As an entry level Analytics Engineer at Flatpay, you will be the bridge between data engineering and analytics. Your primary focus will be to build and maintain robust, scalable, and well-documented data models that enable data-driven decision-making across the business.

You'll work closely with product managers, sales mangers, analysts, and engineers to understand data needs, translate them into clean, accessible data structures using tools like Fabric, dbt, and Power BI, and ensure our dashboards and insights are reliable, performant, and self-service friendly.

• Designing, building, and maintaining efficient, tested, and well-documented data models to support product analytics, self-service analytics, and operational reporting
• Supporting product managers by developing intuitive and user-friendly dashboards and reporting layers that empower decision-making without deep technical involvement
• Collaborating with business stakeholders and software engineers to understand product goals, technical capabilities, and data limitations
• Ensuring data quality and integrity through validation, testing, and continuous monitoring
• Championing best practices in data modeling, documentation, and analytics engineering across the organization
• Contributing to the evolution of Flatpay's modern data stack and infrastructure, with a focus on flexibility and reusability
• Supporting version control, CI/CD, and data governance as part of our analytics workflows

You are a detail-oriented and curious problem solver who thrives on building scalable, reusable, and user-friendly data solutions. You combine a strong foundation in SQL and data modeling with a passion for making data accessible, intuitive, and impactful for product teams and business stakeholders. You're proactive, collaborative, and comfortable owning projects end to end in a fast-paced, agile environment.

Moreover, we imagine that you have:

• Experience with data transformation and modeling, ideally using dbt or similar tools
• Strong SQL skills
• A strong understanding of Power BI (or similar BI Tool)
• Familiarity with version control (e.g., Git)
• Excellent communication skills, fluency in English (Danish is a plus), and the ability to explain analytical concepts to non-technical stakeholders

Nice to have:

• Experience with Python for scripting data ingestion, transformation, or automation tasks
• Fluency in Italian, German, or French

Don't meet every single requirement?
That’s okay! We believe that ambitious, SQL-savvy problem solvers can thrive in this role even if they don’t check every box. If you're excited about the opportunity and eager to learn, we encourage you to apply!

At Flatpay, we believe in work-life balance, creativity, and a culture that embraces innovation, where our ambitious colleagues can thrive. As part of our team, you become a part of +900 passionate Flatpayers dedicated to shaping the future of payments in Europe.

Flatpay is proud to be a company that values diversity. We secure an inclusive work environment for all our people and offer opportunities for professional growth and development.

We have free slush-ice, an in-office gym, fully equipped gaming room and lots of other fun stuff at the office!

If you’re ready to be a part of this exciting journey, we would love to hear from you today!

Please submit your resume and cover letter no later than July 20th and we’ll get in touch with you as soon as possible.

Welcome to Flatpay!

Flatpay is not just another payment solution; we are dedicated to innovating the market for payment solutions and financial services in the SME segment with our customer-centric and transparent services.

Flatpay is more than just work. We believe in fostering a vibrant and fun work culture where our ambitious colleagues can thrive. Our goal? To create the next unicorn straight out of Denmark. As part of our team, you will be one of +900 passionate colleagues dedicated to making a difference in the financial world.

What sets Flatpay apart is our dedication. We continuously strive to stay ahead of the curve, adapting our solutions to meet our client's evolving needs.

Let's shape the future of 7 million European merchants together!