Further is hiring a Data Science Analyst

Responsibilities

• 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-checked before being leveraged for reporting, analysis or modeling.
• Perform analysis to uncover actionable insights and develop data-driven recommendations
• Present findings to internal and client stakeholders in a clear, business-focused way.

Requirements

• 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.
• Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.

Nice to Have

• Familiarity with causal inference methods is a significant plus.
• Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
• Exceptional "data-to-story" skills—the ability to explain the "so what" behind a coefficient or a p-value.
• Adobe Analytics

Additional Information

• Our total rewards program is designed for your protection, peace of mind, and overall well-being.
• We offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.