
Tech & Ops Program Summer 2026 – Operations & Analytics Intern (Hartford)
- Hartford, CT
- Training
- Full-time
- A challenging assignment supporting a Technology & Operations team
- Develop core competencies in Agile Delivery, DevOps, Business Analysis, Project Management, Process Improvement, and Digital Adoption, with exposure to technology tools and methods aligned to your intended path.
- Mentorship, coaching, feedback, and self-directed learning
- Networking, volunteerism, and employee engagement experiences
- Collaborate with developers, product owners, and business stakeholders to understand business needs
- Presenting findings to key business partners
- Demonstrate initiative, adaptability, and a customer-first mindset
- Undergraduate or graduate students expecting to graduate in May 2027 with a Bachelor’s or Master’s degree and a GPA of 3.0 or higher.
- Desired majors include, but are not limited to: Management Information Systems, Data Analytics, Applied Mathematics, Economics, Industrial Engineering, Operations Research, Informatics, Statistics, or other STEM-related and/or analytical majors.
- Strong communication, analytical, collaboration, and interpersonal skills
- Curiosity and willingness to explore new technologies and challenge assumptions
- Demonstrated ability to analyze complex problems using structured, critical thinking and logical reasoning to develop data-driven solutions
- Ethical Judgment & Integrity: Commitment to responsible data use and understanding of how decisions affect stakeholders and the business.
- Data-Driven Decision Making: Ability to translate complex data into actionable insights that support business goals and improve performance.
- Experience and exposure to some or all of the following:
- Prompt Engineering: Crafting effective prompts for chatbots (e.g., ChatGPT, CoPilot)
- Excel: e.g. creating pivot tables, formulas, data cleaning, charts, tables and graphs
- SQL: Writing queries to extract, filter, and create datasets from relational databases.
- Data Visualization Tools, such as Power BI or Tableau
- Statistics: Understanding distributions, hypothesis testing, regression analysis, etc.
- A/B Testing: Designing and analyzing experiments.
- Data Wrangling: Cleaning and transforming raw data using tools like Pandas (Python) or (R).
- Business Intelligence: Understanding Key Performance Indicators, dashboards, and storytelling with data.
- Agile/Scrum Framework: Experience using Agile tools such as Rally, Jira, Trello is a plus.
- Process Analysis: basic knowledge of frameworks such as Lean, Six Sigma, and process mapping tools such as Visio