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This role sits at the intersection of business and data. You will take ownership of how data is translated into insights that people actually use. That means not just building dashboards, but understanding the business context, challenging requirements, and delivering solutions that drive decisions. You will be part of the Data & Analytics team within the Sales & Service value stream, working in an agile setup (SAFe) where delivery is only considered complete when it creates real business value. The analytics landscape is built on a modern Azure Databricks Lakehouse platform (GDAH), with Power BI as the primary tool for reporting and visualization.
Job Responsibility:
Design, develop, and maintain Power BI semantic models and reports using best practices and CI/CD pipelines
Translate business needs into clear, effective, and user-friendly dashboards and analytical solutions
Act as a Business Analyst: gather, challenge, and refine requirements with stakeholders and UX specialists
Analyze business processes and data flows to identify opportunities for improvement and automation
Bridge the gap between business users and technical teams to ensure alignment and clarity in BI initiatives
Train and support end-users, increasing data literacy and adoption across the organization
Continuously improve existing solutions by staying updated on BI trends, tools, and best practices
Requirements:
Strong experience with Power BI (design, development, and deployment)
Solid understanding of data modeling, DAX, and visualization best practices
Good experience with SQL
Understanding of BI and Data Warehouse concepts, including Lakehouse architecture and modeling (e.g. Kimball)
Experience translating business requirements into analytical solutions and dashboards
Experience working in agile environments (SAFe is a plus), ideally in distributed teams
Ability to collaborate with business stakeholders, super users, and UX teams
Nice to have:
Experience with Azure Databricks or similar data platforms