ABOUT KHAN ACADEMY

Khan Academy is a nonprofit with the mission to deliver a free, world-class education to anyone anywhere. Our proven learning platform offers free, high-quality supplemental learning resources that cover Pre-K - 12th grade and early college core academic subjects, with a focus on math and science.  We have over 155 million registered learners globally and are committed to improving learning outcomes for students around the world, with a focus on learners in historically under-resourced communities. 

OUR COMMUNITY

Our students, teachers, and parents come from all walks of life, and so do we.  Our team includes people from academia, traditional/non-traditional education, big tech companies, and tiny startups. We hire great people from diverse backgrounds and experiences because it makes our company stronger.  We value diversity, equity, inclusion, and belonging as necessary to achieve our mission and impact the communities we serve.  We know that transforming education starts in-house with learning about ourselves and our colleagues. We strive to be world-class in investing in our people and commit to developing you as a professional.

THE ROLE

We’re a small team with big dreams and we’re only just getting started. We have some of the richest educational data in the world, and we want to leverage that data to develop a clearer picture of who our users are, how they are using the site, and how we could better serve them on their educational journey. Your work will enable answering critical and meaningful questions like "how do students learn most effectively?" and "how can we improve our content and product?".

The Sr. Analytics Engineer will strengthen our capabilities to enable the organization to use data to inform our decisions. You’ll have ownership of our enterprise data model and the core data pipelines that power our top line metrics and critical analyses. 

The Sr. Analytics Engineer is someone who enjoys tidying and documenting data and then delighting in the company’s well-organized EDW. You favor writing SQL to transform raw data into the data models to service your customers, the Analytics and Research teams, to empower them to generate actionable insights for stakeholders. You’ll work on projects that improve the quality and reliability of our existing data, and you’ll also enable entire new areas of the organization with new core data sources. And you adopt software engineering best practices to produce high quality data solutions.

What you’ll do:

• Systematically build out our enterprise data model and warehouse:
  • Design, build, and productionize our ever-improving suite of core pipelines and data tables to enable standardized reporting and analysis.
  • Collaborate with engineers on the infrastructure team to improve our data technology stack (logging, instrumentation, ETL, security). You may also pitch in to help them bring new data into our warehouse.
  • Partner with analytics team members, the research team, and the broader product and business teams to design and standardize business rules and metric definitions. 
  • Implement EDW standards and robust monitoring/QA processes to ensure we continue to improve the quality and reliability of our data.
• Empower every team with data:
  • Identify, pilot, and deploy whichever tools, datasets, and processes are best suited to increase access to and data use across Khan Academy to empower data-driven decision-making.
  • In addition to supporting members of the Data Insights Group, work with the product, content, philanthropy, marketing teams, and others to bring data to their fingertips, ideally with solutions that allow them to self-serve with our Looker implementation.
  • You will also build infrastructural data solutions to facilitate reporting to external partners and will ensure the highest standards of data accuracy, reliability, and security
• Help instill a ‘data driven’/’data informed’ culture:
  • Shepherd our Metrics and Data Documentation wiki
  • Train team members on data skills and tooling

WHAT YOU BRING:

• 6+ years experience in analytics engineering / data engineering or data warehousing; or in a business intelligence field with a strong emphasis on data modeling and pipeline work. Preference for experience in a consumer-facing internet business or edtech setting.
• Advanced SQL skills (window functions, creating UDFs,  DML/DDL commands, etc.)
• Proficiency in writing and maintaining data pipelines and data quality monitors in a workflow management tool for productionized solutions, with source control and code review.
• Proficiency in computer science and software engineering fundamentals, including at least one scripting language (e.g., Python)
• Experience across the entire data lifecycle: instrumentation, logging, data modeling, ETL, Business Intelligence, and visualization tools.

PERKS AND BENEFITS

We may be a non-profit, but we reward our talented team extremely well!

• Competitive salaries
• Ample paid time off as needed – Your well-being is a priority.
• Remote-first culture - that caters to your time zone, with open flexibility as needed, at times
• Generous parental leave
• An exceptional team that trusts you and gives you the freedom to do your best
• The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education
• Opportunities to connect through affinity, ally, and social groups
• And we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life

At Khan Academy we are committed to fair and equitable compensation practices, the well-being of our employees, and our Khan community. This belief is why we have built out a robust Total Rewards package that includes competitive base salaries, and extensive benefits and perks to support physical, mental, and financial well-being.

