Job description

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 • 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. Qualifications 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. Key Details • 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

Requirements

Must-haves

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.
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.

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlagile

Platform: breezy
Effort: medium