We’re looking for a Marketing Data Analyst who’s excited to build our marketing analytics function from the ground up and help us scale to millions of investors across Europe.
If you’re up for the challenge to grow Mintos into a multi-asset investment platform, we’d be excited to get to know you!

YOUR PROFESSIONAL SKILLS AND BACKGROUND:

• Proven experience as a data or marketing analyst, ideally in a high-growth environment or digital-first business.
• Strong proficiency in SQL and Python; hands-on experience with BI tools (PowerBI preferred).
• Familiarity with marketing platforms such as Braze and GA4, and a solid understanding of lifecycle marketing.
• Deep analytical thinking paired with the ability to communicate insights clearly and simply.
• A track record of working independently, taking ownership, and driving results from ambiguity.
• Experience with or interest in predictive modeling and marketing experimentation is a big plus.

COULD THIS ROLE BE AN IDEAL MATCH FOR YOU?

• You get a thrill from turning raw data into actionable insights that move the business forward.
• You enjoy digging deep into customer behavior to uncover patterns and opportunities others might miss.
• You feel at home navigating between a well-structured SQL query and a beautifully built dashboard.
• You thrive in a fast-paced environment where strategic thinking, technical know-how, and a strong sense of ownership are key.
  If that sounds like you, this role offers the opportunity to make a real impact. You’ll shape how we leverage data to drive strategy, personalization, and growth at scale.

WHAT YOU WILL DO

As the Marketing Data Analyst, you will be a critical force behind data-driven growth at Mintos. You will lay the foundation for scalable, insight-driven marketing operations and enable smart decision-making through segmentation, predictive analytics, and performance reporting.

You will:

• Develop and maintain robust customer segmentation based on behavioral, transactional, and demographic data.
• Analyze customer journeys to identify lifecycle milestones, churn risks, and opportunities for re-engagement and retention.
• Partner with engineering and marketing to enable machine learning models and Next Best Action frameworks that enhance personalization.
• Design, build, and maintain Power BI dashboards and performance tracking systems across lifecycle KPIs and marketing incentives.

• Empower the marketing team with self-serve analytics, experimentation support, and ad-hoc insights for strategic decisions.