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Tech & Ops Program Summer 2026 – Operations & Analytics Intern (Charlotte)

Hartford

Tech & Ops Program Summer 2026 – Operations & Analytics Intern (Charlotte)

Hartford

Charlotte, NC

·

On-site

·

Internship

·

1w ago

Required Skills

Communication

Analytical thinking

Collaboration

Critical thinking

  • Student Intern
  • HHSIAN

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Tech & Ops Program Summer 2026 – Operations & Analytics Intern

Program Overview

At The Hartford, we foster an inclusive and collaborative environment where every voice is valued. Our culture is built on a foundation of integrity, innovation, and a customer-first mindset. We believe in empowering our employees to grow professionally and personally through continuous learning, mentorship, and meaningful work. Teamwork is at the heart of everything we do, and we are committed to creating a workplace where diverse perspectives drive better outcomes. As an intern, you’ll experience a culture that encourages curiosity, celebrates achievements, and supports your journey to becoming a future contributor in technology and operations.

Company Culture

The Hartford’s Technology, Data, and Operations organization is excited to offer an immersive summer program designed to help students explore career paths in software engineering, data engineering, cybersecurity, AI, data analytics, data science and technology operations within the insurance industry.
Interns will engage in meaningful work, mentorship, and experience with an emphasis on professional growth and development, and networking opportunities.

This role is a hybrid position in Charlotte, NC. Candidates must be authorized to work in the US without company sponsorship now or in the future.

What You'll Gain:

  • 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

Key Responsibilities

  • 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

Qualifications

  • 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, Co Pilot)
  • 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

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

  • Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Our Culture | What It’s Like to Work Here | Perks & Benefits

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About Hartford

Hartford

Hartford

Bootstrapped

An e-store that retails different types of clothes and accessories for men, women, and children.

51-200

Employees

Paris

Headquarters

Reviews

3.8

9 reviews

Work Life Balance

2.8

Compensation

2.5

Culture

3.9

Career

3.2

Management

3.1

67%

Recommend to a Friend

Pros

Great training programs

Good company culture and work environment

Supportive and accessible management

Cons

Management issues and instability

Low compensation and merit increases

High call volume and long hours

Salary Ranges

29 data points

Mid/L4

Senior/L5

Mid/L4 · BUSINESS INTELLIGENCE DEVELOPER

1 reports

$107,484

total / year

Base

$82,680

Stock

-

Bonus

-

$107,484

$107,484

Interview Experience

3 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 67%

Negative 33%

Interview Process

1

Phone Interview

2

Video Interview

3

Analyst Interview

4

Trader Interview

5

Vice President Interview