Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.
About the Role
We're looking for a Lead Advanced Analyst to support a fast-moving consumer product team. This role sits at the intersection of data, product, and strategy - using rigorous analysis, experimentation, and statistical modeling to shape decisions that directly impact the product experience. You'll work closely with Product, Engineering, Finance, Marketing, Operations, and Data Science teams to turn complex data into clear, actionable direction, and you'll have real influence over how the product evolves.
Key Responsibilities- Work with large, complex data sets to solve challenging analytical problems using a range of statistical and quantitative methods
- Apply quantitative analysis, experimentation, data mining, and forecasting to identify trends that inform product and business decisions
- Collaborate cross-functionally with Product, Engineering, Finance, Marketing, Operations, Data Science, and Analytics Engineering teams to deliver actionable insights
- Design, execute, and analyze experiments to measure feature impact, using causal inference methods when randomized trials aren't feasible
- Design and build metrics and dimensions to monitor product and business performance
- Build reporting and analytical tools that enable stakeholders to make data-driven decisions
- Present findings and recommendations clearly to stakeholders, including senior leadership
- Stay current on industry trends and advancements in quantitative and qualitative analysis techniques
- Use AI tools to automate repetitive analytical work and support stakeholder self-service
- 6+ years of industry experience in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or similar); Master's or PhD a plus
- Prior experience in an advanced analytics or product data science role
- Strong business acumen and strategic thinking, with the ability to conduct rigorous analysis and make sound judgment calls
- Excellent communication skills, able to explain complex concepts clearly to a range of audiences
- Proven stakeholder management skills, with the ability to collaborate and influence across functions
- Experience partnering directly with product teams on analytics strategy, experimental design, and measurement
- Experience analyzing A/B experiments and statistical data
- Experience designing and building metrics, from concept through data pipeline implementation
- Strong proficiency in Python or R, plus SQL
- Experience with AI-assisted analytics tools (e.g., Claude, ChatGPT)
- A growth-minded, agile approach with a track record of driving projects from idea to impact
- Start Date: September 15, 2026
- Duration: Through March, 2027
- Location: Remote (within the US)
- Work Schedule: Full-time, 40 hours/week (8 hours/day, 5 days/week)
- Pay Rate: $115-$128/hour + benefits (Medical, Dental, Vision, 401K)
- Positions Available: 1
- Engagement: Contract role through Maleda Tech
- Work Authorization: Must be authorized to work in the U.S. without sponsorship
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Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
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