Design and develop Power BI dashboards (or equivalent BI tools) to monitor product revenue performance
Build and maintain revenue estimation and forecasting models
Structure and integrate data from multiple sources (data platforms, Finance systems, operational datasets)
Develop automated and scalable reporting solutions, replacing Excel-based processes
Define and enhance data models supporting product performance control
Contribute to data transformation workflows using SQL and analytics tools
Monitor product revenue performance and identify trends or anomalies
Perform deviation analysis (Forecast vs Actual) and investigate root causes
Support data-driven explanations of financial performance variations
Act as an analytical bridge between Business, Finance, and Operations teams
Support decision-making through clear insights and reporting
Improve and maintain reporting pipelines and BI solutions
Contribute to the industrialization and automation of performance monitoring processes

Bachelor’s degree in Business Analytics, Economics, Engineering, Statistics, Computer Science, or related field
Strong experience in SQL (Microsoft SQL Server or equivalent)
Strong experience with BI tools such as Power BI or Tableau
Experience with data preparation and transformation tools (Alteryx, Dataiku is a plus)
Solid understanding of data modeling and dashboard design
Experience in financial or product performance analysis (revenues, P&L, forecasting)
Strong analytical skills with ability to synthesize complex data into insights
Exposure to automation of reporting and migration from Excel-based processes
Knowledge of AI/LLM tools is a plus
English: C1

Senior BI Data Scientist

Key skills