The target salary range for this position is $137,871 - $152,000 USD / $172,339 - $190,000 CAD. The pay range for this position is a general guideline only. The salary offered will depend on internal pay equity and the candidate’s relevant skills, experience, qualifications, and job market data. Exceptional performers in this role who make an outsized contribution can make well in excess of this range.  Additional incentives are provided as part of the complete total rewards package in addition to comprehensive medical and other benefits.

MORE ABOUT US

• Sal’s TED talk from 2011
• Sal’s TED talk from 2015
• Sal’s TED talk from 2023
• Our team:  http://www.khanacademy.org/about/the-team

OUR COMPANY VALUES

Live & breathe learners

We deeply understand and empathize with our users. We leverage user insights, research, and experience to build content, products, services, and experiences that our users trust and love. Our success is defined by the success of our learners and educators.

Take a stand

As a company, we have conviction in our aspirational point of view of how education will evolve, and we aren’t afraid to take bold bets to invent the future we want to see. The work we do is in service to moving towards that point of view. However, we also listen, learn and flex in the face of new data, and commit to evolving this point of view as the industry and our users evolve.

Embrace diverse perspectives

We are a diverse community. We seek out and embrace a diversity of voices, perspectives and life experiences leading to stronger, more inclusive teams and better outcomes. As individuals, we are committed to bringing up tough topics and leaning into different points of view with curiosity. We actively listen, learn and collaborate to gain a shared understanding. When a decision is made, we commit to moving forward as a united team.

Work responsibly and sustainably

We understand that achieving our audacious mission is a marathon, so we set realistic timelines and we focus on delivery that also links to the bigger picture. As a non-profit, we are supported by the generosity of donors as well as strategic partners, and understand our responsibility to our finite resources. We spend every dollar as though it were our own. We are responsible for the impact we have on the world and to each other. We ensure our team and company stay healthy and financially sustainable.

Bring out the joy

We are committed to making learning a joyful process. This informs what we build for our users and the culture we co-create with our teammates, partners and donors.

Cultivate learning mindset

We believe in the power of growth for learners and for ourselves. We constantly learn and teach to improve our offerings, ourselves, and our organization. We learn from our mistakes and aren’t afraid to fail. We don't let past failures or successes stop us from taking future bold action and achieving our goals.

Deliver wow

We insist on high standards and deliver delightful, effective end-to-end experiences that our users can rely on, while at the same time, we don’t let perfect be the enemy of the good.We choose to focus on fewer things — each of which aligns to our ambitious vision — so we can deliver high-quality experiences that accelerate positive measurable learning with our strategic partners.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, gender, gender identity or expression, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. We value diversity, equity, and inclusion, and we encourage candidates from historically underrepresented groups to apply.

What this job can offer you

• A chance to work on creating data models that guide incredibly important commercial initiatives
• Opportunity to work on extremely cross-functional initiatives (incl. Sales, Marketing, Finance, Data Engineering & of course Analytics) to broaden big picture knowledge
• A chance to set standards for high quality analytics engineering practices within the Revenue Analytics team
• Vast autonomy around your schedule, influence on tooling and the crafting of technical solutions

What you bring

• 4+ years of experience in data/analytics/software engineering (Data Analysts or Scientists with demonstrated analytics engineering skills also welcome)
• Top-Tier written & oral communication skills with the ability to adapt and explain complex technical topics for less technical audiences
• Experience with SQL, ETL, data modelling, and at least one programming/scripting language (e.g. Python, C++, C#, Scala, etc.)
• Proficient understanding of software engineering practices, including version control, CI/CD, testing and documentation
• Working knowledge of dbt as well as a data pipeline orchestration tool
• A pragmatic mindset with a focus on delivering practical solutions and rolling up the sleeves to make an impact, and a desire to collaborate with Data Engineers, Analysts & Business Users
• Writes and speaks fluent English

Nice To Have:

• Startup/Scaleup Experience, AWS Knowledge, Comfort with distributed & remote teams, EMEA Location, SalesForce Data Experience, Hands-On familiarity with a BI Tool such as Tableau/Looker
• It's not required to have experience working remotely, but considered a plus

