Analytics Engineer

CHG Healthcare • Midvale, UT

1d • Remote

About The Position

The Data & Analytics team is looking for an Analytics Engineer to join us and help build the data foundation that powers decision-making across CHG’s marketing and provider strategy. This role sits at the intersection of data engineering and analytics. You’ll work closely with engineers, analysts, and stakeholders across the organization, bringing both technical depth and a genuine curiosity about the business problems behind the data. We’re looking for someone who takes real ownership of their work, communicates openly, and brings a collaborative spirit to hard problems. You’ll be a part of shaping how we model and serve data, including how we incorporate AI tooling into our analytics workflows and the support of a team that values craft, humility, and continuous improvement.

Requirements

• Strong proficiency in SQL
• Hands-on experience with dbt (Core or Cloud) building and maintaining models in production
• Experience building or working with semantic layer views to centralize and standardize key business metric definitions
• Solid understanding of dimensional modeling, data warehouse design, and ELT patterns
• Experience with a cloud data warehouse (Snowflake preferred)
• Experience with BI tools (Looker, Tableau, or Power BI) and how downstream users consume data
• Practical experience using AI tools to enhance productivity, improve data workflows, or accelerate development
• Excellent communication skills with the ability to work effectively across technical and business teams

Responsibilities

• Help define and standardize key business metrics in collaboration with stakeholders
• Develop and maintain dashboards and reports that give business teams reliable, selfserve access to the metrics that matter most to them
• Build and maintain semantic layer views that serve as the trusted, centralized definitions of key business metrics
• Use AI-assisted development tools to improve the speed and quality of data modeling work and for documentation generation, anomaly detection, and surfacing insights from complex datasets
• Partner closely with analysts and business stakeholders to understand data needs and translate them into durable, reusable solutions
• Serve as a trusted resource for analysts and downstream consumers
• Communicate clearly across technical and non-technical audiences, making complex data concepts accessible without oversimplifying them

Benefits

• 401(k) retirement plan with company match
• Traditional healthcare benefits such as medical and dental coverage
• Onsite health centers
• Corporate wellness programs
• Free behavioral health appointments
• Flexible work schedules - including work-from-home options available
• Recognition programs with rewards including trips, cash, and paid time off
• Family-friendly benefits including paid parental leave, fertility coverage, adoption assistance, and marriage counseling
• Tailored training resources including free LinkedIn learning courses
• Volunteer time off and employee-driven matching grants
• Tuition reimbursement programs

What This Job Offers

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