BI Analyst

Milan

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About the job

At Flatpay, a rapidly growing fintech company recognized as one of the fastest growing in Denmark, we’re expanding our presence in Denmark, Finland, Germany, Italy, and France. We’re looking for an ambitious and curious BI Analyst for our office in Milan, who loves transforming data into insights and developing value-adding solutions to support our growth journey!
You will be part of our Group BI team, working closely with colleagues across markets to build and maintain scalable data solutions. While embedded in a central function, your location in Milan will play a strategic role in strengthening local data adoption and usage, ensuring that insights are tailored to support the Italian market’s needs while contributing to Flatpay’s broader data strategy.

Flatpay is dedicated to revolutionizing the payment industry with innovative solutions that enhance user experience and drive efficiency. Our commitment to technology and customer satisfaction has positioned us as a leader in the fintech sector. With a dynamic team and a collaborative culture, we are focused on leveraging data to inform decision-making and drive our business forward. You’ll become part of our expanding BI team, where collaboration, fun and a relaxed atmosphere are our top priorities.

We request to attach your CV in English.

What you'll do

As a BI Analyst at Flatpay, you’ll be juggling various tasks related to analysis and reporting on diverse data sets, along with playing a crucial role in maintaining and further developing bonus models for our commercial business. With your expertise, you’ll revise and develop our existing models, ensuring that we meet business needs and stay ahead of best practices and technologies.
 
Your main responsibilities will include:
  • Maintaining and building bonus models for all market areas in Flatpay.
  • Ensuring data quality and accuracy through testing and validation of data.
  • Developing reports and dashboards (mainly in Power BI).
  • Support on data transformations and data pipeline (dbt & Fabric).
  • Support the local Italian business with ad hoc analysis.
  • Contribute to shaping a future-proof solution of our data infrastructure.

Who you are

To succeed in this role, you must have flair for programming along with experience in Power BI and SQL. You are naturally curious, and open to embracing new technologies to streamline your tasks. You possess a solid understanding of business processes and thrive when working on connecting business needs with complex analytical solutions. You’re used to working independently, passionate about delivering results continuously, and comfortable navigating an agile environment with a high pace.
 
Moreover, we imagine that you have:
  • 1-3 years of experience in data processing and visualization using Power BI.
  • Fluency in English, both written and spoken.
  • Great stakeholder management skills.
  • The ability to communicate financial and analytical concepts in an understandable way.
  • A higher education degree in economics, IT, data analytics or another relevant field.
  • Great business acumen and a commercial mindset.

Why Flatpay?

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 +700 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.
 
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 and we’ll get in touch with you.
 
Let’s shape the future together! ????
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Data Analytics Data quality Data strategy dbt Economics FinTech Power BI SQL Testing

Perks/benefits: Career development Startup environment

Region: Europe
Country: Italy

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