Senior Data Analyst - Grow & Engage

Senior Data Analyst - Grow & Engage

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 world’s 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.

This is a hybrid role based in Barcelona or Berlin.

About the opportunity

As a Senior Data Analyst, you will enable our Product & Business Segments (Acquire, Memberships, and Engagement) in the Growth and Engage domain to make causally sound, evidence-based decisions. You will be responsible for ensuring initiatives are evaluated using robust experimental and causal inference approaches, with a clear focus on incremental impact and counterfactual outcomes, rather than surface-level metrics. You will establish a strong data mindset and foster a culture of continuous learning and improvement, working cross-functionally with analysts, engineers, designers, and product managers.

In this role, you will:

• 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.
• Support some of the following product & business team initiatives (not limited to): 
• You support your team in discovery of new product ideas, identifying user friction points and business opportunities.
• Evaluate your teams’ continuous releases making sure they are delivering on business goals via experimental or observational methods.
• Collaborate with UX researchers to combine qualitative and quantitative research for better product hypotheses.
• During product development you make sure all data needed for future evaluation is being captured through set up of tracking events or as part of the backend service.
• Drive the quantitative analysis on your segment, being responsible for the insights and business discovery on the team.

What you need to be successful:

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 wi