- Build and improve scoring models to identify high-potential leads, customers, and commercial opportunities (lead scoring, activation prediction, churn risk, expansion potential, customer segmentation, opportunity prioritisation).
- Help Growth, Sales, and Marketing focus their effort where it is most likely to create value.
- Analyze customer, marketplace, CRM, marketing, and commercial data to identify patterns explaining wins, underperformance, and next steps.
- Turn messy data into clear recommendations, not just dashboards.
- Help Growth and Product teams design better experiments, define success metrics, interpret results, and understand uncertainty.
- Work with imperfect real-world data, including low sample sizes, noisy attribution, weak instrumentation, and unclear funnel definitions.
- Write strong SQL and Python, work with data in Snowflake, create reproducible datasets, and build lightweight workflows.
- Drive action by influencing decisions such as sales prioritisation, lifecycle targeting, customer segmentation, and growth strategy.
PythonSQLSalesforce+3 more