Data Analytics Engineer

What You Will Do

 

• Design and develop performant Power BI reports and reusable semantic models that translate business needs into actionable insights.
• Optimize logical and physical data models (star/snowflake schemas, semantic layers) to improve report efficiency, reliability, and maintainability.
• Enable self-service analytics by creating Sigma Computing solutions, documentation, and user enablement programs.
• Partner with Data Engineers to migrate and implement dbt-based data transformations and integrate models with cloud data platforms (e.g., Snowflake).
• Monitor usage, performance, and Microsoft Fabric consumption; implement optimizations to control cost and improve responsiveness.
• Produce best practices, technical documentation, and training materials to raise analytics literacy and ensure consistent BI development standards.
• Translate complex stakeholder requirements into sustainable technical designs and support adoption through coaching and hands-on enablement.

 

Who You Are (Basic Qualifications)

 

• Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.
• 4+ years of hands-on experience developing Power BI reports, including DAX and semantic data modeling .
• Strong proficiency in SQL for querying, data preparation, and troubleshooting .
• Solid understanding of  data modeling concepts such as star schema, snowflake schema, and semantic layers .
• Experience with, or demonstrated willingness to work on, cloud data platforms  (e.g., Snowflake) and dbt   for data transformations.

 

What Will Put You Ahead

 

• Prior experience in manufacturing, supply chain, or production analytics environments.
• Hands-on experience with Sigma Computing and Microsoft Fabric; familiarity with SSAS/OLAP cubes.
• Experience integrating data from SAP or other ERP systems.
• Certifications in Power BI, Snowflake, or dbt.
• Exposure to advanced analytics, data science, or participation in on-call support for BI production issues