Job Responsibilities

• Design, build, and maintain databases and automated data processes, leveraging Python libraries, Scripting and SQL, with a focus on clarity, consistency, and accuracy of data across various platforms and systems
• Merging, Cleaning & Aggregating data from different tools & platforms (e.g. Funnel.io, SalesForce, HubSpot, Ad Platforms such as Meta) to create an end-to-end unified picture of Sales, Marketing & Revenue Analytics
• Building & Maintaining internal tooling and data aggregations for effective reporting & visualizing of KPIs in dashboards, particularly around time-series metrics
• Liaising productively with Data Analysts and business teams to ensure that data products & solutions built are not only technically sound but highly effective and widely useful
• Bring polished data to Data Analysts and eventually to decision-makers, building pipelines, automations, aggregations and transformations that enable useful insights into Sales, Marketing & Revenue Performance
• Collaborate closely with our data engineering and analytics teams to ensure data reliability, scalability, and accuracy

Practicals

• You'll report to: Director Of Revenue Analytics
• Direct reports: None
• Team: Go-To-Market
• Location: For this position we welcome everyone to apply, but we will prioritise applications from the following locations as we encourage our teams to diversify;
• Start date: As soon as possible

Remote Compensation Philosophy

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $42,750 USD to $96,200 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

Roughly 6 hours across 6 weeks

1. Interview with recruiter
2. Interview with future manager
3. Technical interview with a data/analytics engineer (and maybe manager)
4. Interview with team members (no managers present)
5. Prior employment verification check

#LI-DNP

WHAT YOU’LL DO

Team Overview:

Join our dynamic team dedicated to revolutionizing data analytics for impactful decision-making. The team collaboratively shapes data strategies, optimizing analytics practices to drive business growth.

Responsibilities:

• Lead the design, implementation, and monitoring of large-scale data warehouses.
• Excel in SQL with proficiency in window functions, STRUCT/ARRAY manipulation, and query optimization.
• Dive deep into product understanding, team roadmaps, technical architecture, and data flow.
• Mentor data-savvy stakeholders on data best practices.
• Expertly design data models (Snowflake, Star, Data Vault 2.0) for clean data structures.
• Track downstream usage and feedback for continuous improvement.
• Adhere to and promote performance best practices based on specific database engine requirements.
• Embrace a passion for data cataloging, metadata management, and adherence to data governance principles.
• Design systems with a test-driven approach for trapping bad-quality data and highlighting alerts.
• Utilize tools like dbt for building efficient data transformation pipelines.
• Partner effectively with engineering, data analysts, data scientists, and business stakeholders.

WHO YOU ARE

The ideal candidate for this role possesses:

• 4+ years of hands-on experience in Snowflake and other cloud data warehouses.
• Proven expertise in SQL, data modeling, and data governance principles using dbt.
• A track record of leading impactful data projects.
• Effective collaboration skills with cross-functional teams.
• In-depth understanding of technical architecture and data flow.
• Ability to mentor and guide stakeholders on data best practices.
• Proficiency in schema design (Snowflake, Star, Data Vault 2.0) and large-scale data warehouse implementation.
• Passion for clean data structures and continuous improvement.
• Strong analytical and problem-solving skills.
• Enthusiasm for SQL frameworks like dbt.
• Expertise in owning and managing dbt projects.
• Dedication to applying data governance principles at scale.

#LI-REMOTE

Hi, we're Oscar. We're hiring an Analytics Engineer II to join our Data Science 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 II, you will occupy a vital position in Oscar’s financial data pipeline, both as an architect of improvements to its infrastructure and in the delivery of transformed data to downstream users.  You will play a leading role in the design and implementation of the Financial Data Hub, a DBT project of fit for purpose financial transaction data and functionality, and its integration with financial record keeping software.  You will also contribute to the creation and enhancement of comprehensive and reliable Certified Datasets (CDS) curated to reduce time-to-insight for stakeholders and facilitate efficient answering of business questions.  You will maintain strong collaborative relationships with business stakeholders and partner with them to understand requirements for the Financial Data Hub and for Finance CDS features.

You will report to an Associate Director, Financial Data Platform. 

