Data Analyst Intern

Camping World Holdings, Inc. • Chicago, IL

2d • Hybrid

About The Position

Camping World is seeking a graduate student or recent graduate for a 10-week summer 2027 Data Analyst internship focused on AI and machine learning. The intern will work with the Data Management Office (DMO) and Data Science teams, supporting daily data operations while contributing to forward-looking AI projects. The role is intended for someone with foundational data analysis experience, curiosity about artificial intelligence, and an interest in developing a career at the intersection of analytics and AI.

The internship runs June 7 through August 13, 2027, and is hybrid in Lincolnshire or Chicago, Illinois. Employees work in the office Monday through Wednesday and may work from home Thursday and Friday. Interns must be able to work in one of those offices for the summer; relocation or housing stipends are not provided. The intern will also participate in a capstone internship project and present the final project to executive leadership.

Requirements

• Be pursuing or have recently graduated with a master's degree in Data Science, Statistics, Computer Science, or a closely related field.
• Have a cumulative GPA of at least 3.0.
• Have a graduation date between December 2026 and July 2028.
• Be able to work in the Chicago or Lincolnshire office during the summer term; relocation and housing stipends are not provided.
• Have experience with data in formats such as CSV, JSON, and SQL databases, including cleaning, preprocessing, and transforming data.
• Be proficient in SQL.
• Be proficient in Python or R for data manipulation, analysis, and visualization.
• Have at least one year of development experience with Microsoft Power BI or similar data visualization tools.
• Have a strong foundation in statistics, including hypothesis testing, regression analysis, and probability theory.
• Understand machine learning fundamentals, including supervised and unsupervised learning, feature selection, and model evaluation.
• Have a solid understanding of linear algebra and calculus.
• Have sufficient knowledge of Microsoft Office, including Word, Excel, PowerPoint, and Outlook.
• Have experience with software and web development.
• Have strong troubleshooting, data interpretation, and technical skills, and knowledge of information technology such as databases, system security, and troubleshooting.
• Maintain a professional demeanor and strict confidentiality; be diligent, organized, and extremely detail-oriented.
• Anticipate problems, resistance, or likely objections and take action to resolve them.
• Execute duties in a timely and efficient manner; share information and knowledge and offer support and cooperation.
• Work well on teams and independently, and thrive in a fast-paced, high-growth environment while multitasking.
• Demonstrate analytical, critical-thinking, and problem-solving skills; a passion for data analytics; strong written and verbal communication; and a strong work ethic, including research and note-taking skills.

Nice To Haves

• Exposure to a major cloud platform such as Azure, AWS, or GCP.
• Basic knowledge of big data technologies such as Hadoop, Spark, or Hive.

Responsibilities

• Organize, validate, and analyze large, complex datasets using programming software to meet business requirements.
• Support DMO data validation by comparing and verifying report metrics.
• Complete small data engineering tasks using SQL and Python, and conduct data analysis to test hypotheses using analytics and visualization.
• Collaborate with Data Scientists on forecasting, anomaly detection, and machine learning model implementation.
• Build analytical tools and Power BI dashboards that provide insight into business performance metrics.
• Identify and implement process improvements, including scalable infrastructure redesign, optimized data delivery, and automation of manual processes.
• Respond to business stakeholder data requests, help resolve data-related technical issues, and communicate insights through data visualization.
• Explore datasets and conduct experiments to validate hypotheses and inform data-driven decisions, particularly by identifying opportunities for AI applications.
• Undertake individual projects to build knowledge of machine learning, big data technologies, and AI implementation.
• Participate in a capstone internship project and present the final project to executive leadership.

Benefits

• Paid time off
• 401(k)
• Employee Assistance Program
• Good Sam Roadside Assistance
• Discounts
• Paid parental leave, if eligibility requirements are met
• Tuition reimbursement, if eligibility requirements are met
• On-the-job training opportunities
• Full-time associates are offered medical, dental, vision, and other benefits; part-time associates are offered access to dental and vision coverage.

What This Job Offers

• Career Level: Intern