Entry-Level Data Analyst

Freedomroads•Chicago, IL

4d•$64,575 - $94,185

About The Position

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 employees 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.

Requirements

Bachelor's degree in Mathematics, Statistics, Economics, Accounting, Data Science, Business Analytics, or a related field.
Experience with SQL, Excel, and other data analysis tools.
Strong programming skills in Python or R.
Strong analytical skills, with the ability to translate complex data into actionable insights.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Detail-oriented mindset with a commitment to data accuracy and integrity.
Ability to work independently and collaboratively in a complex industry.

Nice To Haves

A Master's degree in Economics, Statistics, Computer Science, or Hard Sciences is preferred.
Experience with Power BI is preferred.
Business domain knowledge of Retail, Marketing, Finance, or Supply Chain is preferred.

Responsibilities

Collect, clean, and prepare data for analysis.
Analyze data to identify trends, patterns, and insights.
Develop and implement data models and algorithms.
Communicate findings to stakeholders in a clear and concise manner.
Develop and maintain data visualization dashboards.
Stay up-to-date on the latest data analysis techniques and tools.
Develop and maintain analyses to track key performance indicators (KPIs) related to website traffic, user behavior, product pathing, and conversion rates.
Define and implement customer segmentation strategies based on demographic, behavioral, and transactional data.
Merge disparate data sources to create a unified view of customer behavior and preferences.
Apply statistical techniques to analyze large datasets and extract meaningful insights.
Identify correlations, causations, and predictive patterns to inform strategic decision-making.
Assess data quality and consistency, and develop strategies for data cleansing and normalization.
Implement data validation procedures to ensure accuracy and reliability of analysis results.
Work closely with other departments to resolve data quality issues and optimize data collection processes.
Prepare clear and concise reports, presentations, and visualizations to communicate insights to executive stakeholders.
Tailor insights to address specific business objectives and decision-making needs.
Present findings in a compelling manner, highlighting actionable recommendations and potential business impact.