BI Analyst – Remote-First

EPI Company; Berlin; Remote; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

A leading digital payment initiative in Berlin is seeking a Business Intelligence Analyst to bridge finance and data by owning SQL and Python pipelines. The role involves designing financial dashboards and collaborating with various stakeholders to drive data-informed decisions. Ideal candidates have advanced SQL skills, proficiency in Python, and experience with cloud platforms. Join a dynamic team focused on modernizing financial insights.

Qualifikationen

• 3+ years of hands-on experience writing advanced SQL, including performance tuning.
• Proficiency in Python for data wrangling and automation.
• Experience with data visualization tools like Power BI.

Aufgaben

• Design new dashboards and reports for financial analysis.
• Own monthly billing and revenue-recognition pipelines.
• Translate finance requirements into technical specifications.

Kenntnisse

Advanced SQL

Python for data wrangling

Data visualization (Power BI)

Strong communication skills

Experience with cloud platforms

Tools

Azure Cloud

Databricks

Power BI

Jobbeschreibung

Be part of a movement to change the way Europe pays

In today’s digital world, payments often still feel outdated: random delays and confusing rules make it harder than it should be to pay and get paid. The European Payments Initiative (EPI) is here to change all that, forever.

With Wero, our digital wallet, we make sending and receiving money simple, seamless and secure across France, Belgium and Germany, with more countries and omnichannel solutions coming soon. Supported by 14 major banks and the two largest European acquirers, EPI is building a new, proudly European payment system: easy, instant and transparent, all for the greater good.

What's in it for you

Join us as our next Business Intelligence Analyst, bridging Finance and Data to convert raw figures into actionable insights, owning the SQL + Python pipelines in Azure and Databricks that fuel our financial dashboards, billing engines, and senior management insights. You will work closely with finance analysts, business stakeholders, and other technical teams to deliver data-driven insights and make data-informed decisions.

About the team

You’ll join a team of 3 talented Data Analytics experts based in the Netherlands, within the Finance department. Each team member brings unique skills and perspectives, fostering a rich learning environment.

Technology stack

• SQL, Power BI, Azure Cloud, Python, Databricks

Your impact

• Build & enhance financial reporting: Design new dashboards, reports, and self-service datasets for P&L, cash-flow, and margin analysis
• Maintain operational calculations: Own monthly billing, revenue-recognition, and commission-calculation pipelines. Implement automated data-quality checks and reconciliation controls
• Data modeling & pipeline engineering: • Develop medallion-architecture tables in Databricks (bronze/silver/gold)
• Stakeholder collaboration: Translate finance requirements into technical specs. Train finance analysts on new datasets and BI tools
• Continuous improvement & governance: Champion cost-optimization and FinOps best practices in Cloud platforms
• Work across several legal entities: harmonization of data models and reporting standards to present a single source of truth

️ To succeed, you should meet at least 70% of these requirements

• +3 years of hands-on experience writing advanced SQL, including window functions, common table expressions (CTEs), and performance tuning
• Proficiency in Python for data wrangling and automation
• Practical experience working with cloud platforms (e.g., AWS, Azure, GCP)
• Strong communication skills with the ability to translate complex financial concepts into clear technical requirements
• A proactive mindset with a strong bias for automation and thorough documentation
• Comfortable working in agile, cross-functional teams
• Experience with data visualization tools such as Power BI or Tableau

Nice to have:

• Familiarity with dbt (data build tool)
• Exposure to machine learning techniques for forecasting or anomaly detection
• Understanding of financial analytics and reporting

???? If this looks like you, the recruitment steps are:

1. A first call with one of our recruiters
2. Possibly, a business case or a tech assessment
3. A technical interview with the hiring manager
4. A final interview with the Chief of Finance
5. Hopefully, an offer you can’t refuse

Turn back if …

• You don't have advanced experience with SQL and visualization tools
• You cannot translate able to navigate from business to technical challenges

Otherwise apply!

???? Our commitment to equal employment opportunities

EPI offers the same job opportunities to all, without distinction of gender, ethnicity, religion, sexual orientation, social status, disability or age. EPI promotes the development of an inclusive work environment that mirrors the diversity of the clients our product is serving.