Analytics Engineer

HDR; Omaha (NE); On-site; USD 80,000 - 110,000; Full time

Job summary

HDR in Omaha, Nebraska is seeking an Analytics Engineer to design and maintain data models that support enterprise reporting and business decision-making. The role requires collaboration with technical and business teams to ensure data quality. Candidates should have an associates degree in computer science or related field and at least 3 years of software development experience. Preferred skills include proficiency in SQL, dbt usage, and familiarity with BI tools like Power BI or Tableau. Full-time position with a commitment to creating an inclusive environment.

Qualifications

• Minimum of 3 years of experience in software development.
• Experience using dbt for analytics engineering, including testing and documentation.
• Intermediate Microsoft Excel and Word skills.

Responsibilities

• Design, build, and maintain analytics-ready data models using dbt.
• Translate business requirements into well-documented data models.
• Collaborate with Data Engineers on data ingestion patterns.

Skills

SQL proficiency

Data modeling

Collaboration

Analytical thinking

Problem-solving

Education

Associates degree in computer science or related field

Tools

dbt

Git

Power BI

Tableau

Looker

Job description

Overview

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected. This role focuses on transforming raw data into analytics-ready datasets that power enterprise reporting, analytics, and business decision-making. The Analytics Engineer sits at the intersection of data engineering and analytics, partnering with technical and business stakeholders to ensure data is reliable, well-documented, and scalable.

Responsibilities

• Design, build, and maintain analytics-ready data models using dbt, following dimensional and semantic modeling best practices (e.g., star schemas, marts, facts, dimensions).
• Translate business requirements into clear, well-documented data models that are intuitive, performant, and reusable across analytics and BI tools.
• Own the analytics layer of the data platform, ensuring consistency, clarity, and trust in metrics and definitions.
• Implement dbt tests, documentation, and exposures to improve data quality, observability, and stakeholder confidence.
• Partner with analytics, BI, and business teams to define and standardize core metrics and KPIs.

dbt Development & Platform Practices

• Develop and maintain dbt projects using best practices: modular, well-structured models; version control (Git-based workflows); CI/CD and environment promotion patterns.
• Optimize dbt models for performance, cost efficiency, and scalability within the cloud data warehouse.
• Leverage dbt features such as snapshots, seeds, macros, and packages where appropriate.
• Participate in code reviews and contribute to shared analytics engineering standards.

Cross Functional Collaboration

• Collaborate with Data Engineers on upstream data ingestion patterns and source system modeling.
• Work with Analytics, Reporting, and Business stakeholders to ensure data models meet analytical and operational needs.
• Support BI tools (e.g., Power BI, Tableau, Looker) by providing well-designed, analytics-ready datasets rather than ad hoc SQL.

Senior Level Expectations

• Act as a technical leader for analytics engineering and data modeling practices.
• Influence data modeling standards, naming conventions, and metric definitions across the organization.
• Mentor junior analytics engineers and analysts.
• Partner with platform leadership on analytics architecture, governance, and roadmap planning.

Qualifications

Preferred Qualifications

• Advanced proficiency in SQL for analytics, data modeling, and validation.
• Experience designing dimensional data models (facts, dimensions, marts, star schemas).
• Experience using dbt for analytics engineering, including testing and documentation.
• Familiarity with cloud-based data warehouses such as Snowflake.
• Experience with Git-based version control workflows.
• Exposure to enterprise BI tools such as Power BI, Tableau, or Looker.
• Experience supporting or building standardized metrics and KPI frameworks.
• Prior experience helping organizations mature from ad hoc analytics to modeled, metrics-driven analytics.

Required Qualifications

• Associates degree in computer science or a related field of study
• A minimum of 3 years of experience in software development
• Demonstrated analytical thinking and problem-solving skills
• Demonstrated ability to work across teams
• Experience interpreting business requirements, functional specs and test scripts
• Intermediate Microsoft Excel and Word skills

What We Believe

HDR is our company. Together, we build on each other\'s life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.

Our Commitment

As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.

Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

Primary Location: United States-Nebraska-Omaha

Industry: IT

Schedule: Full-time

Employee Status: Regular

Business Class: Marketing and Admin

Job Posting: Apr 16, 2026

At HDR, we are committed to the principles of employment equity. We are an Affirmative Action and Equal Opportunity Employer. We consider all qualified applicants, regardless of criminal histories, arrest and conviction records.