Data Services & Analytics Intern

LWCC, Louisiana Workers' Compensation Corporation, is a private mutual workers’ comp company. We are dedicated to excellence in execution from underwriting to compassionate care of injured workers. Our purpose is to help Louisiana thrive by bettering our state one business and one worker at a time. LWCC has been consistently recognized by industry leaders and named to the Ward’s 50® group of top-performing insurance companies, supporting our promise to provide safety, security, and stability to businesses in Louisiana. 

Thank you for your interest in LWCC. We invite you to apply, and a member of our team will review your application. To learn more about us, please visit LWCC.com. 

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Overview

LWCC is seeking a Data Services & Analytics Intern to support the Information Technology Data Services and Analytics team. This is a part-time in-office position in Baton Rouge, LA.

This role is designed for a student interested in developing foundational skills aligned with data science, data architecture, and data analytics. The intern will gain hands-on experience working with enterprise data, analytics tools, and business partners while contributing to real-world projects that support data-driven decision-making.

Major Areas of Accountability

• Assist with data analysis, reporting, and dashboard development to support business and IT needs
• Support data preparation, cleansing, and validation activities to improve data quality and usability
• Help document data definitions, metrics, and basic data models used in analytics solutions
• Participate in analytics initiatives, proofs of concept, or improvement efforts involving reporting tools, datasets, or data pipelines

Personality / Working Style

• Alignment with company values, mission, and vision
• Trustworthy, honest, and respectful of data confidentiality
• Demonstrates curiosity, initiative, and a passion for innovation
• Strong verbal and written communication skills
• Ability to multi-task and manage priorities effectively
• Effective time management and organizational skills
• Willingness to learn, ask questions, and accept feedback

Education and Experience

The ideal candidate is a hard-working sophomore, junior, senior, or graduate student who exhibits confidence and is eager to contribute to a collaborative team environment.

We are seeking a student in good academic standing pursuing a degree in Data Science, Analytics, Computer Science, Information Systems, Statistics, Engineering, or a related field. Academic coursework or project experience in the following areas is preferred:

• Data analysis or analytics fundamentals
• SQL, Python, R, or similar programming/query tools
• Data visualization tools (e.g., Power BI, Tableau)
• Introductory understanding of databases, data models, or data integration concepts

The candidate should be able to manage multiple responsibilities while delivering high-quality work and maintaining attention to detail.