IT Senior Data Analyst

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. This is a hybrid role based in Barcelona or Berlin.
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 establish a strong data mindset and foster a culture of continuous learning and improvement, working cross‑functionally with analysts, engineers, designers, and product managers.
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.
Be an internal go‑to‑person for your teams when it comes to data related questions.
Support Product experimentation & testing initiatives; design test plans, obtain cross‑functional alignment, execute robust analysis, and deliver actionable insights. Contribute to self‑serve data platform: Help build 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: 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 a data‑driven culture.
Be part of our data‑community: 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 setup 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.

Strong experience applying causal inference techniques (e.g. uplift modeling, quasi‑experimental methods, counterfactual analysis) to measure true business impact beyond surface‑level metrics.
Proven ability to design, execute, and evaluate experiments (A/B, multivariate) as well as observational analyses when experimentation is not feasible. 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.
Confident communicator with the ability to challenge assumptions, align cross‑functional teams, and drive data‑informed decisions.
What’s in it for you:
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. Some roles may require additional in‑office presence.
As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. A relocation package with visa support for those who need it.
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.