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 Ave), 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: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, 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: $119,200 - $156,450 per year. You are also eligible for employee benefits, monthly vacation accrual up to 10 days per year, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities

• Partner with the Finance team to determine the requirements for the structure of data and functionality in the Financial Data Hub and the flow of data between the Hub and Finance's software.  Design and build the Hub and its connections based on those requirements.
• Become a financial data subject matter expert and use that knowledge both to inform the design and build of the Financial Data Hub and to contribute to expanding the breadth, depth, and accuracy of Finance CDS, the principal direct source of financial data for the Hub and for business users across Oscar.
• Promote data fidelity in upstream data producing systems and expand quality checks within Finance CDS and the Financial Data Hub.
• Partner with Engineering to validate updates to raw financial data structure within an evolving production system and update Finance CDS and Financial Data Hub code accordingly while preventing service interruption for stakeholders.
• Identify opportunities and implement solutions to enhance the efficiency of existing financial data transformations, with a focus on speed, cost-effectiveness, and stability.
• Train and mentor data scientists and data engineers in analytics engineering best practices

Qualifications

• 3+ years of experience in Analytics Engineering, Data Science, or a related field.
• 3+ years of experience working with a variety of database languages, including SQL, DDL and DML with demonstrated ability to efficiently transform data and databases.
• 2+ years of experience with cloud database tools (GCP, AWS, Azure)
• 2+ years of experience developing within a modern data transformation tool like DBT.
• 1+ years of experience working with and presenting to non-technical stakeholders.

Bonus Points

• Experience integrating cloud database tools (GCP, AWS, Azure) with financial software (Workday, Netsuite)
• Experience working with healthcare data, analytics, and reporting.
• Experience with Google Cloud Platform.
• 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.

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Analytics Engineers, Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives
continuous value by enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, generative AI, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

The Role: Senior Analytics Engineer

As a member of our data team, you'll deliver high quality work while solving challenges that impact the whole or part of the team's data architecture. You'll update yourself with recent advances in Big data space and provide solutions for large-scale applications aligning with team's long term goals. Your work will help resolve complex problems with identifying root causes, documenting the solutions, and implementing Operations excellence (Data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

• Design, architect and implement best-in-class Data Warehousing and reporting solutions
• Partner with product managers, data engineers and other functions to drive insights for the firm
• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Perform analysis to derive actionable insights for key stakeholders
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts and perform data validation
• Tune SQL queries, reports and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Minimum Qualifications:

• 4+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
• Advanced skills with Python and SQL are a must
• 4+ years experience in custom ETL design, implementation and maintenance
• 4+ years experience with schema design and dimensional data modeling
• Experience making sense of data and developing actionable insights
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
• Experience with statistics, machine learning and generative AI
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication

Preferred Qualifications:

• Proficient in Developing LookML
• Proficient in Python
• Knowledge and experience of blockchain, financial markets, banking or exchanges

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $136,000 - $170,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AH1

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 Ave), 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, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, 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 $119,200 - $156,450. 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 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 processes 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

• 2+ years of experience in Analytics Engineering, Data Analytics, Data Science, or a related field.
• 1+ years of experience developing with modern data transformation and workflow tools such as DBT and Airflow.
• 1+ years of experience with cloud database tools (GCP, AWS, Azure).
• Knowledge of a variety of database languages, including SQL, DDL and DML with demonstrated ability to efficiently transform data and databases.
• Strong communication skills, verbal and written, as demonstrated by experience on at least 1 project requiring translation of business requirements from non technical stakeholders into technical specifications.

Bonus Points

• Experience working with healthcare data, analytics and reporting, particularly with claims payments data.
• Experience with Google Cloud Platform and/or DBT.
• A background in healthcare and/or insurance.

What this job can offer you

This is an exciting time to join the growing Data Team at Remote, which today consists of over 15 Data Engineers, Analytics Engineers and Data Analysts spread across 10+ countries. Throughout the team we're focused on driving business value through impactful decision making. We're in a transformative period where we're laying the foundations for scalable company growth across our data platform, which truly serves every part of the Remote business. This team would be a great fit for anyone who loves working collaboratively on challenging data problems, and making an impact with their work. We're using a variety of modern data tooling on the AWS platform, such as Snowflake and dbt, with SQL and python being extensively employed.

