Camping World is seeking a Data Analytics Engineer to support the work of the RV Pricing team.

In this role, you will perform a variety of tasks related to data and analysis including developing, testing and deploying ETL processes, performing data manipulation and analysis, creating and maintaining software for analytics and reporting, and other technical tasks.

This is an opportunity for a data scientist, data engineer or software developer with varied technical skills and interests to be part of a high performing team of analysts and data scientists. From day one, you will be working with 10s of millions of rows of data which we expect to grow very quickly. You will report to the Director of RV Pricing Strategy.

**The position is hybrid in our Lincolnshire, IL offices. You must be able to work in person on-site at least two days per week. No relocation support is available.

Responsibilities:

Using Python, SQL, and PowerBI to organize and analyze data.Developing and deploying ETL processes to gather data from enterprise systems and external sources using various data delivery mechanisms and APIs.Identifying data sources and cleaning data for analytics work.Implementing best practice data management, version control and other best practices within the team.Working closely with the pricing team to support their current technical needs and identify new technologies which will be valuable for the team and its mission.Perform daily tasks to monitor technical infrastructure and processes and take corrective action as necessary.Take on special projects as needed including data science tasks such as creating analytics and machine learning projects.

Technologies We Currently Use:

Python and related software such as Jupyter, Anaconda, and VS CodeDockerKubernetesMicrosoft SQL ServerSnowflakeMicrosoft Power BIMicrosoft Excel including Power Query and VBA

Must Have Qualifications:

Bachelor's degree in data science, computer science, software development, data engineering, or closely related field.1 – 2 years’ experience in a business organization including…Data science related projects such as data cleaning, EDA, performing statistical analysis, creating visualizations, and machine learning.Data engineering related projects such as designing new databases and data models, writing SQL queries and CRUD routines, and developing ETL pipelines.Software development experience including creating software for non-technical end-users.Strong programming skills in Python for data manipulation and analysis.Knowledge of data warehouse / data lake solutions.Proficiency with Microsoft Office tools (Word, Excel, PowerPoint, Outlook).Strong analytical and problem-solving skills.Good communication and presentation skills.Ability to maintain professional demeanor and strict confidentiality.Ability to work independently to complete assigned tasks.Must be diligent, organized, and extremely detail oriented.

Preferred Qualifications:

Experience creating front-ends for SQL Server and Snowflake based data.Experience with Microsoft analytical tools, including Power BI, Excel, VBA, and Power Query.

Camping World is 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.

Pay Range:

$89,565.00-$134,295.00 Annual

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.