Analytics Engineer Remote Jobs

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Junior Analytics Engineer [Poland]

EgnytePoznań, Poland

Egnyte is hiring a Remote Junior Analytics Engineer [Poland]







Egnyte is a place where we spark opportunities for amazing people. We believe that every role has meaning, and everyEgnytershould be respected. With 17,000 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 ofEgnytersthat are doers, thinkers, and collaborators who embrace and live by our values:

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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 17,000 organizations, helping customers improve data security, maintain compliance,preventand detect ransomware threats, and boost employee productivity on any app, any cloud, anywhere. For more information,


We’re looking for a Junior Analytics Engineer to join our Data Engineering & Analytics team.

The team is at the center of Egnyte’s data infrastructure and provides the business with data in multiple different forms. The Analytics Engineering sub-team keeps its prime focus on the dataitself butdoes so while employing software engineering standards 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 Junior within the team, you will have the opportunity to learn modern Data Modelling tools,processesand best practices, all while having the support of other talented individuals within the team.



  • Designing, building and validating data transformation pipelines, in order to create datamodels
  • Developing and curating the logic behind reverse ETL processes
  • Collaborating with analysts to define data needs and provide use-casesolutions
  • Documenting our data models,logicand the raw data itself
  • Performing internal code & data reviews
  • Monitoring for and solving data qualityissues
  • Providing ad-hoc data



  • Have good knowledge of SQL, both Data Definition and Data Manipulation
  • Basic experience with cloud or on-prem databases
  • Are aware of different data modeling techniques (Kimball,Inmon) and their modernuses
  • Possess strong analytical skills with an attention todetails
  • Have good verbal and written Englishskills
  • Possess good communication skills and a team player attitude, in order to effectively communicate with team members and businessstakeholders
  • Eager and open to learn, are ready to take the next step into the engineering space in the dataworld



  • Knowledge of data pipelines and development tools around them (preferablydbt, Airflow)
  • Knowledge ofcloud baseddata warehousing solutions (BigQuery, Azure Synapse Analytics, Redshift, etc.)
  • Experience with Git and cloud repositories (GitLab, GitHub, etc.)
  • Experience with Python
  • Experience with Tableau or other data visualization tools
  • Experience in working within an Agileenvironment 



  • Salary tailored to your experience andskills
  • Flexible forms of employment and working hours
  • Great office space overlooking Lake Malta. We enjoy working there, but if you live too far away to visitPoznańregularly, that’s totally fine. We know how to effectively work in a hybrid/remote model and will figure out a way for you to comfortably do your bestwork
  • Stock options
  • Your own Egnyte account with lifetime access (2 TB of storage)
  • 4000 PLN Gross conference budget per person and additional 4 training days each year
  • MyBenefit: you can choose aMultiSportcard or gift card everymonth
  • Private medical healthcare
  • In-house English classes



At Egnyte, we celebrate our differences and thrive on our diversity for our employees, our products, our customers, our investors, and our communities.Egnytersare 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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Analytics Engineer (Remote)


Simpletire is hiring a Remote Analytics Engineer (Remote)

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Analytics Engineer

SuperconductiveRemote job, Remote

Superconductive is hiring a Remote Analytics Engineer

Great Expectations’ mission is to revolutionize the speed and integrity of data collaboration. Our software platform, Great Expectations is the leading open source tool for data testing, documentation, and profiling. Data teams all over the world use Great Expectations to instrument and understand their data and machine learning pipelines.

Please note: Great Expectations is also known as Superconductive, and you may see references to the Superconductive name during the application process and on our website.

We are looking for an experienced analytics engineer to help keep us empirically grounded by building out our analytics function and company metrics. This is a great opportunity to dive deeper into your career by learning and interacting with many aspects of a rapidly growing company.

