Lead Advanced Analyst, Consumer Product

Maleda Tech

3d•$110 - $128•Remote

About The Position

We are seeking a Lead Advanced Analyst to support a consumer-facing mobile app product team. The role drives strategic business and product decisions through in-depth data analysis, experimentation, statistical modeling, and the development of metrics and reporting tools. The analyst partners with cross-functional teams and senior leadership to turn complex data into clear, actionable insights. This is a remote, U.S.-based W-2 contract engagement expected to last approximately 12 months, from November 17, 2026, through November 14, 2027. The schedule is 40 hours per week, eight hours per day, five days per week. The pay rate is $110–$128 per hour, plus benefits. Applicants must be authorized to work in the U.S. without sponsorship.

Requirements

At least 6 years of industry experience.
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 conduct rigorous analysis and make sound judgments.
Excellent communication skills, including the ability to explain complex concepts accessibly 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 and a track record of taking projects from idea to impact.
Must be authorized to work in the U.S. without sponsorship.

Nice To Haves

Master’s or PhD in a quantitative field.

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 identify 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 are unavailable.
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.