Data & Analytics Summer Intern

CHG Healthcare•Midvale, UT

1d•Hybrid

About The Position

Healthcare’s helping hand. CHG shook things up in 1979 by inventing the locum tenens staffing model. We connect doctors with patients who need their care. As the largest physician staffing firm in America, our providers treat millions of patients each year. Our industry is growing and demand is high. This means you’ll have plenty of opportunities to grow and develop in your career. Keeping healthcare healthy can be as fun as it is rewarding." CHG Healthcare is North America's largest locum tenens staffing company, connecting healthcare providers with the facilities that need them most. Our Data & AI team of 60+ professionals powers the analytics, data engineering, and AI capabilities that drive CHG's business forward across divisions including CompHealth, Weatherby Healthcare, and Modio Health. We're looking for a curious, analytically minded undergraduate to join our Data & Analytics team for the summer. You'll work alongside data analysts, data engineers, and AI practitioners on real business problems — not busywork. This is a hands-on role where your contributions will be visible and your curiosity will be rewarded.

Requirements

Currently pursuing a bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field (junior or senior standing preferred)
Hands-on experience with SQL — you're comfortable writing queries and know your way around a relational dataset
Familiarity with Python for data analysis (pandas, numpy) is a strong plus
Experience with data visualization tools (Tableau, Power BI, Excel, or similar) is helpful
Strong analytical thinking and attention to detail — you ask good questions and follow the data
Clear written and verbal communication skills; you can explain findings to a non-technical audience
Self-starter mindset: you don't wait to be told what to do next

Nice To Haves

Exposure to cloud data platforms (Snowflake, BigQuery, Redshift, or similar)
Familiarity with dbt or data modeling concepts
Interest in AI, machine learning, or large language models
Experience working in an agile or sprint-based environment

Responsibilities

Support analysts in building and maintaining dashboards and reporting in tools like Metabase and Streamlit
Assist with data exploration and analysis using SQL and Python against our Snowflake data warehouse
Help document data definitions, KPIs, and metric logic as part of our Semantic Layer initiative
Participate in sprint planning, backlog grooming, and team stand-ups within an agile delivery model
Contribute to at least one defined analytics or AI project with a clear deliverable by end of summer
Collaborate across teams, including Data Engineering, AI & Automation, and business stakeholders