The analytics team owns the infrastructure that ingests business data and product usage data, processes it and makes it available to a wide variety of internal teams. Over time, we plan to apply ML models to derive insights from this data to help answer the big questions. We use our own product (i.e. Great Expectations) to ensure data quality throughout our pipeline and act as an internal early adopter of new features to give feedback before they are released.

We are looking for for someone who will:

  • Build Analytics
    • Take ownership of our analytics products and provide a repeatable, accurate understanding of how our products are used, top areas in need of improvement, and the health of our core growth loops. We firmly believe that the same level of diligence should be applied to analytics as our external products
    • Build, deliver and maintain clear, well defined metrics, supporting documentation, and easily consumable reports and dashboards, including new datasets to feed analysis for company focus areas (e.g. growth, user stats, or product stats)
    • Manage data quality and testing, the data catalog, lineage and documentation
    • Maintain, improve and extend the architecture of our current data pipelines
  • Collaborate
    • Become a super user of Great Expectations, collaborating with the product engineering team to give feedback on improving the product
    • Collaborate and build relationships with cross-functional stakeholders to better provide them with new, helpful insights
    • Know when to deliver one-off analyses vs automate a repeatable process
  • Lead
    • Make clear commitments: participate in quarterly PI planning and roadmap development sessions. Translate business needs into project requirements. Advocate for team priorities based on company goals
    • Drive agile processes for the team and day to day prioritization. Deliver on the analytics roadmap
    • Develop and execute on plans. Be able to explain prioritization choices effectively
    • Be an advocate for the Analytics team, its goals and success. Address issues and conflicts head on

As part of Great Expectations, you will also have opportunities to support the community and evangelize Great Expectations through conference talks, workshops, and blog posts.

Why join Great Expectations?   

Glad you asked! We offer…

  • A world class team, with deep roots in open source, cutting-edge software and data development backed by some of the best open source and data infrastructure investors in the industry: Index, CRV, and Root Ventures. We are actively cultivating a new cultural blend of excellent data engineering and AI-enabled technical workflows.

  • A fast-growing company with lots of opportunity for learning and personal growth.

  • A front-row seat to the rapid evolution of data science and engineering. Data work is going through a renaissance, and—as the leading provider of a key piece in the new technology ecosystem—Great Expectations is right in the middle of it.

  • A kind, curious, and open-minded company culture. We are always seeking ways to improve ourselves and our processes; we keep these conversations open to the whole team. We prioritize empowering our team members rather than a command and control hierarchy.

  • A distributed team with lots of flexibility around timing and individual work preferences. We currently have teammates in California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, Missouri, New Hampshire, New Jersey, New York, North Carolina, Oregon, Texas, Utah, Vermont, Virginia, Wisconsin, and Washington. We’d love to add your state.

  • And of course, competitive compensation (base salary + equity package) with available Medical, Dental, Vision & 401K with 5% employer match.

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Analytics Engineer

BlueLabsWashington, District of Columbia, United States

BlueLabs is hiring a Remote Analytics Engineer

About BlueLabs

BlueLabs is a leading provider of analytics services and technology for a variety of industry clients: including government, business, and political campaigns. We help our clients optimize their engagements with individual customers, supporters, and stakeholders to achieve their goals. Simply put: we help our partners do the most good by getting the most from their data. 

Today, our team of data analysts, scientists, engineers, and strategists come together from diverse backgrounds to share a passion for using data to solve the world’s greatest social and analytical challenges. We’ve served more than 400 organizations ranging from government agencies, advocacy groups, political campaigns, and businesses. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach-- serving a diverse set of industries, including the automotive, travel, consumer packaged goods, entertainment, healthcare, media, telecom, and more.

About the team:

The Insights division creates and manages the underlying data that drives our day-to-day work. This is a new team at BlueLabs, created to meet our organization’s evolving client base and business needs, to ensure that BlueLabs is providing the most innovative data and analysis to our clients, all while developing and coaching team members to grow and respond to our company’s goals.


