Business Analytics Specialist

What you'll do

• Own and evolve BI experiences for Corporate Accounts CAIP and Azure analytics to provide actionable business performance views.
• Develop and maintain executive scorecards, dashboards, KPIs, and analytical products for Corporate Accounts.
• Design and maintain Power BI and Microsoft Fabric semantic models to provide a trusted foundation for self-service and AI.
• Translate complex business requirements into scalable reporting solutions, dimensions, measures, and reusable analytical logic.
• Analyze performance across multiple data sources to identify customer, product, sales, and execution trends.
• Partner with data engineering teams to improve source data quality, model scalability, and platform performance.
• Design analytical assets to support natural-language querying, Copilot-enabled experiences, and other AI-driven scenarios.
• Communicate analytical findings and technical concepts effectively to both business and technical audiences.

What we're looking for

• Master's Degree in a quantitative or business field and 3+ years of experience in data analysis, BI, or financial analysis.
• Bachelor's Degree in a quantitative or business field and 4+ years of experience in data analysis, BI, or financial analysis.
• Experience building business intelligence solutions using Power BI, including dashboards, scorecards, and executive reporting.
• Hands-on experience designing and maintaining Power BI semantic models, including dimensional modeling, star schemas, and DAX.
• Proficiency in SQL and experience building or optimizing solutions using Microsoft Fabric.
• Experience working with sales, commercial, finance, operations, or customer performance data.
• Ability to translate complex business questions into scalable analytical products and clear business narratives.
• Experience with cloud, Azure, enterprise software, or technology-industry business models (preferred).
• Master's Degree and 6+ years of experience in data analysis, BI, or financial analysis (preferred).
• Bachelor's Degree and 8+ years of experience in data analysis, BI, or financial analysis (preferred).