Practicebetter is looking for a Senior Insights Analyst - Product Analytics to be a strategic partner to our product managers. In this role, you will support data-driven decisions about feature development and user engagement by owning product insights end-to-end: driving experimentation, quantifying impact, and ensuring every feature delivers meaningful value.

What You'll Do

Define and evolve product success metrics, ensuring clear measurement of business and user outcomes.
Analyze product and feature performance across the full user lifecycle (activation, engagement, retention, monetization) and proactively identify high-impact improvement opportunities.
Identify friction points and behavioral drivers within user journeys and funnels to influence product prioritization.
Define analytics and instrumentation requirements for new features from discovery through launch, ensuring measurability from day one.
Own data integrity and scalability of analytics foundations, acting as a guardian of reliable, trusted product data.
Design and evaluate product experiments, defining success metrics and guardrails within a structured experimentation framework.
Translate complex data into clear insights, visuals, and narratives that directly inform product and business decisions.
Act as a trusted strategic partner to Product, Design, and Engineering, proactively surfacing insights that shape the roadmap.
Align cross-functional teams on how success is measured, especially when metrics are interpreted differently.
Communicate insights clearly to senior stakeholders, enabling confident, data-informed decision-making.

What We're Looking For

BA/MSc in Computer Science, Math, Statistics, Economics, or other quantitative fields.
5+ years of experience with SQL and experience querying and interpreting large databases.
Experience with data visualization tools (e.g. Tableau, PowerBI).
Strong experience with experimentation and AB testing, expected understanding of statistical significance, power analysis and how to interpret “noisy” data.
Experience with programming language and advanced analytics (Python, Cloud Data Warehouses).
Prior experience in high-volume user platforms.
Demonstrated experience establishing analytics frameworks for new product features in a product-led environment.
Ability to connect data insights into actionable recommendations for game & product business stakeholders.
Proven ability to translate business problems into technical solutions, develop better ways to measure performance and effectively communicate data and recommendations to stakeholders.