics Engineer

Grammarly offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture.

About Grammarly

Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of theFortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.

The Opportunity

To achieve our ambitious goals, we’re looking for an Analytics Engineer to enable Grammarly to make better, faster, data-driven business decision-making. As part of our esteemed data team, this role is pivotal in allowing us to make quicker, more informed business decisions. The person in this role will have the opportunity to help build an exceptional Analytics stack, foster a data-driven culture throughout our organization, and empower decision-makers at all levels with a reliable source of truth.

The Analytics Engineer will team up with product, marketing, and business leaders, alongside other data experts, to create exceptional and scalable analytical solutions for our company.

Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.

As an Analytics Engineer, you will:

  • Own the last mile data delivery for product and business stakeholders.
  • Form a deep understanding of the business, your partners' opportunities and problems, and how data can solve them.
  • Work closely with data scientists to define and operationalize critical business metrics.
  • Team with data engineers to design dimensional tables to be used by power users and other developers.
  • Write complex, production-grade SQL pipelines using engineering best practices for testing, version control, and documentation.
  • Create scalable analytical solutions, such as dashboards, alerts, and tools, to enable your users' self-serve reporting and analysis capabilities.
  • Continuously re-evaluate our data ecosystem against industry best practices and new third party technologies to ensure Grammarly’s analytics stack remains best-in-class.

Qualifications

  • Is excellent at using SQL for data pipeline development in a modern data stack (Databricks, Snowflake, BigQuery, Redshift, dbt, etc.)
  • Has 8+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, or a similar role.
  • Is familiar with data modeling principles and best practices.
  • Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward impact and actionable insights.
  • Has a passion for communicating insights through the language of data.
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.

Support for you, professionally and personally

  • Professional growth:We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
  • A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs. 
  • Comprehensive benefits for candidates based in Germany:Grammarly offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.

For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.

#LI-Hybrid

 

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+30d

Analytics Engineer, Finance

PodiumLehi, Utah, Open to Remote
Bachelor's degreesqlDesigngit

Podium is hiring a Remote Analytics Engineer, Finance

At Podium, our mission is to help local businesses win. Our lead conversion platform, powered by AI and integrations, helps local businesses convert leads faster, communicate easier, and make more sales. Every day, thousands of local businesses utilize our review management, communication, marketing, and payments products. 

Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies.

At Podium, we believe in fostering a culture that thrives on hiring and developing exceptional talent. Our operating principles serve as a compass, guiding daily behavior and decision-making, and ensure we hire people who will thrive at Podium. If you resonate with our operating principles and are energized by our mission, Podium will be a great place for you!

The Role

As an Analytics Engineer at Podium, you will help to deepen our understanding of Finance and Billing data at Podium, enabling multiple teams with access to critical data. You will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be our internal Revenue Operations and Data Science team as well as the Finance and Accounting teams. You will work closely with talented Data Analysts, Data Engineers, and Data Scientists. The core responsibility requires you to create new data pipelines using SQL and dbt. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.

Responsibilities:

  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect data models through SQL
  • Write documentation for best practices and to record Podium’s data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

You're background:

  • 3+ years of work experience SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience using Git for version control
  • Exposure to Financial data and familiarity with key metrics such as MRR and churn
  • Experience using dbt and Snowflake is desirable
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace

Benefits

  • Open and transparent culture 
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan with competitive company matching
  • Bi-annual swag drops with cool Podium gear and apparel 
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees
  • Additional benefits for fully remote employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.

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