Co-Op, Customer Intelligence & Personalization (Spring 2027)

About the job
How You'll Help Us Keep Climbing (Overview & Key Responsibilities)

The Customer Intelligence & Personalization organization is seeking highly motivated and data curious individuals who are excited to leverage data to improve customer experiences. This team prioritizes Delta’s enterprise customer experience (CX) initiatives, in service of our CX strategy, using insights from customer listening and associated analytics. Further, the team ensures CX initiative design leverages best practices, furthers personalization as our latest strategic competitive advantage, and delivers impact as intended.

As a co-op of the CX Intelligence & Personalization organization, you will work closely with our experienced team to gain hands-on experience in analyzing data, generating insights, and contributing to real-world projects. If you have a passion for data-driven decision-making, this position is the opportunity for you.

Customer Intelligence & Personalization co-ops will work with analytics professionals supporting one of the following functions or departments:

Customer Data & Analytics: Customer listening strategy & governance, CX data infrastructure for decision support & CX data products that drive value in support of Delta pillars.

Customer Insights & Advisory: Focused on deepening the understanding of consumers and championing their needs before, during, and after they engage with Delta including consumer research and insight, Delta’s NPS performance program, competitive benchmarking, and CX prioritization. Bringing the voice of the customer to where decisions are made by consulting, connecting, and quantifying actionable, consumer-centric insights.

Customer Strategy & Personalization: Support Delta’s CX strategy by communicating the CX narrative, managing and prioritizing the portfolio of initiatives, and connecting teams across the organization to measure and deliver impact. Manage cross-org integration forums and lead design standardization and change management Centers of Excellence. Represent the voice of the customer in designing end-to-end experiences as practitioners nested in the principles of scalability, omnichannel-thinking and a keen lens on personalization.

Customer & Marketing Technology: Transforming customer data into intelligent signals, by unifying customer data, building out process and enrichment, building intelligence and predictions, and creating activated plans for personalized experiences.

Customer Intelligence & Personalization Is Seeking Co-ops To Fulfill a Minimum Of Three Full-time Alternating Rotations Based In Atlanta, GA, In Line With The Schedule Below
1st Rotation: Spring 2027
2nd Rotation: Fall 2027
3rd Rotation: Summer 2028
Though individual responsibilities will vary by function, some examples include:
Research, analyze, and interpret customer data
Measure KPI performance and its impact on customer satisfaction
Develop new reports and dashboards and/or enhancing automation of manual processes
Perform root-cause analysis of customer pain points
Work closely with stakeholders to understand data needs and provide analyses
Leverage and query cross-divisional data sources to answer business questions
Communicate and coordinate with key stakeholders across the organization to share priorities, roadmap, and key learnings
Develop effective presentations to share findings and recommendations to leaders
What You Need To Succeed (Minimum Qualifications)
Currently pursuing a bachelor’s degree that has the flexibility to support a co-op role
Proficiency in Microsoft Office tools (i.e., Excel, PowerPoint, Word)
Experience or a demonstrated interest in data analysis and coding, preferably SQL (while some roles my require specific coding skills such as Python)
Build strong working relationships with coworkers, partners, and company leadership
Self-motivated, intellectually curious, and results oriented; capable of meeting deadlines and follow-through
Must be available for 3 alternating co-op terms
What Will Give You a Competitive Edge (Preferred Qualifications)
Currently pursuing a bachelor’s degree in Engineering, Computer Science, Data Science, Business/Management, Mathematics/Statistics, Economics or related quantitative field
Some positions may require a minimum of 30 completed semester hours
Experience performing statistical analysis and modeling (i.e., linear regression, segmentation, non-linear predictive regression, operations research, and/or machine learning)
Experience with coding software (i.e., SQL, SAS, C, Python, VBA, R, etc.)
Course work in statistics, data science, computer science, operations research, marketing, etc.