Data Analyst - Everyday Banking at N26

About the role

Responsibilities:
- Partner with Everyday Banking product teams (Cards, Payments) to set clear, measurable goals and OKRs.
- Design, run and analyze A/B tests and observational analyses to evaluate initiatives and surface actionable insights.
- Build and maintain dashboards and monitoring tools used weekly to track product performance and forecasting.
- Contribute to self-serve analytics foundations by collaborating with engineers and analytics teams to improve data models, tracking, and access.
- Drive data literacy: run trainings, workshops and write clear documentation to help teams interpret and act on data.
- Support product discovery by identifying friction points, defining success metrics, and combining qualitative and quantitative findings.
- Communicate results concisely to stakeholders and act as the team’s go-to data partner.

Requirements:
- 3+ years of professional experience in product or analytics roles.
- Strong SQL and experience with Python or R for analysis.
- Hands-on experience with experimentation (A/B testing), statistical methods and experimental design.
- Familiarity with BI/visualization tools (Tableau, Metabase, Looker, Superset) and dashboarding best practices.
- Ability to translate business questions into measurable metrics and tests; experience setting targets and forecasting.
- Strong stakeholder management, written communication, and collaboration skills in cross-functional teams.

Responsibilities

The Data Analyst will support product teams by designing experiments, analyzing performance metrics, and driving data-driven decision-making. They will also build dashboards, educate teams on data literacy, and contribute to the development of self-serve analytics platforms.

Requirements

Candidates should have 3+ years of experience in product or analytics roles with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, A/B testing, and data visualization tools is essential for success in this role.

Key skills

• Data analysis — in 244 other listings on The Stack
• SQL — in 484 other listings on The Stack
• Python — in 1070 other listings on The Stack
• R — in 41 other listings on The Stack
• Tableau — in 57 other listings on The Stack
• Metabase — in 22 other listings on The Stack
• Looker — in 39 other listings on The Stack
• Superset — in 18 other listings on The Stack
• A/B testing
• Statistical methods
• Product analytics
• Data visualization
• Forecasting
• Experimental design
• Data literacy
• Stakeholder management

On The Stack (as of 2026-10-22)

• N26 has 133 other listings on The Stack, 130 of them marked as offering visa sponsorship.
• 70 visa-sponsored jobs in Spain on The Stack, posted in the last 60 days.
• 19 visa-sponsored data analyst jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about N26

Is this Data Analyst - Everyday Banking role still open?

It was posted on 2026-10-19 and is listed as active on The Stack. Confirm on N26's application page before applying.

Does N26 offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on N26's site.

Where is this role located?

The listing gives the location as Spain. It is marked on-site.

What skills does this role ask for?

The listing names: Data analysis, SQL, Python, R, Tableau, Metabase, Looker, Superset, A/B testing, Statistical methods, Product analytics, Data visualization, Forecasting, Experimental design, Data literacy, Stakeholder management.