Business Intelligence Intern (Summer 2026)

SageSure•Jersey City, NJ

About The Position

If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we’re hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking an Intern to join the Rising Pioneer Program as part of our Business Intelligence team. Over the course of this 10-week program, interns will gain tangible, hands-on experience and insight into our business operations. After 3 days of orientation and training, you’ll join our Business Intelligence team where you’ll be assigned projects, with unlimited opportunity for challenges and achievement. We have, very often, considered our interns for post-graduation roles within the company.

Requirements

Currently enrolled in a relevant degree program with a focus on Information Systems, Business Analytics, Computer Science, or a related field with an anticipated graduation date in 2026 or 2027.
Strong communication skills, problem solving, and reasoning skills
Ability to multitask and hungry to learn
Ability to work independently and as a team member
Authorization to work in the United States
Familiarity with SQL for querying and manipulating data.
Exposure to data visualization and BI tools (Tableau, Power BI, Looker, or similar).
Strong analytical and problem-solving skills.
Effective communication skills with the ability to present data clearly.

Nice To Haves

Prior internship experience
GPA of 3.0 or higher
AI experience or coursework (e.g., applied AI, machine learning, natural language processing, or workplace analytics tools).

Responsibilities

Learn and network with employees, leaders, and other interns during an on-the-job experience.
Potential to earn college credit.
Research and analysis support on ad-hoc projects.
Fulfill tasks set out by team leaders.
Receive coaching, mentoring and feedback from knowledgeable SageSure professionals.
Assist with the design, development, and maintenance of dashboards and reports using BI tools (e.g., Tableau, Power BI, Looker).
Work with large datasets to ensure data accuracy, consistency, and quality.
Support ad hoc reporting and analysis requests from business teams.
Collaborate with analysts and data engineers to improve data pipelines and reporting processes.
Document reporting standards, dashboards, and data definitions for future use.
Present findings and recommendations to team members and stakeholders.