Senior Data Analyst, Lifecycle

This is a fully remote position, open to applicants in Germany, +4 more countries.

📋 Description

• Take charge of measurement and experimentation focused on customer activation and retention.

• Collaborate on activation and retention strategies from CRM, growth, and product teams prior to development commencement.

• Establish key metrics and evaluate detectability using historical data analysis.

• Design and conduct comprehensive experiments, including formulating hypotheses, setting guardrails, determining audience splits, minimum detectable effects (MDE), power analyses, stopping rules, and readouts.

• Adjust for biases related to channel and engagement.

• Utilize causal inference techniques when traditional A/B testing is not feasible, encompassing methods such as difference-in-differences, matching, synthetic control, and geographical designs.

• Create and implement experiments throughout the onboarding process and customer lifecycle.

• Transform successful standalone experiments into ongoing segmented workflows.

• Develop models for segmentation, propensity, churn, and dormancy scoring.

• Formulate next-best-action strategies and evaluate performance against existing rules.

• Automate tasks related to audience refresh, readout templates, and dashboards for Activation, Onboarding, and Retention.

• Deploy models via scheduled Databricks jobs and other downstream tools like Braze.

• Integrate engagement data back into the warehouse to complete the feedback loop.

⛳️ Requirements

• Proficient in SQL and Python.

• Experience with Git-based workflows, including code reviews.

• Knowledge of experiment design, statistics, and robust metric formulation.

• Business Intelligence experience utilizing Power BI, Tableau, or similar tools.

• Strong stakeholder management skills and business acumen.

• Demonstrated curiosity and a sense of ownership.

• Familiarity with causal inference methods and the contexts in which they are applicable (preferred).

• Experience with clustering and segmentation in a production setting (preferred).

• Competence in predictive modeling with reliable validation; uplift modeling is a bonus (preferred).

• Experience with Braze or a comparable CRM platform (preferred).

🏝️ Benefits

• Ongoing personal and professional development resources and opportunities.

• Flexible work arrangements, including remote or hybrid options across Europe.

• Stock Options Program available for all team members.

• Consistent support and care for employees.

• A modern, friendly, and environmentally conscious corporate culture.

• Work & Swim Program: an opportunity to spend one month in a corporate apartment in Cyprus.