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Open nowPosted 17 days ago

Quest Analytics Internship Program - Summer 2027 in Kansas City

questanalytics8 open roles

Where
Overland Park, KS
Work mode
Hybrid
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Your applicationOpen nowQuest Analytics Internship Program - Summer 2027 in Kansas Cityquestanalytics · Overland Park, KS
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Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 17 days ago

The posting

Your Quest: Build the tools that improve healthcare access

At Quest Analytics, headquartered in Overland Park, KS, our mission is to make healthcare more accessible for all Americans. We are a healthcare technology company focused on improving provider network management and helping healthcare organizations ensure their members have access to the care they need. Our technology, data, and expertise help health plans and healthcare organizations solve complex challenges involving provider data, network accuracy, adequacy, accessibility, and regulatory compliance.

Our Summer Internship Program gives students the opportunity to work alongside experienced professionals on meaningful projects that contribute to real products, data solutions, and business outcomes. Interns aren't here just to observe, you'll have the opportunity to build, analyze, problem-solve, collaborate, and make an impact.

We have an exciting opportunity for highly talented and motivated individuals to join us as part of our 2027 Internship Program. If you live in the Kansas City area or in the Rolla, MO area and are ready to gain real-world experience, we’d love to meet you.

Apply with us and let’s connect!

Internship Opportunities:

What You'll Need:

  • Must live in the Kansas City metro area or in the Rolla, MO area
  • Able to work without visa sponsorship now and in the future
  • Pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Data Analytics, Data Engineering, or related field
  • Juniors and above preferred (2+ years of degree experience)
  • Prior internship experience in data engineering, analytics, or data science is a plus
  • Programming: Python and SQL
  • Additional languages: C#/.NET preferred; Java or C++ also relevant
  • Databases: SQL Server and relational databases; exposure to NoSQL or MongoDB is a plus
  • Data & Development Tools: Databricks, Spark, Git
  • Analytics & Visualization: Excel, Power BI, PowerPoint
  • Frontend Development: HTML, CSS/Sass, React, and TypeScript are a plus for Software Engineering candidates
  • Understanding of object-oriented programming concepts; C#/.NET experience is preferred
  • Ability to troubleshoot and debug applications
  • Ability to write performant SQL queries against complex data models
  • Understanding of relational databases, data structures, and software development fundamentals
  • Exposure to data pipelines, ETL/ELT processes, distributed data processing, APIs, or cloud-based technologies is a plus
  • Familiarity with source control and collaborative development using Git
  • Statistics, probability, and exploratory data analysis
  • Machine learning fundamentals, including supervised and unsupervised learning
  • Classification and regression techniques
  • Model development, validation, and evaluation
  • Feature engineering and data preprocessing
  • Natural language processing (NLP)
  • Python data science libraries such as pandas, NumPy, scikit-learn, or similar tools
  • Data visualization and communicating analytical findings
  • Experimentation, hypothesis testing, and quantitative problem solving
  • Generative AI and Large Language Models (LLMs) are a plus
  • Exposure to prompt engineering, embeddings, vector search, retrieval-augmented generation (RAG), or other applied AI techniques is a plus
  • Strong communication and collaboration skills
  • Ability to communicate data topics and results clearly
  • Self-motivated, proactive, and effective in a remote environment
  • Strong problem-solving mindset and team player attitude
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