What you bring

• 3+ years of experience in analytics engineering; high-growth tech company experience is a plus
• Strong experience using data transformation frameworks (e.g. dbt) and data warehouses (e.g. Redshift), strong proficiency in SQL
• Strong knowledge in data modelling techniques (Kimball, Data Vault, etc)
• Solid Experience with data visualization tools (e.g. Metabase)
• Strong affinity towards well crafted software - testing, knowledge of best practices, experience with CI/CD (e.g. Gitlab, Github, Jenkins)
• A self-starter mentality and the ability to thrive in an unstructured and fast-paced environment
• Proven collaboration and communication skills
• Experience in dealing with ambiguity, working together with stakeholders on taking abstract concepts and turning them into data models that can answer a variety of questions
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus

Key Responsibilities

• DBT Modelling:
  • Design, develop, and maintain dbt (Data Build Tool) models for data transformation and analysis, providing clean and reliable data to end users enabling them to get accurate and consistent answers by self-serving on BI tools.
  • Collaborate with Data Analysts and Business Stakeholders to understand their reporting and analysis needs and translate them into DBT models.
  • Own our internal dbt conventions and best practices, keeping our code-base clean and efficient (including code reviews for peers).
• Data Analytics & Monitoring:
  • Ensure data quality and consistency by implementing data testing, validation and cleansing techniques.
  • Implement monitoring solutions to track the health and performance of the data present in our warehouse.
  • Train business users on how to use data visualisation tools.
• Drive our Culture of Documentation:
  • Create and maintain data documentation & definitions, including data dictionaries and process flows.
  • Collaborate with cross-functional teams, including Data Analysts, Business stakeholders, to understand their data requirements and deliver effective data solutions.
  • Share knowledge and provide guidance to peers, creating an environment that empowers collective growth.

Practicals

• You'll report to: Engineering Manager - Data
• Team: Data Engineering
• Location: Anywhere in the World, but we will prioritise candidates from APAC countries to ensure the diversity
• Start date: As soon as possible

Compensation Philosophy 

Remote's Total Rewards philosophy is to ensure fair, unbiased compensation and fair equity pay along with competitive benefits in all locations in which we operate. We do not agree to or encourage cheap-labor practices and therefore we ensure to pay above in-location rates. We hope to inspire other companies to support global talent-hiring and bring local wealth to developing countries.

At first glance our salary bands seem quite wide - here is some context. At Remote we have international operations and a globally distributed workforce. We use geo ranges to consider geographic pay differentials as part of our global compensation strategy to remain competitive in various markets while we hiring globally.

The base salary range for this full-time position is between $42,750 USD to $96,200 USD. Our salary ranges are determined by role, level and location, and our job titles may span more than one career level. The actual base pay for the successful candidate in this role is dependent upon many factors such as location, transferable or job-related skills, work experience, relevant training, business needs, and market demands. The base salary range may be subject to change.

Application process

1. (async) Profile review
2. Interview with recruiter
3. Interview with future manager
4. (async) Small challenge
5. (async) Challenge Review
6. Interview with team members (no managers present)
7. Prior employment verification check(s)
8. (async) Offer

#LI-DP

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency. 

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Analytics

Data and analytics are central to all of our business functions and drive many of our most important decisions at Gemini. The Analytics team is responsible for data architecture, data engineering, business intelligence, machine learning, and data governance functions that shape the way data is stored and leveraged across Gemini. Analytics Engineers, Data engineers and Machine Learning engineers make up the Analytics team are responsible for building the primary decision support system that derives continuous value by enabling individuals and various functional groups to make data driven informed decisions via our reliable data processes, data products and advanced analytics ability. The projects executed by the team cover a wide-range of topics including user acquisition and customer journey, cryptocurrency performance, generative AI, product analytics, order book analytics, risk analytics, enabling automated and scalable blockchain based reconciliation systems, building predictive models all the way to enabling anomaly and fraud detection.

The Role: Analytics Engineer

As a member of our data team, you'll deliver high quality work while solving challenges that impact the whole or part of the team';s data architecture. You'll update yourself with recent advances in Big data space and provide solutions for large-scale applications aligning with team's long term goals. Your work will help resolve complex problems with identifying root causes, documenting the solutions, and implementing Operations excellence (Data auditing, validation, automation, maintainability) in mind. Communicating your insights with leaders across the organization is paramount to success.

