Data Analytics, Intern

Jacksonville Jaguars•Jacksonville, FL

3d•Onsite

About The Position

The Jacksonville Jaguars are committed to developing talent and interest in professional sports. An internship at the Jaguars will provide you the chance to explore your career interests, acquire marketable job skills while “learning the ropes” of the industry, establish professional contacts, and gain practical “hands on” experience while working at the highest level of professional sports. Jaguars’ internships offer meaningful educational work experiences designed to meet your academic and career goals. Management and staff will teach and encourage, but it’s up to you to bring an enthusiasm to learn. Through this program, you will identify learning goals and work with the Jaguars management to achieve those goals. The Data Analytics, Intern will support the Analytics team in improving data driven decisions across the organization. This role involves analyzing business data, creating visualizations, and generating insights to enhance sponsorship and marketing. Interns will gain experience with analytics tools, cloud platforms, and cross department collaboration.

Requirements

Must be currently pursuing an undergraduate or graduate degree (Business Analytics, Data Science, Statistics, Marketing, or a related field) OR have graduated within 18 months of the internship start date.
Strong proficiency in SQL; experience with Excel and data visualization tools (e.g., Tableau, Power BI).
Passion for sports and curiosity about fan behavior and business strategy.
Strong organizational skills with the ability to prioritize tasks effectively.
A collaborative mindset and enthusiasm for team-based work.
High attention to detail and accuracy.
Ability to work in a fast-paced environment.
Availability to work onsite in Jacksonville, Florida for the entirety of the internship.

Nice To Haves

Prior internship, academic project, or coursework involving data analysis or visualization.

Responsibilities

Assist in building and refining fan segmentation models using SQL and other data tools.
Analyze ticketing, email engagement, and demographic data to support targeted marketing campaigns.
Conduct sponsorship due diligence for potential partners.
Develop dashboards and visualizations to communicate insights to internal stakeholders.
Support ad hoc reporting requests and cross-functional projects.
Collaborating with data analysts, and key stakeholders to understand business needs.