Data Analyst - Investments at N26

At a glance

Company
N26
Location
Spain
Work arrangement
On-site
Employment type
Full-time
Experience
2–5 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

Apply for this role at N26

About the role

Responsibilities:
- Enable data-driven decisions for the Investments product by defining success metrics and building tracking frameworks.
- Design and analyze experiments and causal-inference studies to measure product impact on customer and business outcomes.
- Build and maintain dashboards and monitoring tools to track performance against OKRs and roadmap targets.
- Collaborate with product, engineering, UX and research to ensure required data is captured and to combine qualitative and quantitative insights.
- Contribute to self-serve analytics capabilities and educate teams through documentation, trainings and workshops.
- Translate stakeholder requests into clear problems, prioritize initiatives, and deliver concise, actionable insights.

Requirements:
- 3+ years of product or analytics experience, with at least 1 year in investments/wealth or related financial domain preferred.
- Strong SQL and experience in Python or R for analysis and modeling.
- Practical knowledge of experimentation, causal inference methods and statistical testing.
- Experience with BI/visualization tools (Tableau, Looker, Metabase, Superset) and dashboard best practices.
- Excellent communication and stakeholder management skills; able to present results clearly to technical and non-technical audiences.

Responsibilities

You will enable data-driven decision-making within the Investments team by analyzing product initiatives and measuring their impact on business outcomes. Additionally, you will build self-serve data platforms and dashboards while fostering a data-driven culture through team education and workshops.

Requirements

The role requires 3+ years of experience in product or analytics, with at least 1 year specifically in the investments or wealth domain. Candidates must possess strong proficiency in SQL, Python/R, and statistical methods, including causal inference and experimentation.

Key skills

  • 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
  • Statistical methods — in 8 other listings on The Stack
  • Causal inference
  • Experimental design
  • AB testing
  • Data visualization
  • Exploratory data analysis
  • Product analytics
  • Data literacy
  • Communication

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

Frequently asked questions about N26

Is this Data Analyst - Investments 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: SQL, Python, R, Tableau, Metabase, Looker, Superset, Statistical methods, Causal inference, Experimental design, AB testing, Data visualization, Exploratory data analysis, Product analytics, Data literacy, Communication.

All roles at N26