Senior Analytics Engineer

HDR • Omaha, NE

2d

About The Position

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• Minimum 5 years of analytics or data experience with demonstrated ownership of complex analytical models.
• Strong SQL proficiency and experience with governed analytics delivery practices.

Nice To Haves

• In depth experience with dbt Cloud or dbt Core with Git integration.
• Experience implementing enterprise-wide metric programs or shared semantic layers.
• Experience with governance practices for documentation, lineage, and change management.

Responsibilities

• Lead design of complex analytics domains; standardize patterns and conventions across projects.
• Establish modeling standards for marts/semantic layers that maximize reuse and minimize ambiguity.
• Define and maintain metric/KPI governance practices.
• Develop reusable macros and shared packages to standardize common modeling patterns.
• Define and enforce testing strategies (coverage, severity, release gates) and documentation conventions.
• Implement CI/CD checks for analytics models (build/test/docs) and enforce review discipline.
• Partner with business stakeholders to validate definitions and ensure analytics deliver measurable value.
• Mentor analytics engineers and review work for correctness, maintainability, and clarity.
• Drive adoption of documentation, lineage, and discoverability practices to reduce support load.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior