Sr. Product Data Analyst

Fully Remote

Pay: $35 - $45 hr

We are looking for a Senior Product Data Analyst to join a fast-growing fintech organization. In this role, you’ll own analytics for key product experiences and work closely with Product, Engineering, and senior leadership to turn data into actionable product decisions.

This is a highly proactive role. You’ll be expected to identify opportunities, uncover data gaps, challenge existing metrics, and conduct deep dives that directly influence product strategy and roadmaps.

• Own the analytics strategy for assigned product areas and identify opportunities to improve products through data.
• Partner closely with Product and Engineering teams throughout planning, launches, and product reviews.
• Define success metrics, guardrail metrics, OKRs, and measurement strategies.
• Conduct deep-dive analyses that help influence product strategy and roadmap decisions.
• Design and analyze experiments using causal inference and experimentation methodologies.
• Build and maintain production-grade data models using dbt, including testing and documentation.
• Use AI-assisted and agentic coding tools to improve analytics workflows and automate repetitive tasks.
• Automate recurring reporting and develop scalable self-service analytics.
• Build and drive executive-level reporting.
• Partner with Data Engineering to validate data quality and maintain accurate metric definitions.
• Present insights and recommendations confidently to senior stakeholders.

• 5+ years of experience in Product Analytics, Data Science, or a related quantitative field.
• Advanced SQL skills.
• Hands‑on production experience with dbt or a similar data transformation/modeling tool.
• Experience building data models, tests, documentation, and working within version‑controlled environments.
• Strong experience with experimentation and causal inference.
• Hands‑on experience using AI‑assisted or agentic coding tools in your workflow.
• Ability to take ambiguous business or product questions and turn them into measurable analytical frameworks.
• Strong product mindset with experience proactively identifying problems and opportunities.
• Excellent data storytelling and presentation skills with the ability to turn complex findings into clear product recommendations.