Senior Data Analyst, Lifecycle

This is a fully remote position, open to applicants in Netherlands.

📋 Description

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

• Participate in activation and retention projects from the planning phase, collaborating across CRM, growth, and product teams.

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

• Transform solution-oriented requests into problem-focused inquiries.

• Design and analyze experiments comprehensively, including formulating hypotheses, setting guardrails, determining audience splits, defining MDE, power, stopping rules, and generating readouts.

• Adjust for channel and engagement biases.

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

• Create hypotheses and initiate experiments throughout onboarding and the customer lifecycle.

• Turn successful experiments into recurring, segmented flows.

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

• Establish next-best-action logic and evaluate performance against existing rules.

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

• Implement Databricks-scheduled jobs that generate tables for downstream tools like Braze.

• Reintegrate engagement data into the data warehouse.

⛳️ Requirements

• Proficient in SQL and Python.

• Familiarity with a Git-based warehouse workflow that includes code review.

• Knowledge of experiment design, statistics, and creating defensible metrics.

• Experience with BI tools such as Power BI, Tableau, or similar platforms.

• Strong stakeholder management skills and business acumen.

• Ability to challenge, reframe requests, and provide recommendations to non-technical audiences.

• Demonstrated curiosity and sense of ownership.

• Understanding of causal inference methods and when to apply each appropriately.

• Experience with clustering and segmentation in production environments.

• Competence in predictive modeling with honest validation.

• Familiarity with uplift modeling is a plus.

• Experience with Braze or a comparable CRM platform is an advantage.

🏝️ Benefits

• Access to continuous personal and professional development resources and opportunities.

• Flexible remote or hybrid work options available throughout Europe.

• Stock Options Program available for every team member.

• Ongoing support and care for employees.

• Work & Swim Program: enjoy a month in a corporate apartment in Cyprus.

• A modern, friendly, and eco-conscious corporate culture.