Analytics Product Engineer

About the role

The Analytics Product Engineer will ensure that Business Intelligence, Analytics & Reporting (BIAR) products are built on scalable, consistent, and reusable data foundations. This role translates business analytics needs into clear data specifications and designs robust semantic models for consumption in Power BI and other analytics tools.

Key responsibilities

• Design, build and maintain certified, reusable datasets for Power BI and analytics solutions.
• Define and enforce best practices for analytics data modeling and KPI logic.
• Optimize performance and usability of analytical datasets.
• Collaborate with centralized IT teams to translate analytics requirements into structured data needs and provide feedback on IT‑delivered models.
• Integrate Master Data Management (MDM) structures into analytics layers and align with data‑governance standards.
• Promote modular, scalable dataset design to reduce duplication of calculations and KPI definitions.
• Establish quality standards for analytics data products and support certified dataset implementation.
• Mentor BIAR analysts on modeling best practices and raise overall technical maturity.

Required profile

• Minimum 3 years of experience in BI, analytics engineering, or data modeling.
• Strong expertise in Power BI datasets and semantic modeling.
• Solid understanding of dimensional modeling concepts.
• Experience working closely with centralized IT data teams.
• Structured, quality‑focused mindset with the ability to explain technical concepts to business stakeholders.

Required skills

• Power BI
• Databricks
• Dimensional modeling
• Semantic modeling
• Master Data Management (MDM)