Data Analytics Manager – Financial Empowerment

We are seeking an experienced and strategic Analytics Manager to lead the Financial Empowerment domain at N26, a leading FinTech company. The Analytics Manager will own the analytics strategy and execution for the Product & Business Segments within the respective domain, fostering a strong data culture and enabling teams to deliver measurable business impact.

Requirements

• 5+ years of experience as an individual contributor in analytics or a related field
• 1+ year of experience managing people, leading a team of 3–4 data analysts
• Proven track record of driving business impact through data
• Causal inference & impact measurement: Deep expertise in methods (uplift modeling, quasi-experiments, counterfactuals) to measure true business impact beyond surface metrics
• Experimentation: Strong track record designing and scaling A/B, multivariate, and observational analyses when experimentation isn’t feasible
• Strategic problem-solving: Ability to structure ambiguous business problems into rigorous analytical frameworks that inform product and growth strategy
• Analytics & Engineering: High proficiency in SQL and Python/R for analysis, experimentation, and modeling
• LLM & self-serve analytics: Experience leveraging LLMs and conversational interfaces to enable scalable, self-serve analytics
• Data storytelling: Communicates complex insights clearly using modern BI tools (Tableau, Looker, Metabase, Superset)
• Stakeholder influence: Confident communicator with a fluent command of English, who challenges assumptions, aligns cross-functional teams, and drives data-informed decisions

Benefits

• Competitive personal development budget
• Work from home budget
• Discounts to fitness & wellness memberships, language apps and public transportation
• Premium subscription on personal N26 bank account
• Subscriptions for friends and family members
• High degree of autonomy and access to cutting edge technologies
• Relocation package with visa support
• Equal opportunities for all

Tagged as: Data Analysis