Senior Data Analyst

What You'll Do

Shape Product Strategy

Partner with Product Managers, Engineers, and Designers to answer the questions that matter most. You'll uncover behavioral insights, identify opportunities for growth, and influence the decisions that shape our product roadmap.

Own the Metrics That Matter

Take end-to-end ownership of your product domain's metrics. You'll define and evolve KPIs, ensure data accuracy, and help teams make confident, data-driven decisions they can trust.

Drive Experimentation

Design and analyze experiments from hypothesis to recommendation. You'll partner with cross-functional teams to define success metrics, evaluate A/B tests, and distinguish meaningful product impact from statistical noise.

Build Decision-Making Infrastructure

Create dashboards and self-service reporting that teams rely on every day, while delivering deeper analyses that go beyond the numbers. Your work will make it easier for Product, Engineering, and leadership to understand what's happening, why it's happening, and what to do next.

Leverage AI to Increase Impact

Use AI throughout your workflow to accelerate SQL development, automate repetitive analysis, improve documentation, and explore data more efficiently. You'll combine AI with strong analytical judgment to ensure every insight is accurate, reliable, and actionable.

Raise the Bar for Analytics

Contribute to the way the team works by sharing reusable code, AI prompts, documentation, and best practices. You'll help build a scalable analytics culture where knowledge is shared and everyone moves faster together.

Who You Are

• You have 4+ years of experience in Product Analytics, Data Science, or a similar analytical role.
• You enjoy partnering with Product Managers, Engineers, and Designers to solve complex product problems and influence decisions with data.
• You're comfortable working through ambiguity, turning broad business questions into structured analyses and clear recommendations.
• You take ownership of the metrics you own, ensuring they're accurate, actionable, and trusted across the organization.
• You have hands-on experience with experimentation, including A/B testing and cohort analysis, and understand how to distinguish meaningful insights from statistical noise.
• You build dashboards and reports that help teams monitor performance, answer everyday questions, and make better decisions.
• You're proficient in SQL and Tableau.
• You use modern AI tools to accelerate your work, while applying strong analytical judgment to validate results and ensure quality.

Nice to Have

• Experience working in a fast-growing technology company, ideally with a consumer-facing product.
• Experience using Git and VS Code in a collaborative analytics or engineering environment.
• Strong foundation in statistics, including experimentation, causal inference, or data modeling.
• Experience contributing to data infrastructure, shared analytics repositories, or reusable analytics tooling.
  
  
  

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