Analytics Engineer - Paid Media

We're looking for a mid-level Analytics Engineer to join our Paid Media division and help us build data models that make campaign performance clear, trustworthy, and easy to act on.

You'll work closely with our Paid Media and Marketing teams, understanding what they actually need to know, and turning that into clean, well-documented data models that people rely on every day. If you care about getting the modeling right and enjoy the process of making sense of messy business questions, we'd love to talk.

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  Design and maintain dbt models that power paid media reporting and performance analysis;

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  Work closely with stakeholders to understand the business questions behind data requests, not just the what, but the why;

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  Translate paid media concepts (campaigns, attribution, channel performance) into solid dimensional models;

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  Ensure data quality through testing, documentation, and good modeling practices;

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  Collaborate with Data Engineers on how data lands in the warehouse, so your models are built on a solid foundation.

• A few years of experience in analytics engineering, data modeling, or BI development;

• Strong SQL skills and hands-on experience with dbt;

• A thoughtful approach to dimensional modeling and structuring data for analytical use;

• Genuine curiosity about the business side - you want to understand how paid media works, not just model it;

• Good at working with non-technical stakeholders and asking the right questions.

• Familiarity with paid media data - Meta, Google Ads, or similar platforms;

• Experience with attribution reporting or marketing performance analytics.

dbt Core, GitHub, Redshift - with Data Engineers handling orchestration and ingestion, so you can focus on the modeling layer.

We look forward to hearing from you and accept applications until 20th May.
Please submit your CV and cover letter in PDF; only applications submitted in English will be considered.

Expected start date: as soon as possible.