Responsibilities:

• Design, architect and implement best-in-class Data Warehousing and reporting solutions
• Partner with product managers, data engineers and other functions to drive insights for the firm
• Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python
• Design, build and enhance dimensional models for Data Warehouse and BI solutions
• Perform analysis to derive actionable insights for key stakeholders
• Perform root cause analysis and resolve production and data issues
• Create test plans, test scripts and perform data validation
• Tune SQL queries, reports and ETL pipelines
• Build and maintain data dictionary and process documentation
• Research new tools and technologies to improve existing processes

Minimum Qualifications:

• 2+ years experience developing a BI applications (Tableau/Looker/Power BI, etc)
• Advanced skills with Python and SQL are a must
• 2+ years experience in custom ETL design, implementation and maintenance
• 2+ years experience with schema design and dimensional data modeling
• Experience making sense of data and developing actionable insights
• Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc)
• Experience with one or more ETL frameworks (Custom, DBT, Databricks, etc)
• Experience with statistics, machine learning and generative AI
• Strong software engineering skills in any server side language, preferable Python
• Experienced in working collaboratively across different teams and departments
• Strong technical and business communication

Preferred Qualifications:

• Proficient in Developing LookML
• Proficient in Python
• Knowledge and experience of financial markets, banking or exchanges

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $104,000 - $130,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-MW1

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 ROLE ????

In this role, you will:

• Be the owner of our in-house accounting data product, quote to cash (Q2C). Q2C is a series of data models that allows for individual level accounting, mapping user events to business logic, that powers our financial reporting.
• Work intimately with our accounting and finance teams to make sure that Q2C is kept up to date with changes in accounting policies.
• Partner with the product and engineering teams across the company that build revenue generating products (e.g. premium, our credit card, bill negotiations, etc.) to understand how data is generated and make sure that the changes we make in our product are properly handled in our data models.
• Be the expert on our financial data. Be the trusted person that members of the data team and leadership at large can turn to when they want to better understand the details of our financial data.
• Work with your analytics engineering teammates to continuously iterate and improve upon how we use dbt.
• 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).

ABOUT YOU ????

• You have 5+ 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 dbt (particularly CI/CD) and some of the other portions of our analytics stack (BigQuery/GCP, Fivetran, Looker, Mode).
• 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. 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 knowing a bit about adjacent technical areas and dipping your toes in when necessary.

Bonus points if:

• You have experience working with accounting or financial data.
• You have worked with (e.g. built, maintained, integrated, etc.) enterprise accounting systems.

WE OFFER ????

• Health, Dental & Vision Plans
• Competitive Pay
• Matching 401k
• Unlimited PTO
• Lunch daily
• Snacks & Coffee
• Commuter benefits

Additional information: Salary range of $130,000 - $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.

BetterCloud is the market leader for SaaS Operations, enabling IT professionals to transform their employee experience, maximize operational efficiency, and centralize data protection. With no-code automation enabling zero-touch workflows, thousands of forward-thinking organizations like Twitch, Oscar Health, and Cloud Factory now rely on BetterCloud to automate processes and policies across their cloud application portfolio.

With 10+ years of experience pioneering the SaaS Operations movement, BetterCloud now serves the world’s largest community of SaaSOps experts. As host of Altitude, the industry’s leading SaaSOps event, and publisher of The State of SaaSOps Report, the category’s definitive market research, BetterCloud is recognized by customers (G2) and leading analyst firms (Gartner and Forrester) as the market leader in SaaS Operations. 

This role is remote and/or out of our new and exciting Mexico City Office. Mexico City is our first office outside of the US, and you’ll be one of the first employees there, helping us build the office from scratch and shape an amazing culture. BetterCloud is backed, among others, by some of the best technology investors Vista Equity Partners, Warburg Pincus, Bain Capital, and Accel.

About You

• Bachelor’s degree in engineering,math, finance, statistics, economics, information technology, or related discipline 
• Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases
• 3-5 years in the analysis space as a Data Analyst, FP&A Analyst, or Analytics/Business Intelligence/Data Engineer
• 2+ years experience in Tableau/Looker/PowerBI Data Visualization creating dashboards 
• 2+ years Python experience, specifically for the automation of data retrieval from data sources such as third party systems, APIs, document stores, etc…
• 2+ years experience with any data warehouse ( BigQuery, Redshift, Postgres, etc..)
• Experience with any orchestration tool (Airflow, Dagster, Prefect, etc..)

