Senior Data Analyst

Who you are

• 5+ years of experience in product or business analytics with demonstrated business impact
• Strong SQL and Python skills
• Hands-on experience designing and interpreting A/B tests in real product environments is a must-have
• Strength in prioritization and stakeholder alignment in fast-moving settings
• Able to work comfortably with evolving or imperfect data
• Clear storytelling and strong communication skills
• Experience with BI tools such as Tableau or Metabase
• Experience with dbt or analytics engineering practices
• Familiarity with experimentation platforms (e.g. Optimizely, ABsmartly)
• Experience with product analytics tools (e.g. Indicative, Amplitude)
• Marketplace or supply-demand analytics experience

What the job involves

• We are building a data-driven product culture, and we are looking for a Senior Data Analyst who can help us get there faster
• In this role, you will translate business goals into measurable outcomes, improve experimentation practices, and bring clarity and consistency to how we define success
• This is the right opportunity if you enjoy having a seat at the table, influencing product decisions, and elevating the role of data across the organization
• Work hand-in-hand with Product and Business teams to define clear success, health, and diagnostic metrics
• Turn complex data into insights that inform roadmap and prioritization
• Balance speed and rigor to guide decisions when data is imperfect or incomplete
• Conduct exploratory data analysis to uncover patterns, trends, and actionable opportunities
• Partner on hypothesis design and A/B test setup
• Interpret A/B tests confidently, including metric selection, trade-off analysis, and recommendations for next steps
• Improve how we measure and learn from product changes and launches
• Drive consistent metric definitions and OKR alignment across teams
• Help teams agree on what good looks like and prevent shifting targets
• Maintain clarity and a single source of truth in dashboards and reporting
• Identify required data and work with Data Platform and Engineering to make it accessible
• Prepare and model data to support reliable analysis and self-service usage
• Help shape tracking and instrumentation for upcoming features
• Build dashboards and visualizations that clarify trends and decisions
• Communicate findings clearly to a wide range of audiences
• Guide stakeholders to become more self-sufficient with data