Summer 2023 Internship | Learning & Organizational Effectiveness Data Analyst Intern
Learning and Organizational Effectiveness Data Analyst Intern
Camping World Holdings, Inc., headquartered in Lincolnshire, IL, (together with its subsidiaries) is America’s largest retailer of RVs and related products and services. Our vision is to build a long-term legacy business that makes RVing fun and easy, and our Camping World and Good Sam brands have been serving RV consumers since 1966.
We strive to build long-term value for our customers, employees, and shareholders by combining a unique and comprehensive assortment of RV products and services with a national network of RV dealerships, service centers and customer support centers along with the industry’s most extensive online presence and a highly trained and knowledgeable team of associates serving our customers, the RV lifestyle, and the communities in which we operate. We also believe that our Good Sam organization and family of programs and services uniquely enable us to connect with our customers as stewards of the RV enthusiast community and the RV lifestyle. With RV sales and service locations in 42 states, Camping World has grown to become the prime destinations for everything RV. A career at Camping World is more than a job; it is the chance to make a difference in the RV and outdoor community. Camping World is growing, this is your opportunity.
2023 Summer Internship| L&OE Intern
School Year: Master’s
Dates of Internship: June 1st, 2023 – August 4th, 2023
Format and Location: Hybrid – Chicago, IL
We are seeking a Data Analyst Intern to join our Learning & Organizational Effectiveness (L&OE) team. This individual will report to the Manager of Learning & Development and will be onsite or hybrid (three days a week) at either our corporate offices in Chicago, IL or at one of our 190+ dealerships nationwide. Our Data Analyst intern will be transforming and building reports and dashboards to show measurements for learning execution, learning impact, and business performance results. As part of this internship, you will gain experience extracting appropriate performance metrics and leveraging them to demonstrate the opportunities and successes of our L&OE projects and strategy. Additionally, this role will assist in developing evaluation and assessment methods to measure knowledge transfer, skill and competency development, and performance improvements.
Responsibilities:
- Data Validation: Compare and verify reporting metrics and datasets to ensure the accuracy and identify/resolve any bias or misinformation and the analyses are void of bias or misinformation.
- Data Visualization: Build reports and dashboards that quickly and accurately convey metrics through meaningful visualizations and can be leveraged to improve deliverables for better utilization and effectiveness to drive business results.
- Data Engineering: Acquire datasets that align to learning & performance objectives. Model, build, test, and maintain reports and dashboards within Power BI.
- Learning Evaluation: Through the use of Kirkpatrick techniques, build assessment and evaluation methods to measure satisfaction, knowledge transfer/retention, skill and competency development, performance improvements, and business impact.
Process and Innovation:
- Enhance current processes and systems to drive the learning culture.
- Recommend new tools, processes, and procedures to continually improve the way we analyze gaps or performance deficiencies, build & implement programs, and measure the effectiveness of solutions.
- ·Execute projects quickly, with strong attention to detail and follow-through.
Critical Success Factors:
- Build collaborative and trusting relationships with associates and leaders at all levels.
- Self-motivated and able to work independently while driven to deliver on critical milestones. Proactive, takes initiative, and demonstrates good judgement in a dynamic, changing environment.
- Willingness and ability to adapt to change quickly, with enthusiasm and resourcefulness when tackling unfamiliar tasks and requests.
- Strong attention to detail and thoroughness.
- Strong business acumen, effective consultative techniques, design-thinking & problem-solving skills, and confidence to recommend and deliver solutions.
- Learn quickly, independently acquire knowledge on new subjects in a short timeframe and know when to ask for help.
- Resourceful and energized by new challenges and opportunities
- Effectively manage multiple high-priority projects simultaneously, prioritize own work, and work well under heavy deadlines and pressure in a fast-paced, high-growth environment while maintaining a high level of accuracy, quality, and attention to detail.
- Communicate information in a clear, concise, and compelling manner, orally and in writing, in a style, tone, and manner appropriate for the audience.
- Perform with the highest degree of integrity and confidentiality whilst following through on commitments.
- Responds constructively and positively to feedback and editing.
- Ability to maintain confidential employee and company information.
Education and Experience:
- In pursuit of (or a recent graduate) a master’s degree in Data Science, Statistics, I/O Psychology, Instructional Design, or another related field.
- Experience with Power BI to cleanse and model datasets and extract meaningful insights.
- Experience troubleshooting and knowledgeable in information technology disciplines (relational databases, system security, etc.)
- Extensive experience and expertise with Microsoft 365 (particularly Excel).
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift 15 pounds at times.
- Up to 5% travel required.
Full-time associates are offered a comprehensive benefits package including medical, dental, vision, PTO, 401k, 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.