Transform complex product and customer data into actionable insights that inform roadmap prioritization and product strategy.
Partner with cross-functional teams to evaluate feature performance, identify opportunities, and drive measurable improvements in customer engagement.
Design, execute, and analyze A/B tests, translating results into clear recommendations that shape future product development.
Build and enhance scalable reporting frameworks to monitor product health, customer behavior, and key performance metrics.
Conduct deep-dive analyses on customer journeys and product experiences to uncover trends and inspire new ways of thinking.
Define data requirements and collaborate with Data Engineering partners to ensure reliable, high-quality datasets.

Requirements

A Bachelor’s Degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related quantitative field.
At least 2 years of experience in analytics or data science.
Proficiency in SQL and experience working with data visualization tools such as Tableau; familiarity with Python or R is a plus.
Strong understanding of statistics and hypothesis testing, with experience designing and analyzing experiments.
Ability to translate complex analyses into clear, compelling insights for cross-functional stakeholders.
Curiosity and a problem-solving mindset, with a desire to learn a complex and evolving business.
Comfort working in a fast-paced environment and collaborating across teams to drive impact.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

SQLdata visualizationA/B testingstatisticshypothesis testingdata analysisdata sciencereporting frameworkscustomer behavior analysisproduct strategy

Soft Skills

problem-solvingcuriositycommunicationcollaborationanalytical thinkingstakeholder engagementadaptabilitycritical thinkinginsight generationteamwork