Analytics Engineer - AI-Ready BI & Dimensional Modeling

Koch

Wichita (KS)

On-site

USD 95,000 - 140,000

Full time

9 hours ago
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Benefits offered by this job

Medical, dental, vision
401(k) with company match
Paid time off
Educational assistance

Job summary

Koch Engineered Solutions (KES) seeks an Analytics Engineer to design and deliver semantic models and BI assets that empower decision-making across the enterprise. You will collaborate with analysts, business partners, and data engineers to transform raw data into trusted, AI-ready analytics and ensure they are discoverable and reusable.

Based in Wichita, KS, the role operates in an Agile environment with Git-based workflows, CI/CD, and data governance.

Qualifications

  • Demonstrated experience building dimensional data models for BI applications.
  • Strong SQL skills and ability to optimize data transformations.
  • Experience with Power BI reports and semantic modeling.
  • Proficiency with Git-based version control and CI/CD workflows.

Responsibilities

  • Design and deliver semantic models and BI solutions for decision making.
  • Collaborate with analysts, business partners, and data engineers to transform data.
  • Develop enterprise Power BI reports with usable, consistent definitions.
  • Follow development practices: version control, PR workflows, testing, and governance.
  • Support data discoverability and user adoption through documentation.

Skills

Dimensional modeling
Power BI
Power Query (M)
Git workflows
Collaboration with analysts
DBT
Snowflake
AI-ready analytics

Tools

Power BI Desktop
SQL
Git
dbt
Snowflake

Job description

Koch Engineered Solutions (KES) seeks an Analytics Engineer to design and deliver semantic models and BI assets that empower decision-making across the enterprise. You will collaborate with analysts, business partners, and data engineers to transform raw data into trusted, AI-ready analytics and ensure they are discoverable and reusable.

Based in Wichita, KS, the role operates in an Agile environment with Git-based workflows, CI/CD, and data governance.

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