Data Analyst – Fraud & Financial Crime at N26

✨ The Stack take on this N26 job

• 🏢 N26 has 139 jobs here, 136 with visa sponsorship see all
• 🛂 Visa: EU Blue Card. Minimum salary: €50,700 a year guide
• 💡 No salary shown. Ask N26 if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Define clear, measurable goals and forecasts for product initiatives within the Customer Risk Lifecycle (CRL) and AFC Operations.
- Design, run and analyse experiments and observational studies to evaluate product changes and fraud/financial-crime controls.
- Be the primary analytics point-of-contact for product, design and operations stakeholders; translate questions into analysis plans.
- Build and maintain dashboards and monitoring tools that track OKRs and team-level metrics.
- Improve analytics foundations by collaborating with engineers to instrument tracking and make data self-serve.
- Run knowledge-sharing sessions and workshops to raise data literacy across the organisation.
- Contribute to cross-functional analytics community: document results and share learnings broadly.

Requirements:
- 3+ years in product or analytics roles with hands-on experimentation and causal inference experience.
- Strong statistical background and familiarity with experimental design and quantitative research methods.
- Proficient in SQL and at least one scripting language (Python or R); able to run end-to-end analyses and read code.
- Experience with data visualization tools (e.g., Tableau, Metabase, Looker, Superset) and dashboarding best practices.
- Excellent stakeholder communication, able to present insights clearly and empathetically to technical and non-technical audiences.
- Comfortable working in cross-functional teams and in a hybrid Berlin office environment.

Responsibilities

You will enable data-driven decision-making by designing experiments, evaluating product initiatives, and providing actionable insights. Additionally, you will contribute to the analytics platform and improve data literacy across the organization through training and workshops.

Requirements

The role requires 3+ years of experience in product or analytics with a strong background in statistical methods and experimental design. Proficiency in SQL, Python or R, and experience with data visualization tools are essential for success.

Key skills

• Causal inference — in 18 other listings on The Stack
• Experimentation — in 50 other listings on The Stack
• Statistical research — not in any other listing on The Stack
• SQL — in 545 other listings on The Stack
• Python — in 1200 other listings on The Stack
• R — in 45 other listings on The Stack
• Tableau — in 65 other listings on The Stack
• Metabase — in 22 other listings on The Stack
• Looker
• Superset
• Data visualization
• Product analytics
• Quantitative research
• Communication skills
• Presentation skills
• Data literacy

On The Stack (as of 2026-11-05)

• N26 has 138 other listings on The Stack, 135 of them marked as offering visa sponsorship.
• 166 visa-sponsored jobs in Germany on The Stack, posted in the last 60 days.
• 24 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 – Fraud & Financial Crime role still open?

It was posted on 2026-08-06. Listings more than 30 days old may no longer be active, so check N26's site 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 Germany. It is marked on-site.

What skills does this role ask for?

The listing names: Causal inference, Experimentation, Statistical research, SQL, Python, R, Tableau, Metabase, Looker, Superset, Data visualization, Product analytics, Quantitative research, Communication skills, Presentation skills, Data literacy.