Analyze consumer metrics (LTV, CAC, churn, cohorts) using SQL and stats.
Build forecasting models for subscriber growth and revenue.
Create dashboards to track KPIs for acquisition, retention, engagement.
Research market and pricing; assess elasticity and promotions.
Collaborate with marketing/product/sales to apply insights, including A/B testing.
Identify data gaps and work with engineering to improve data collection.

🎯 Requirements

Bachelor's degree in a relevant field.
2+ years in business analytics, consulting, or growth ops.
1+ years SQL and dashboards (Tableau/Power BI/Looker).
Advanced SQL skills (joins, window functions, optimization).
Experience with forecasting using LTV/CAC or pricing analysis.
Statistical modeling and forecasting (time-series, Python or R).

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