Data Science Analyst

About the role

We are seeking a Data Science Analyst to join our team. This role involves interpreting data to drive decision-making and ensuring clients turn raw data into measurable business value.

Responsibilities

• Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
• Aid 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.
• 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.

Qualifications

• 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.
• Bonus points for proficiency in Adobe Analytics.

Benefits

• Net-zero cost medical option
• Company contributions to your HSA
• Fertility support
• Fully-paid parental leave
• A monthly stipend for your lifestyle spending account

Pay

Details TBA

Schedule

Details TBA