Business Analytics Intern

Novacore•Conshohocken, PA

4d•Hybrid

About The Position

Novacore is seeking high-performing college students interested in learning and gaining hands-on experience in business analytics through its 2027 Summer Internship Program. This paid internship includes mentorship, peer interaction, project work, executive visibility, volunteer opportunities, and networking events. The program runs from May 17 through August 5. It is hybrid, with three days onsite at the Conshohocken, Pennsylvania, Home Office and two days working from home. The intern will support analytics work for underwriting, claims, and finance stakeholders, including reporting, querying and validating data, quality checks, documentation, project testing, and market research.

Requirements

Be a college student; sophomore or junior standing is preferred.
Intermediate Excel skills are required.
Demonstrate strong attention to detail and analytical thinking.
Be comfortable working independently across multiple deadlines and be curious about how insurance data drives decisions.
Have strong verbal and written communication skills.
Thrive in a fast-paced environment, learn new tools quickly, and work well on a team.

Nice To Haves

Majoring in Data Analytics, Statistics, Information Systems, Finance, Math, or Risk Management.
SQL and Power BI experience; these are preferred but not required, and training will be provided.

Responsibilities

Build and maintain reports and dashboards in Power BI and Excel for underwriting, claims, and finance stakeholders.
Write SQL queries to pull, clean, and validate data from the enterprise data warehouse.
Support data quality checks by reconciling premium, exposure, and loss figures between source systems and reports.
Document data definitions, report logic, and processes, including process maps and requirement notes.
Assist analysts on active projects, including testing new reports and data feeds and validating that outputs meet requirements.
Conduct market and benchmarking research to support program performance analysis.