Data Analytics Engineer

Role Overview

The Data Analytics Engineer develops trusted analytical datasets, semantic models, governed metrics, and reusable reporting assets that enable enterprise reporting, self-service analytics, and AI-enabled experiences. Working across business domains, Data Engineering, Data Governance, and platform teams, this role translates business concepts into consistent data models and measures while ensuring analytical assets are secure, performant, documented, and supportable.

What You Will Do

Design, build, test, and maintain semantic models using Microsoft Fabric and Power BI. Develop dimensional models, measures, KPIs, hierarchies, calculations, and reusable analytical components. Translate business definitions and reporting requirements into consistent, governed analytical models. Optimize model relationships, DAX calculations, refresh strategies, aggregations, and query performance.

Why It Might Be a Fit

You’ll contribute to a mission that matters by helping organizations around the world safeguard and recover their most valuable asset: their data. You’ll gain experience with modern analytics, cloud, and AI technologies that are shaping the future of enterprise data. You’ll collaborate with smart, supportive teammates who are passionate about innovation, curiosity, and solving complex challenges together.

Requirements

• 2+ years of experience in analytics engineering, business intelligence, semantic modeling, data analysis, or related disciplines
• Strong SQL skills and practical experience with dimensional modeling and analytical data structures
• Hands-on experience with Power BI and/or Microsoft Fabric semantic models, including DAX
• Experience designing and supporting enterprise reports, datasets, or semantic models across multiple subject areas
• Understanding of data quality, metadata, lineage, access control, testing, and release management
• Ability to translate business requirements into clear technical designs and communicate effectively with stakeholders
• Bachelor’s degree in Computer Science, Information Systems, Analytics, Engineering, or a related field; equivalent practical experience will be considered

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Flexible work arrangements
• Professional development opportunities
• Employee assistance program
• Wellness programs

Tagged as: Data Analysis