Lead Advanced Analyst, Consumer Product

About the role

Key responsibilities

• Analyze large, complex datasets using varied analytical and statistical approaches.
• Apply quantitative analysis, experimentation, data mining, and forecasting to find patterns and guide decisions.
• Collaborate with Product, Engineering, Finance, Marketing, Operations, Data Science, analytics and data engineering, capacity planning, and other teams.
• Design, run, and analyze experiments to measure feature impact and guide product iterations; use causal methods when randomized trials are unavailable.
• Design and build metrics and dimensions to monitor product and business performance.
• Build reporting and analytical tools for data-driven decisions.
• Present findings and recommendations to stakeholders, including senior leadership.
• Stay current on industry trends and quantitative and qualitative analysis techniques.
• Use AI tools to automate repetitive tasks and empower stakeholders.

Required qualifications

• At least 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 advanced analytics or product data science experience.
• Strong business acumen, strategic thinking, rigorous analysis, sound judgment, and excellent communication.
• Proven stakeholder management skills and 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.
• Agile, growth-minded approach and a record of taking projects from idea to impact.

Preferred qualifications

• A master’s or PhD in a quantitative field is preferred.

Schedule and duration

• Contract is approximately 12 months, from November 17, 2026 through November 14, 2027.
• Schedule is 40 hours per week, 8 hours per day, 5 days per week.

Workplace

• Remote within the United States.

Pay

• Pay rate is USD 110–128 per hour, plus benefits.

Work authorization

• Must be authorized to work in the United States without sponsorship.