# Data analyst - Customer Risk Lifecycle at N26

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Partner with the Customer Risk Lifecycle

- **Company:** N26 (https://jobs.trythestack.co/companies/n26)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, R, Tableau, Metabase, Looker, Superset, Statistical Analysis, Data Visualization, Quantitative Research, Experimental Design, Stakeholder Management, Forecasting, Product Analytics, Data Literacy, Communication Skills
- **Posted by employer:** 2026-07-03
- **Added to The Stack:** 2026-07-04
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://n26.com/en-eu/careers/positions/8025909?gh_jid=8025909 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-analyst-customer-risk-lifecycle-n26

## About the role

Responsibilities:
- Partner with the Customer Risk Lifecycle (CRL) and AFC Operations teams to enable data-driven decisions across product and operations.
- Define clear, measurable goals and improve forecasting and goal-setting processes for initiatives.
- Design, run and analyse experiments (A/B tests and observational studies); produce concise, actionable insights and recommendations.
- Build and maintain monitoring dashboards and weekly reporting to track impact against OKRs and KPIs.
- Improve analytics foundations and self-serve capabilities by working with engineers to ensure reliable data models and event tracking.
- Support product discovery and development by combining quantitative analysis with qualitative research to identify user friction and business opportunities.
- Educate and upskill teams through documentation, workshops and ad-hoc coaching to raise data literacy.
- Collaborate across the analytics community to share best practices, tools and reusable metrics.

Requirements:
- 3+ years experience in product analytics, data analytics or related roles.
- Strong SQL skills and practical experience in Python or R for data analysis.
- Experience with data visualization tools (Tableau, Looker, Metabase, Superset) and building dashboards for stakeholders.
- Solid understanding of statistical methods for experiments, A/B testing, and causal inference.
- Familiarity with tracking and instrumentation best practices to ensure event and metric quality.
- Strong communication and stakeholder management skills; able to translate analysis into clear business actions.
- Comfortable working cross-functionally in agile teams and driving initiatives end-to-end.
- Fintech, fraud or Anti-Financial Crime (AFC) experience is a strong plus.

## Responsibilities

The Data Analyst will enable data-driven decision-making for the Customer Risk Lifecycle team by monitoring product initiatives and establishing a data-driven culture. Key tasks include developing measurable targets, building dashboards, and collaborating with cross-functional teams to optimize product performance.

## Requirements

Candidates need 3+ years of experience in Product or Analytics with strong proficiency in SQL, Python/R, and data visualization tools. Experience in fintech, fraud, or AFC (Anti-Financial Crime) is considered a significant advantage.

## FAQ

- **Is this Data analyst - Customer Risk Lifecycle role still open?** It was posted on 2026-07-03. 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: SQL, Python, R, Tableau, Metabase, Looker, Superset, Statistical Analysis, Data Visualization, Quantitative Research, Experimental Design, Stakeholder Management, Forecasting, Product Analytics, Data Literacy, Communication Skills.

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## Notes for agents

- Apply on the employer's page (https://n26.com/en-eu/careers/positions/8025909?gh_jid=8025909). The Stack does not take applications.
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