Pay
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
In pursuit of or a recent graduate with a Master’s degree in Data Science, Statistics, Computer Science, or a closely related field
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.
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.
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.
Data Manipulation & Wrangling: Skilled in working with data in various formats (CSV, JSON, SQL databases). Ability to clean, preprocess, and transform data. Proficient in writing SQL.
Ability to share information and knowledge, offering support and cooperation.
Ability to work in our Chicago or Lincolnshire office for the summer term. Camping World does not provide relocation or housing stipends.
Ability to work in fast-paced environment with ability to multitask
Experience with software and web development
Education: - 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.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$94.4K–$145K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,036 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 5 and day 43.
From 14,714 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- Data Manipulation & Wrangling: Skilled in working with data in various formats (CSV, JSON, SQL databases). Ability to clean, preprocess, and transform data. Proficient in writing SQL. - Programming: Proficiency in programming languages such as Python or R to manipulate, analyze, and visualize data. - Data Visualization: Minimum 1 year of development experience with Microsoft Power BI or similar tools to communicate insights effectively.
Technical Skills - Data Manipulation & Wrangling: Skilled in working with data in various formats (CSV, JSON, SQL databases). Ability to clean, preprocess, and transform data. Proficient in writing SQL. - Programming: Proficiency in programming languages such as Python or R to manipulate, analyze, and visualize data.
- Machine Learning: Familiarity with machine learning algorithms. Understand the basics of supervised and unsupervised learning, feature selection, and model evaluation. - Cloud & Big Data: 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. - Mathematics: A solid understanding of linear algebra and calculus.
- Participate in Capstone Internship Project including a final presentation to Executive Leadership - Sufficient knowledge of Microsoft Office: Suite: (Word, Excel, PowerPoint, Outlook) - Experience with software and web development
- 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.
- Programming: Proficiency in programming languages such as Python or R to manipulate, analyze, and visualize data. - Data Visualization: Minimum 1 year of development experience with Microsoft Power BI or similar tools to communicate insights effectively. - Statistical Analysis: A strong foundation in statistics, including hypothesis testing, regression analysis, and probability theory.
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New Analyst postings at the employers we follow are up 23% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Analyst, by the work the posting describes.
Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.
Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.
Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.
Summer 2027 Internship | Data Analyst, AI & Machine Learning Focus
School Year: Graduate Students
Dates of the Internship: June7th-August 13th (10 weeks)
Format: Hybrid in Lincolnshire, Illinois or Chicago, IL (Employees work in the office Monday, Tuesday, and Wednesday, with the option to work from home on Thursday and Friday).
About the role:
Camping World is looking for a Data Analyst intern for the summer of 2027 to work closely with the Data Management Office (DMO) and Data Science teams. We are looking for a driven individual who has foundational experience in data analysis but possesses a strong curiosity and capability to lean into artificial intelligence as a career. You will assist with daily operations and also be immersed in forward-looking AI projects. If you are eager to learn, have a strong interest in the future of data, and want to develop yourself as a professional at the intersection of analytics and AI, this is the ideal role for you.
What You’ll Do:
What You’ll Need to have for the Role:
Technical Skills
Other Skills
Education:
General Compensation Disclosure
The pay range for this role considers several factors in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Camping World, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the factors stated. A reasonable estimate of the current range is listed below.

Pay Range:

In addition to competitive pay, we offer Paid Time Off, 401(k), an Employee Assistance Program, Good Sam Roadside Assistance, discounts, paid parental leave (if eligibility is met), Tuition Reimbursement (if eligibility is met), and on the job training opportunities. Full-time associates are offered a comprehensive benefit package including medical, dental, vision and more! Part-time associates are offered access to dental & vision coverage! For more information please visit: www.mycampingworldbenefits.com
We are an equal employment opportunity employer. The Company's policy is not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, veteran or uniformed service-member status, genetic information, or any other basis protected by applicable federal, state, or local laws.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Chicago, IL
Summer 2027 Internship | Data Analyst, AI & Machine Learning Focus School Year: Graduate Students Dates of the Internship: June7th-August 13th (10 weeks) Format: Hybrid in Lincolnshire, Illinois or Chicago, IL (Employees work in the office Monday, Tuesday, and Wednesday, with the option to work from home on Thursday and Friday). About the role: Camping World is looking for a Data Analyst intern for the summer of 2027 to work closely with the Data Management Office (DMO) and Data Science teams. We are looking for a driven individual who has foundational experience in data analysis but possesses a strong curiosity and capability to lean into artificial intelligence as a career. You will assist with daily operations and also be immersed in forward-looking AI projects. If you are eager to learn, have a strong interest in the future of data, and want to develop yourself as a professional at the intersection of analytics and AI, this is the ideal role for you.
No clear work-authorization passage found. Eligibility is unconfirmed.