Analytics Intern

Quest Analytics, LLC

. Participate in the Summer 2027 Technology Internship Program across Software Engineering, Data Engineering, and Data Science .

Posted 9/29/2026internshipUnited StatesEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong capabilities in Software Engineering, Data Engineering, and Data Science, with proficiency in Python, SQL, and data infrastructure management. Ability to apply machine learning and AI techniques to real-world business problems while effectively communicating analytical findings.

Highest-signal resume keywords

Python ProgrammingSQL Query WritingData EngineeringMachine LearningAI-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentData Ingestion PipelinesObject-Oriented ProgrammingTroubleshootingDebuggingRelational DatabasesData StructuresStatisticsData Science LibrariesETL/ELT

Soft Skills

Strong CommunicationCollaborationProblem-SolvingSelf-MotivatedTeam Player

Tools & Technologies

SQL ServerDatabricksSparkGitExcelPower BIPowerPointClaude CodeNoSQL/MongoDBCloud Technologies

Industry Keywords

Data EngineeringData ScienceMachine LearningGenerative AILLMsData PipelinesDistributed Data ProcessingAPIs

Tech Stack

Tools & technologies

CloudETLJavaMongoDBNoSQLPythonReactSCSSSparkSQLTypeScriptC++.NET

About the role

Key responsibilities & impact

Participate in the Summer 2027 Technology Internship Program across Software Engineering, Data Engineering, and Data Science
Software Engineering: help plan, design, develop, test, and deploy features and applications
Write quality code, troubleshoot issues, and improve existing products and functionality
Use AI-assisted development tools such as Claude Code for coding, debugging, testing, documentation, and development workflows
Data Engineering: build, maintain, and improve data infrastructure
Work with large, complex datasets
Develop and optimize data ingestion pipelines
Automate data processes and monitor and troubleshoot data workflows
Data Science: apply statistics, machine learning, and AI to healthcare data and real-world business problems
Support data exploration, model development and evaluation, experimentation, and communication of analytical findings
Explore generative AI, LLMs, and AI-assisted development tools
Align to a team and project based on skills, interests, academic background, and business needs
Collaborate with experienced professionals on products, data solutions, and business outcomes

Requirements

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)
Python and SQL
C#/.NET preferred; Java or C++ also relevant
SQL Server and relational databases
Databricks, Spark, and Git
Excel, Power BI, and PowerPoint
Understanding of object-oriented programming concepts
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
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
Software Engineering candidates: HTML, CSS/Sass, React, and TypeScript are a plus
Exposure to NoSQL/MongoDB, data pipelines, ETL/ELT, distributed data processing, APIs, cloud technologies, statistics, machine learning, NLP, data science libraries, generative AI, LLMs, prompt engineering, embeddings, vector search, or RAG is a plus or preferred depending on track

Benefits

Comp & perks

Summer internship program
Opportunity to work alongside experienced professionals on meaningful projects
Hands-on experience contributing to real products, data solutions, and business outcomes
Experience with modern AI-assisted development tools, including Claude Code
Opportunity to work with generative AI, LLMs, and other emerging technologies
Remote-environment work experience