The Role
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.
Summary Generated by Built In
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
Skills Required
- 6+ years of industry experience 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
- Excellent communication skills and ability to explain complex concepts clearly
- Proven stakeholder management and cross-functional collaboration skills
- 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 through data pipeline implementation
- Strong proficiency in Python or R, plus SQL
- Experience with AI-assisted analytics tools such as Claude or ChatGPT
- Growth-minded, agile approach with a track record of driving projects from idea to impact
- Master's or PhD in a quantitative field
- Authorization to work in the United States without sponsorship
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The Company
What We Do
Maleda Tech is a global contingent workforce solutions provider that offers Employer of Record (EOR) and Managed Service Provider (MSP) services. The company specializes in connecting highly skilled IT professionals from the US and Africa with clients, operating as a minority-owned business enterprise. They focus on building and fixing contingent workforce programs for companies across three continents, leveraging a diverse, global talent pool to meet technical staffing needs.
