Own problems end-to-end from ambiguous business questions to stable technical solutions
Act as a technical architect and strategic thought partner
Partner with senior stakeholders to define success metrics
Design technical approach and build production-ready data systems
Translate business needs into well-modeled data foundations
Lead A/B test design, statistical evaluation, and causal analysis
Translate complex analytical findings into clear, actionable recommendations
Establish modeling, documentation, and data quality standards

Requirements

5+ years in analytics engineering, product analytics, or data science roles
Advanced SQL proficiency (complex transformations, performance optimization, modeling)
Strong Python skills (pandas, statistical modeling, experimentation workflows, ML libraries)
Experience building production-ready data models using dbt or similar tools
Experience working with modern cloud data stacks (Azure or Google Cloud preferred)
Deep understanding of experimentation design, causal inference, churn, and conversion analysis
Strong documentation practices and commitment to data quality
Exceptional communication skills; able to clearly explain technical findings to C-suite and senior director–level stakeholders
Ability to operate independently and drive initiatives without heavy oversight.

Benefits

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonpandasstatistical modelingdbtcloud data stacksexperimentation designcausal inferencechurn analysisconversion analysis

Soft Skills

communication skillsindependent operationinitiative drivingstakeholder engagementdocumentation practicesdata quality commitmentanalytical translationproblem-solvingstrategic thinkingleadership