Partner with Product, Data Science, and Commercial teams to define and monitor key product metrics.
Analyze user behavior and feature performance to identify trends, opportunities, and areas for improvement.
Design and execute A/B tests around product releases and new feature rollouts to validate hypotheses and measure impact.
Conduct ad-hoc and ongoing analyses of marketing channels and campaigns to support strategic decision-making.
Build and maintain dashboards and visualizations in Power BI and Fabric to communicate insights effectively.
Translate complex data into clear, actionable recommendations for stakeholders across the business.
Ensure data quality, accuracy, and consistency across analytics and reporting.

Requirements

Proficiency with SQL, Microsoft Fabric, Power BI, Statsig, Python, and Bitbucket.
Strong skills in data visualization and dashboard design.
Solid statistical foundation, including hypothesis testing, regression, and experimental design.
Hands-on experience designing, running, and interpreting A/B tests and other product experiments.
Excellent stakeholder management and communication skills—able to convey analytical findings clearly and effectively.
Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, or related discipline).
Experience in Business Intelligence, Product Analytics, or Digital Analytics roles (preferred).
Familiarity with marketing performance analysis and campaign attribution (preferred).

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Work From Home
Opportunity to collaborate across Product, Data Science, and Business Intelligence teams
A culture that values curiosity, evidence-based decision-making, and continuous learning

Applicant Tracking System Keywords

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

SQLPythonA/B testinghypothesis testingregressionexperimental designdata visualizationdashboard designdata qualitydata analysis

stakeholder managementcommunication