Data Analyst Intern at Camping World in Lincolnshire, IL

Summary: Camping World is looking for a Data Analyst intern for the summer of 2026 to work closely with the Data Management Office and Data Science teams. The role involves assisting with data operations, engaging in AI projects, and developing analytical tools and dashboards to provide insights into business performance metrics. Responsibilities: - Use various programming software to organize, validate, and analyze large, complex sets of data to meet business requirements - Partner with the DMO team for core tasks including data validation (comparing and verifying report metrics), data engineering (small tasks requiring SQL and Python), and data analysis (proving or disproving hypotheses using data analytics and visualization) - Partner with CW Data Scientists on advanced projects, including data forecasting, anomaly detection, and the implementation of machine learning models - Build analytical tools and dashboards (Power BI) to provide actionable insight into key business performance metrics - Identify, design, and implement internal process improvements: re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes - Handle data requests from business stakeholders, assist with data-related technical issues, and effectively communicate insights through data visualization - Explore new datasets and conduct experiments to validate hypotheses and make data-driven decisions, with a focus on identifying opportunities for AI application - Take on individual special projects as needed to enhance your knowledge in machine learning, big data technologies, and AI implementation Required Qualifications: - In pursuit of or a recent graduate with a Master's degree in Data Science, Statistics, Computer Science, or a closely related field - A cumulative 3.0 GPA - A graduation date between December 2025 - July 2027 - Ability to work in our Chicago or Lincolnshire office for the summer term - Skilled in working with data in various formats (CSV, JSON, SQL databases) - Ability to clean, preprocess, and transform data - Proficient in writing SQL - Proficiency in programming languages such as Python or R to manipulate, analyze, and visualize data - Minimum 1 year of development experience with Microsoft Power BI or similar tools to communicate insights effectively - A strong foundation in statistics, including hypothesis testing, regression analysis, and probability theory - Familiarity with machine learning algorithms - Understand the basics of supervised and unsupervised learning, feature selection, and model evaluation - Exposure to a major Cloud Platform (e.g., Azure, AWS, GCP) and a basic knowledge of big data technologies like Hadoop, Spark, or Hive is beneficial - A solid understanding of linear algebra and calculus - Anticipates problems, resistance or likely objections and takes action to resolve them - Executes duties in a timely, efficient manner - Ability to share information and knowledge, offering support and cooperation - Interacts well on teams and can also work independently Required Skills: Data manipulation, Data wrangling, SQL, Python, R, Data visualization, Power BI, Statistical analysis, Hypothesis testing, Regression analysis, Probability theory, Machine learning, Supervised learning, Unsupervised learning, Feature selection, Model evaluation, Cloud platforms, Big data technologies, Hadoop, Spark, Hive, Linear algebra, Calculus, Timely execution, Information sharing, Problem anticipation, Independent work Benefits: Paid Time Off, 401(k), Employee Assistance Program, Good Sam Roadside Assistance, Discounts, Paid parental leave (if eligibility is met), Tuition Reimbursement (if eligibility is met), On the job training opportunities, Comprehensive benefit package including medical, dental, vision and more, Access to dental & vision coverage