How You'll Help Us Keep Climbing (Overview & Key Responsibilities)
Delta is expanding its wellness data science, data engineering, and reporting capabilities, unlocking initiatives that drive improvements in the health and wellness of our employees, their families, and our customers.
The Delta Wellness Data Science Graduate Intern will develop analyses of data that provide key insights and takeaways into the wellness ecosystem at Delta. This will encompass using programming methods to explore and merge data from wellness resources, creating analyses, and communicating results through presenting, reporting, and visualization.
In addition, this role will provide ad-hoc support for reporting and data inquiries related to wellness data.
A successful candidate will espouse Delta's core values of Honesty, Integrity, Respect, and Perseverance. Additionally, they will exhibit strong analytical and technical skills, a bias for action, and the ability to partner with others to create results. Data-driven insights are crucial to forming business decisions around wellness at Delta, and this position will require a curious learner whose responsibilities will be to generate insights around wellness resources. A successful candidate will also have strong programming and analytical skills - finding ways to creatively and effectively explore and summarize data.
Primary Functions
- Locate, extract, and combine data from a variety of sources into single, analyzable datasets
- Summarize analysis data using statistical, tabular, and visualization methods
- Utilize analytical tools to measure relationships between predictor variables and outcomes of interest
- Assemble reports of analysis results, summarizing key takeaways and insights while answering business questions around employee wellness
- Maintain and continually improve analyses and reports based on input from key stakeholders
- Identify and continually seek to improve data and tools available to Delta as a part of the Delta Wellness platform
What You Need To Succeed (Minimum Qualifications)
- Working as an intern does not guarantee a full-time opportunity upon graduation. This position is intended to provide you with educational, and professional work experience to prepare you for the workforce.
- You cannot actively take any courses (inclusive of online or in-person) and work as an intern at the same time, which may delay your graduation.
- Currently pursuing a Graduate degree ideally in Data Science, Statistics, Computer/Information Science, Mathematics, or another relevant quantitative field
- Must commit to the internship timeline: May 18th, 2026, through August 7, 2026.
- Must be able to work onsite in the Atlanta, GA office.
- 1+ years of R, Python, or other programming/scripting languages
- 1+ years of SQL experience and an understanding of efficient query practices
- 1+ years of experience in data analysis, statistics, data mining, machine learning, information science, or another relevant quantitative field
- Functional understanding of basic and object-oriented programming concepts (loops, conditionals, variables, functions, multi-dimensional arrays)
- Must be comfortable working in group and individual settings
- Understanding of cloud computing technologies like AWS
- Consistently prioritizes safety and security of self, others, and personal data.
- Embraces diverse people, thinking, and styles.
- Possesses a high school diploma, GED, or high school equivalency.
- Is at least 18 years of age and has authorization to work in the United States.
What Will Give You a Competitive Edge (Preferred Qualifications)
Benefits and Perks to Help You Keep Climbing
