Lead Advanced Analyst, Consumer Product

• Work with large, complex data sets to solve a wide range of problems using varied analytical and statistical approaches.
• Apply quantitative analysis, experimentation, data mining, and forecasting to find trends and patterns that guide decisions.
• Collaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, Analytics, Data and Analytical Engineering, Capacity Planning, and other teams to deliver actionable insights.
• Design, run, and analyze experiments to measure feature impact and guide product iterations, using causal methods when randomized trials aren’t available.
• Design and build metrics and dimensions to monitor product and business performance.
• Build reporting and analytical tools that help stakeholders make data-driven decisions.
• Present findings and recommendations clearly and concisely to stakeholders, including senior leadership.
• Stay current on industry trends and new quantitative and qualitative analysis techniques.
• Use AI tools to automate repetitive tasks and empower stakeholders.

Required

• 6+ years of industry experience and a degree in a quantitative field such as Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, or Operations Research.
• Prior experience in an advanced analytics or product data science role.
• Strong business acumen and strategic thinking, with the ability to do rigorous analysis and make sound judgments.
• Excellent communication skills, including explaining complex concepts in accessible terms to varied audiences.
• Proven stakeholder management skills and the ability to collaborate and influence across functions.
• Experience partnering with product teams on analytics, data science, experimental design, and measurement.
• Experience analyzing A/B experiments and performing statistical data analysis.
• Experience designing and building metrics, from concept through prototypes with data pipelines.
• Strong expertise in Python or R, plus SQL.
• Experience with AI-assisted analytics tools such as Claude or ChatGPT.
• An agile, growth-minded approach, with a track record of taking projects from idea to impact.

Preferred

• Master’s or PhD in a quantitative field.

• Start date: November 17, 2026
• Duration: Approximately 12 months (through November 14, 2027)
• Location: Remote (within the U.S.)
• Work schedule: 40 hours per week, 8 hours per day, 5 days per week
• Pay rate range: $110-$128/hour + benefits

Work Authorization: Must be authorized to work in the U.S. without sponsorship.
Engagement: W-2 Contract