Translate complex datasets into clear insights with strategic recommendations that drive measurable actions and outcomes to inform product direction and business priorities
Partner with Product, Engineering, Operations teams, and Executives to define KPIs and lead the analytics strategy for key product areas, including causal inference, cohort analysis, retention modeling, and experimentation design
Develop forecasts for ARR, conversion, churn, and usage using economic and behavioral data
Collaborate with data engineering, analytics, and product to shape best practices in experimentation, forecasting, and decision support
Help build and evolve our analytical foundation, including event instrumentation, metric frameworks, and scalable self-serve analytics tools
Mentor other analysts and raise the bar for data storytelling, analytical rigor, and stakeholder influence across the org

Requirements

6+ years of experience in data science, applied economics, or a related field, ideally in high-growth tech environments
Proven ability to identify and measure causal business impacts using appropriate statistical techniques, especially in complex or observational settings
Strong statistical modeling skills (time-series, forecasting, survival analysis, Bayesian inference)
Fluency in Python or R and SQL; experience with large-scale data systems
Exceptional verbal and written communication skills – ability to distill complex findings from models and economic reasoning into compelling insights for technical and non-technical audiences
Demonstrated success influencing product, go-to-market, or commercial decisions with quantitative insights.

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

data scienceapplied economicsstatistical modelingtime-series analysisforecastingsurvival analysisBayesian inferencePythonRSQL

Soft Skills

communicationdata storytellinganalytical rigorstakeholder influencementoring