Data Analyst - Everyday Banking
Barcelona · 3+ years experience · Full-time · Remote · Posted Oct 19, 2026
At a glance
- Experience
- 3+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Barcelona
About the role
- We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products.
- As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions.
Responsibilities
- Develop clear and measurable targets based on an initiatives’ scope to improve overall forecasting and goal setting capabilities.
- Be an internal go-to-person for your teams when it comes to data related questions.
- Support Product experimentation & A/B testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights.
- 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.
- Build the dashboards your team looks at every week to make sure they are impacting our company OKRs.
- 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.
- Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.
- Support your team in discovery of new product ideas, identifying user friction points, business opportunities and defining success metrics and targets.
- Collaborate with UX researchers to combine qualitative and quantitative research for better product hypotheses.
- Design, conduct and analyze A/B tests.
Requirements
- Strong understanding of statistical methods used in the analysis of experimental and observational data
- Strong problem solving skills and is comfortable doing exploratory data analysis that generates insights and “so whats”
- Highly experienced with SQL and Python/R for analytics
- Experience working with one or more common data visualisation tools (Tableau, Metabase, Looker, Superset, etc)
- Good presentation skills and communication skills.
- Experience with A/B Testing & Product Analytics
Preferred qualifications
- Having experience with cards y/or payments domains in high growth startups
- Having experience in quantitative research
- Having experience in fintech
- Having experience with AI Analytics
Benefits
- Competitive personal development budget
- Work from home budget
- Discounts to fitness & wellness memberships
- Language apps
- Public transportation
- 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 relocation package with visa support for those who need it
Skills
- SQL
- Python
- R
- Tableau
- Metabase
- Looker
- Superset
