Job Description

The team

Enterprise technology must do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

Your work profile

· Strong experience with the Microsoft Power BI stack.

· Proficiency in SQL Database — ability to write complex queries, optimize performance, and ensure data integrity for reporting and analytics.

· Expertise in data modeling, DAX, Power Query (M language), and report/dashboard development using Power BI.

· Experience working with Power BI Service — including workspace management, dataset refreshes, gateways, and row-level security (RLS).

· Strong understanding of data warehouse and data lake concepts to design optimized reporting and analytics solutions.

· Experience creating semantic data models, establishing relationships, and implementing best practices for performance optimization.

· Experience in integrating Power BI with Azure data sources, such as Azure SQL Database

. Ability to collaborate with business stakeholders, SMEs, and Data/Business Analysts to understand requirements and deliver insightful dashboards.

· Implement data transformation, cleansing, mapping, and automation using Power Query or Power BI Dataflows.

· Develop and maintain KPI dashboards, scorecards, and visual analytics solutions aligned with business needs.

· Strong understanding of ETL design principles, working with both structured and unstructured data, ensuring accuracy and reliability.

· Ability to document best practices, governance standards, and deployment guidelines for Power BI assets across environments.

· Collaborate with cross-functional teams to implement end-to-end analytics solutions that align with business goals.

· Excellent communication and presentation skills for sharing insights with business and leadership teams.

Key skills required

· 3+ years of experience with Power BI stack technologies, including data engineering aspects.

· Development experience using the technologies below:

o Power BI Desktop & Power BI Service

o Power Query

o DAX (Data Analysis Expressions)