The BlueLabs Insights practice works with non-profit, political, and private sector clients to provide them with high quality analysis to better understand the environment they operate in and inform future decision making. 

The Data Department is all about creating efficiency in the analytical process. The team helps ensure data pipelines are up and running, breaks down data silos to ensure we aren’t duplicating acquisition efforts, and creates documentation to help the Insights team better understand the data they are working with. The Data Department is also the go to for analyzing the value of new data for acquisition and exploring how to better utilize our internal data. 

About the role:

As an Analytics Engineer, you will support the Data Department and Insights project teams to create efficient data models, troubleshoot SQL issues, improve documentation, ensure data quality, and manage data automation. Your track record stepping into this role should reflect domain knowledge in data modeling and ingestion, including experience adapting to changing technologies and/or client priorities.  The Analytics Engineer reports to the Director, Data. 

    In this position you will:

    • Create data models using dbt. This includes refactoring existing code for dbt and working with analytics and data science team members to set up new data models in dbt
    • Configure projects and environment in dbt
    • Collaborate with the team to establish quality standards and metrics for data assets
    • Be responsible for version control documentation for data assets
    • Document final data assets in our data catalog
    • Audit existing SQL code to find efficiencies and add documentation.
    • Help build base tables for reporting, modeling, and client specific projects
    • Complete such other reasonable tasks as may be assigned by management

    Required Experience:

    • 2+ years of SQL experience; experience across multiple platforms e.g. Redshift, BigQuery, Vertica, etc is a plus
    •  Experience working in dbt to create data models in a professional setting.
    • Experience working with automated data pipelines and orchestration tools
    • Ability to diagnose and improve database and query performance issues
    • Familiarity with Git, or experience with other version control system
    • A high attention to detail and ability to effectively manage and prioritize several tasks or projects concurrently 
    • Effective communication and collaboration skills when working with team members of varied backgrounds, roles, and functions
    • Passion in applying your skills to our social mission to problem-solve and collaborate within a cross-functional team environment

    You may also have experience:

    • Some knowledge of object-oriented programming, preferably Python
    • Working on political campaigns or in progressive advocacy
    • Working with voter files or large consumer datasets
    • Working with geospatial data
    • Working with business intelligence software like Tableau, PowerBi, or Data Studio

    Recruitment process

    We strive to hire efficiently and transparently. We expect to hire this position in October 2022. To get there, we anticipate the successful candidate will complete three interviews (HR 15 minutes, technical interview + assessment 45 minutes, and team interview 60 minutes), all virtually. During the interview process, you will be asked questions to describe your background and experience relevant to the position. This may include providing examples of projects you worked on, tools or applications you've used, and knowledge you have applied.  We often look for explanations of "how or why" so it's helpful to have details ready.

    What We Offer:

    BlueLabs offers a friendly work environment and competitive benefits package including:

    • Premier health insurance plan
    • 401K matching
    • Unlimited vacation leave
    • Paid sick, personal, and volunteer leave
    • 13 paid holidays
    • 15 weeks paid parental leave
    • Professional development stipend & tuition reimbursement
    • Macbook Pro laptop & tech accessories
    • Bring Your Own Device (BYOD) stipend for mobile device
    • Employee Assistance Program (EAP)
    • Supportive & collaborative culture 
    • Flexible working hours
    • Remote friendly (within the U.S.)
    • Pre-tax transportation options for commuting to our office in Washington, DC
    • Lunches and snacks
    • And more! 

    The salary for this position is $85,000 annually. 

    While we have an office in Washington, DC, we are open to considering candidates from within the U.S. 

    At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. As an equal opportunity workplace and an affirmative action employer, BlueLabs is committed to creating an inclusive environment for all employees. BlueLabs endeavors to make reasonable accommodations to the known physical or mental limitations of qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations.  BlueLabs participates in E-verify.EEO is the Law(Link to external DOL site)

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