Data Analytics Engineer

Mandatory Skills: Power BI, SQL, Data modelling, DAX, DAX queries, Snowflake or DBT

 

 

Your Job

 

As a Analytics Engineer at Koch Capabilities, you will design, build, and optimize scalable Business Intelligence solutions that enable data-driven decision-making across INVISTA. You will own Power BI reporting and semantic model design, enable business self-service through Sigma Computing, and collaborate with data engineering teams to operationalize dbt-based transformations—delivering accurate, performant analytics and training users to get the most value from BI platforms.

 

Our Team

 

You will join INVISTA’s Data & Analytics team within Koch Global Service India (KGSI), working as part of an international analytics organization. The team partners closely with BI administrators, data engineers, and domain analysts across manufacturing, supply chain, and corporate functions to deliver foundational analytics solutions and increase analytics literacy across the business.

 

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