About this role
About the Role
We are seeking a Lead Advanced Analyst to support a consumer-facing mobile app product team. In this role, you will drive strategic business and product decisions through in-depth data analysis, experimentation, statistical modeling, and the development of metrics and reporting tools. You will partner with cross-functional teams and senior leadership to turn complex data into clear, actionable insights.
Key Responsibilities
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Work with large, complex data sets to solve a wide range of problems using varied analytical and statistical approaches.
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Apply quantitative analysis, experimentation, data mining, and forecasting to find trends and patterns that guide decisions.
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Collaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, Analytics, Data and Analytical Engineering, Capacity Planning, and other teams to deliver actionable insights.
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Design, run, and analyze experiments to measure feature impact and guide product iterations, using causal methods when randomized trials aren’t available.
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Design and build metrics and dimensions to monitor product and business performance.
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Build reporting and analytical tools that help stakeholders make data-driven decisions.
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Present findings and recommendations clearly and concisely to stakeholders, including senior leadership.
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Stay current on industry trends and new quantitative and qualitative analysis techniques.
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Use AI tools to automate repetitive tasks and empower stakeholders.
Qualifications
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Required
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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.
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Prior experience in an advanced analytics or product data science role.
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Strong business acumen and strategic thinking, with the ability to do rigorous analysis and make sound judgments.
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Excellent communication skills, including explaining complex concepts in accessible terms to varied audiences.
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Proven stakeholder management skills and the ability to collaborate and influence across functions.
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Experience partnering with product teams on analytics, data science, experimental design, and measurement.
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Experience analyzing A/B experiments and performing statistical data analysis.
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Experience designing and building metrics, from concept through prototypes with data pipelines.
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Strong expertise in Python or R, plus SQL.
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Experience with AI-assisted analytics tools such as Claude or ChatGPT.
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An agile, growth-minded approach, with a track record of taking projects from idea to impact.
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Preferred
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Master’s or PhD in a quantitative field.
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Key Details
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Start date: November 17, 2026
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Duration: Approximately 12 months (through November 14, 2027)
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Location: Remote (within the U.S.)
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Work schedule: 40 hours per week, 8 hours per day, 5 days per week
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Pay rate range: $110-$128/hour + benefits
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Work Authorization: Must be authorized to work in the U.S. without sponsorship.
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Engagement: W-2 Contract