Data Analyst

• Own measurement and experimentation for customer activation and retention
• Join activation and retention initiatives from CRM, growth, and product before development begins
• Define primary metrics and assess detectability using historical data
• Design and analyse experiments end to end, including hypotheses, guardrails, audience splits, MDE, power, stopping rules, and readouts
• Correct for channel and engagement bias
• Apply causal inference methods when clean A/B testing is not possible, including diff-in-diff, matching, synthetic control, and geo designs
• Generate and launch experiments across onboarding and the customer lifecycle
• Convert successful one-off experiments into recurring segmented flows
• Build segmentation, propensity, churn, and dormancy scoring models
• Develop next-best-action logic and measure performance against current rules
• Automate audience refresh jobs, readout templates, and Activation, Onboarding, and Retention dashboards
• Ship models through scheduled Databricks jobs and downstream tools such as Braze
• Bring engagement data back into the warehouse to close the loop

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