Analytics Engineer

CHG Healthcare

Analytics Engineer building the data foundation that drives decision-making across CHG's marketing and provider strategy. Collaborating with technical and business teams to define and serve key metrics.

Posted 5/12/2026full-timeRemote • Utah • 🇺🇸 United StatesMid-LevelSenior💰 $116,500 - $225,300 per yearWebsite

Tech Stack

Tools & technologies

CloudSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
3–5 years of experience in analytics engineering, data engineering, or a hybrid analyst/engineer role
Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field, or equivalent work experience
Demonstrated experience delivering analytical data products that are actively used by business teams.

Benefits

Comp & perks

401(k) retirement plan with company match
Traditional healthcare benefits such as medical and dental coverage, and some unique benefits like onsite health centers, corporate wellness programs, and 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

ATS Keywords

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Hard Skills & Tools

SQLdbtdimensional modelingdata warehouse designELT patternsSnowflakeLookerTableauPower BIAI tools

Soft Skills

communication skillscollaborationproblem-solvingtranslating data needsmaking complex concepts accessible

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Information SystemsBachelor’s degree in Statistics