# Senior Marketing Data Analyst 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: - Lead the Acquisition Measurement domain:

- **Company:** N26 (https://jobs.trythestack.co/companies/n26)
- **Location:** Spain
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** SQL, Python, R, Tableau, Looker, Metabase, Superset, Marketing Mix Modeling, Experimental Design, Hypothesis Testing, Data Storytelling, Data Visualization, Audience Segmentation, Conversion Rate Optimization, Data Modeling, Customer Lifetime Value
- **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/7529962?gh_jid=7529962 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-marketing-data-analyst-n26

## About the role

Responsibilities:
- Lead the Acquisition Measurement domain: define and own roadmap, prioritise work with business and technical stakeholders.
- Act as primary analytics partner to acquisition teams (Paid Media, Strategy, Referrals, Product Marketing) on measurement and data questions.
- Drive Marketing Science initiatives: collaborate on Marketing Mix Modeling, promote Customer Lifetime Value usage, and own Test & Learn experiments end-to-end (design, analysis, share-outs).
- Build scalable, self-serve resources: define measurement frameworks, design/maintain analytics dashboards, and establish reliable data-model lineage.
- Communicate insights and enable teams: document findings, create playbooks, run knowledge-sharing sessions to raise analytics maturity.
- Contribute to OKRs and align measurement to business goals; collaborate across analytics community.

Requirements:
- 5+ years in Marketing or Product Analytics with a clear focus on acquisition strategy and performance measurement.
- Strong SQL and Python or R skills; experience with BI tools (Looker/Tableau/Metabase/Superset) and data modeling.
- Hands-on experience with Marketing Mix Modeling and experimentation (A/B test design and analysis).
- Solid understanding of statistical methods, hypothesis testing, audience segmentation, and conversion rate optimization.
- Ability to translate complex analyses into clear recommendations for non-technical stakeholders and influence senior leadership.
- Collaborative, documentation-minded, and experienced working in cross-functional teams.

## Responsibilities

Lead the Acquisition Marketing Measurement roadmap to enable data-driven decisions and foster a culture of continuous improvement. Collaborate with cross-functional teams to build scalable analytics dashboards and drive Marketing Science initiatives like Marketing Mix Modeling.

## Requirements

Requires over 5 years of experience in Marketing or Product Analytics with a strong background in experimental design and statistical methods. Proficiency in SQL, Python/R, and data visualization tools is essential for translating complex analysis for non-technical stakeholders.

## FAQ

- **Is this Senior Marketing Data Analyst 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 Spain. It is marked on-site.
- **What skills does this role ask for?** The listing names: SQL, Python, R, Tableau, Looker, Metabase, Superset, Marketing Mix Modeling, Experimental Design, Hypothesis Testing, Data Storytelling, Data Visualization, Audience Segmentation, Conversion Rate Optimization, Data Modeling, Customer Lifetime Value.

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## About The Stack

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## Notes for agents

- Apply on the employer's page (https://n26.com/en-eu/careers/positions/7529962?gh_jid=7529962). The Stack does not take applications.
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