Senior Data Analyst 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 Fin Tech 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.

N26 has reimagined banking for today's digital world. Technology and design empower everything we do and it's how we are building the global banking platform the world loves to use.

We've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.

We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.

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 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…