Further
Technology
DataScienceAnalyst
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Science Analyst at Further. Skills: Data science, Advanced analytics, Statistical modeling. Support discovery work. Develop structured backlog”
What You'll Achieve.
Contribute to experimentation backlog; Deliver actionable insights; Make confident decisions
Industry & Context.
Data interpretation; Actionable insights
What They're Looking For.
Must Have
2-5 years experience, R or Python command, Statistical theory understanding, Hypothesis testing, Regression analysis, Experimental design
Nice to Have
SQL proficiency preferred, Causal inference methods a plus, Data-to-story skills
What You'll Do.
Support discovery work
Develop structured backlog
Assist designing briefs
Assist executing briefs
Partner closely with engineers
Develop data-driven recommendations
How You'll Work.
Team & Collaboration
Client stakeholders; Internal stakeholders; Engineers
Communication Scope
Present to non-technical audiences; Business-focused way
Full Job Description
WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat! We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value. What you bring: 2–5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor. Strong command of R and/or Python for data manipulation and statistical analysis. Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus. Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs. Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.). Bonus Points: Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value. Bonus Points: Adobe Analytics What you’ll be doing: Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis. Assist in designing and executing reporting, analytics, and optimization briefs. Partner closely with engineers to ensure data accuracy and data pipelines are quality-check
Applying for this Data Science Analyst role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Further?
Real rants from real employees. Read before you apply.