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Data Analyst Advertising

Posted 19 Mar 2026
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Work experience
7 to 10 years
Full-time / part-time
Full-time
Job function
Salary
€4,300 - €5,000 per month
Degree level
Required language
English (Fluent)

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Make our advertisers perform better than they dreamed possible

How do you make our customers happy?

Advertising works best as a win-win proposition. When shoppers discover relevant products. And when advertisers invest in the right audiences. As a Senior Data Analyst, you turn complex campaign data into insights that drive better decisions. You help advertisers move beyond vanity metrics toward a genuine understanding of what drives growth. Which campaigns generate incremental value? Which audiences convert? And what works at which stage of the customer journey? With your team of eight analysts united by a single mission – making advertisers performant through analytics – your work gets and keeps advertisers on board, and on target.

The biggest challenge

Bol Retail Media is growing fast and competing head-on with the likes of Google, Meta, and Amazon. Given this competitive market, advertisers spending brand budgets demand next-level insights. As they should. Descriptive analytics and standard reports are just the ante. Attracting and retaining advertisers increasingly takes robust incrementality measurement. Solid proof that their campaigns drive growth rather than just correlate with it. Your challenge is to build the frameworks, methods, and trust that get us there, translating causal inference and advanced analytics into recommendations that senior bol and external stakeholders can act on. Ambiguity is the starting point, but never a blocker for long.

What you'll do as a Senior Data Analyst – Advertising

You’ll join Advertising Analytics – a team of eight analysts embedded in bol Retail Media. You’ll report to the Analytics Lead and work closely with Sales, Media Buyers, and Product teams, acting as a trusted analytical partner on both sides of the advertiser relationship. The scope spans the full analytics chain: from framing questions to building solutions and scaling what works. In practice:

  • Lead advanced analytics initiatives end-to-end: frame ambiguous business questions, design causal or predictive approaches, and translate outcomes into advertiser strategies
  • Develop and evolve incrementality measurement frameworks that help advertisers better understand campaign impact
  • Translate advertising performance into clear, actionable recommendations that drive campaign optimization and investment decisions
  • Act as a trusted partner to senior stakeholders internally (Sales, Product) and externally (media buyers, agencies)
  • Scale best practices and improve data-driven ways of working across Advertising and adjacent domains
  • Coach junior analysts on problem framing, analytical methods, and stakeholder alignment
  • Write clean, reusable SQL and Python; collaborate with analytical engineers on robust, cross-team pipelines

Why you can make a difference

You have 7+ years of hands-on analytics experience and a track record of delivering high-impact solutions in complex environments. SQL and Python are second nature to you; dbt and Git are old friends. You understand the advertising domain deeply – its KPIs, measurement challenges, and the specific difficulties of proving incrementality in a noisy signal environment. You’re as comfortable in a room full of data engineers as you are presenting to a CMO. And you’ve learned that the most technically elegant analysis means nothing if it doesn’t impact decisions.

3 reasons why this is (not) for you

  • Dashboard deliverer You've built some visually stunning dashboards in your career. Which is how you measure their impact.
  • Lone analyst Stakeholder management distracts from the real work. You prefer to just interact with data.
  • Comfort zone cartographer You've mastered a solid analytics stack and see no compelling reason to venture into causal inference or experimentation methodology.
  • Incrementally obsessive Correlation doesn't keep you up at night. But causation might. You won't ship a measurement framework until you're confident it actually measures what it claims to.
  • Insight activator Your definition of done isn't a dashboard or a deck. It's the moment a stakeholder makes an inspired decision because of something you surfaced.
  • Driven mentor You make the analysts around you sharper. Not by telling them what to do, but by teaching them how to think.

Where you'll work

You’ll join bol Retail Media, a fast-growing advertising platform that competes at the top of the Dutch media landscape. The Analytics team combines deep technical craft with genuine commercial acumen; here, rigor and pragmatism are equally valued. You’ll collaborate closely with Sales, Product, and external partners, operating at the intersection of data science and media strategy to achieve advertiser success. With 13.7 million customers and 47,000 partners generating rich first-party data, the raw material for world-class advertising analytics is at your fingertips. The question is what you build with it.

adoyle@bol.com

Bij bol leveren onze collega’s een unieke bijdrage om het dagelijks leven makkelijker te maken. Vrijheid en verantwoordelijkheid zorgen ervoor dat we samen de volgende stap voor bol, het team, en onszelf kunnen vormgeven. Door te pionieren brengen we bol verder, met elkaar zijn wij verantwoordelijk voor deze gezamenlijke missie.

Retail
Utrecht
Active in 2 countries
3,000 employees
50% men - 50% women
Average age is 33 years