What You’ll Do 

• Drive metric generation and Tableau dashboard creation to provide key stakeholders with actionable insights across customer success, engineering, and the entire BetterCloud organization
• Facilitate the transfer of data from a variety of sources to BigQuery (for example: Kafka, ElasticSearch, MySQL, Salesforce, Our platform (BetterCloud)).
• Help maintain and improve existing infrastructure that powers our existing analytics and reporting technology stack by keeping up to date with the current data analytics landscape.
• Model data at rest in BigQuery to enable powerful data analysis via Tableau.
• Be an advocate for best practices and continued learning. 
• Help drive the business and product architecture of the organization.

Goals

In your first week, you will have…

• Completed our 4-day universal onboarding program, BetterBeginnings 
• Met with your manager 1:1
• Met your team
• Gained access to the tools and resources necessary to be successful in your new role 

In your first 30 days, you will have…

• Completed your department’s functional onboarding program 
• Met and collaborated with your team 
• Identified projects and tasks that you’ll dive into moving forward 

What We Offer

• Hybrid work model with up to 2 days per week working from home*
• Generous PTO policy plus paid mental health days
• Seguro de Gastos Médicos Mayores, Seguro de Asistencia Médica, Vision Insurance, Dental Insurance, Life Insurance and dedicated mental health resources
• Vales de despensa
• Financial wellness support and one-time WFH stipend
• Plus more… Think events, killer swag, and a strong BetterCloud Community!

BetterCloud is an Equal Opportunity Employer, including disabled and vets.

*Remote - This role is not eligible for remote employees. Employees must be based in the Mexico City area. 

#LI-Hybrid 

EquipmentShare is Hiring an Analytics Engineer

EquipmentShare is searching for an Analytics Engineer to join our team. This position is fully remote.

What You’ll Do as an Analytics Engineer

Despite having been fundamentally altered by earlier industrial revolutions, the construction industry has hardly budged with the computer revolution. In fact, since 1970, labor productivity in the US construction industry has actually declined, despite it more than doubling in the rest of the economy. This has contributed to housing shortages and the parlous state of infrastructure in some places, and is sanding the gears of carbon reduction efforts.

We think the industry is ripe for change, and we’re pushing the leading edge of that change with our next generation T3 Platform, the OS for Construction. Through T3, we help contractors to coordinate humans and (increasingly smarter) machines to build more effectively.

As an Analytics Engineer in our small and quickly growing team, you will play a major role in this effort. In particular, you will:

• Establish sound pipelines and clear table structures for a wide variety of metrics used by both the business analytics and data science / ML engineering parts of the organization
• Work closely with the rest of the Data Science & Analytics Platform team to enable cutting edge algorithms, causal inference and analytics within a fast-moving environment, while adhering to industry best practices in terms of data access, security, traceability, etc

About You as an Analytics Engineer

Our mission is to change an entire industry, so we only hire people inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in a crucial industry for human welfare.

Minimum Qualifications for an Analytics Engineer

• Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field
• 2+ years working on technology-powered products as either a data platform engineer, data engineer, ML engineer, analytics engineer or a closely related role
• Experience with data modeling: specifically the creation of dimensional models and fact tables (Data Vault experience not necessary but would be a plus)
• Demonstrated understanding of the techniques and methods of modern product development
• Demonstrated understanding of business analytics

• Strong cross-functional communication skills
• Must be qualified to work in the United States or the United Kingdom - we are not sponsoring any candidates at this time

Why We’re a Better Place to Work

• Competitive compensation packages 
• 401 (k) and company match
• Health insurance and medical coverage benefits
• Unlimited paid time off
• Generous paid parental leave
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home
• Opportunities for career and professional development with conferences, events, seminars, continued education
• State of the art onsite gym (Corporate HQ)/Gym stipend for remote employees

Since our incorporation in 2015, we’ve had incredible growth — and we’re not stopping anytime soon. Ready to invest in our mission, invest in yourself and discover a better place to work? Then, we’d love to meet you.

At EquipmentShare, it’s more than just a job — it’s a calling. Apply today. 

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote