Data Analyst Intern

Camping World•Chicago, IL

3h•Hybrid

About The Position

Camping World is seeking a Data Analyst Intern for its Summer 2027 internship to work with the Data Management Office (DMO) and Data Science teams. The intern will support daily data operations and contribute to forward-looking projects involving artificial intelligence and machine learning, while developing professionally at the intersection of analytics and AI. The internship runs for 10 weeks, from June 7 to August 13, 2027. It is hybrid and based in either Lincolnshire, Illinois, or Chicago, Illinois. Employees work in the office Monday through Wednesday and may work from home Thursday and Friday. The intern must be able to work at one of these offices for the summer term. Camping World does not provide relocation or housing stipends. The intern will participate in a capstone internship project and deliver a final presentation to Executive Leadership. The posting describes a pay range but does not provide a numeric amount. Compensation decisions consider factors such as skills, experience, training, licensure, certifications, and business needs.

Requirements

Be pursuing or be a recent graduate with a Master’s degree in Data Science, Statistics, Computer Science, or a closely related field.
Have a cumulative GPA of 3.0.
Have a graduation date between December 2026 and July 2028.
Be able to work in the Chicago or Lincolnshire office for the summer term.
Have data manipulation and wrangling skills with formats such as CSV, JSON, and SQL databases, including cleaning, preprocessing, and transforming data.
Be proficient in writing 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 tools.
Have a strong foundation in statistics, including hypothesis testing, regression analysis, and probability theory.
Be familiar with machine-learning algorithms and the basics of 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 troubleshooting, data interpretation, and technical skills, and knowledge of information technology such as databases and system security.
Maintain a professional demeanor and strict confidentiality.
Be diligent, organized, and extremely detail-oriented.
Demonstrate analytical, critical-thinking, and problem-solving skills and an interest in data analytics.
Have strong written and verbal communication skills.
Demonstrate a strong work ethic and research and note-taking skills.
Be able to multitask and work in a fast-paced environment.
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 effectively on a team and independently.

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 work, including validating report metrics, completing small data-engineering tasks using SQL and Python, and analyzing data to test hypotheses using analytics and visualization.
Partner with Data Scientists on projects involving data forecasting, anomaly detection, and implementing machine-learning models.
Build analytical tools and Power BI dashboards to provide insight into business performance metrics.
Identify, design, and implement process improvements, including improving scalability, optimizing data delivery, and automating manual processes.
Handle data requests from business stakeholders, assist with data-related technical issues, and communicate insights through data visualization.
Explore datasets and run experiments to validate hypotheses and support data-driven decisions, with a focus on opportunities to apply AI.
Complete individual special projects to develop knowledge of machine learning, big data technologies, and AI implementation.
Participate in the Capstone Internship Project and give a final presentation 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
Comprehensive benefits package for full-time associates, including medical, dental, and vision coverage
Part-time associates have access to dental and vision coverage