Who we are
We are seeking an organised and self-motivated Senior Data Analyst to work embedded in our Grow & Engage domain, one of our cross-functional areas shaping the development of one of the worlds leading FinTech products. In this role, you will lead, mentor, and coach other analysts, fostering a culture of collaboration, continuous learning, and causal, impact-focused decision making across the team.
Your tasks
- Help us set the right goals: Develop clear and measurable targets based on an initiatives scope.
- Be a strategic partner for Senior Leadership: Driving end to end high complexity analysis on a strategic level in which the business domain is critical to drive overall company success.
- Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions.
- Evaluate initiatives: Support Product experimentation & testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication.
- Contribute to self-serve data platform: Help building the right analytics foundations, by pairing up with technical peers, so our product and business teams can interact with data and extract the right insights themselves.
- Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.
- Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture.
- Be part of our data-community: Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
- Lead, mentor, and coach other analysts, fostering a collaborative and growth-oriented team environment.
Your profile
Background
- 4+ years of relevant experience, ideally within the Product or Analytics field.
Skills
- Advanced causal inference & incremental impact measurement: Strong experience applying causal inference techniques (e.g. uplift modeling, quasi-experimental methods, counterfactual analysis) to measure true business impact beyond surface-level metrics.
- Experimentation & evaluation at scale: Proven ability to design, execute, and evaluate experiments (A/B, multivariate) as well as observational analyses when experimentation is not feasible.
- Strategic analytical problem-solving: Ability to translate ambiguous business questions into robust analytical frameworks that inform product and growth strategy.
- Analytics engineering & analysis: Highly proficient in SQL and Python/R for data analysis, experimentation analysis, and modeling.
- Data visualization & storytelling: Experience with modern BI tools (Tableau, Metabase, Looker, Superset, etc.) and strong capability to communicate insights clearly to senior stakeholders.
- Stakeholder & influence skills: Confident communicator with the ability to challenge assumptions, align cross-functional teams, and drive data-informed decisions.
Nice to have
- Experience in high-growth environments (acquisition, engagement, subscriptions).
- Experience in fintech or regulated environments.
We offer
- Accelerate your career growth by joining one of Europe's most talked about disruptors.
- Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
- Come together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time.
- As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members.
- Additional day of annual leave for each year of service.
- A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.