Associate Analytics Engineer

Kenosha, WI - Near Milwaukee, WI and Chicago, IL
2300 60th Street
Kenosha, WI 53140, USA

At Jockey, caring is our responsibility. It’s the fabric of who we are and drives everything we do. It drives us to listen, innovate, and improve. To design thoughtfully. To craft skillfully. To give back wholeheartedly. Founded in 1876, Jockey is a family-owned company recognized the world over for delivering feel-good comfort. Our premium apparel is sold in more than 140 countries and our commitment to quality, innovation, and customer service is legendary.

We believe that extraordinary service comes from the heart and is delivered by extraordinary individuals! Is that you?

Jockey is seeking an Associate
Analytics
Engineer to join our Enterprise Analytics Team!

The Associate Analytics Engineer provides clean data sets to end users, modeling data that enables end users to answer their data questions. This role is responsible for transforming, testing, deploying, and documenting data within the data lake. The engineer will apply software engineering best practices such as version control and continuous integration to the analytics code base. This role is expected to collaborate with business users, analysts, and other engineering resources to build out enhanced data capabilities that drive improved business outcomes.

• Work within data science, core platform engineering, to develop data pipelines in SQL and python that acquire, process, and deliver data to end users across Jockey.
• Build and maintain dashboards, reporting, and self-service analytical tools using platforms such as Tableau or Sigma
• Collaborate with different stakeholders, such as, data scientists, ML engineers, analysts, and business users to understand data use cases and requirements.
• Ensure data quality, integrity, and consistency across reporting and analytical environments
• Expand our data warehouse with clean data, ready for analysis or downstream ML use cases.
• Optimize SQL queries to ensure optimal performance and adherence to data governance and quality standards.
• Translate business requirements into technical specifications.
• Continuously learn and apply new analytical tools, technologies, and business knowledge
• Support ongoing improvements to reporting processes, analytical capabilities, and data architecture
• Other job duties as assigned

REQUIRED:

• Internship, academic project, or professional experience involving data analysis, business intelligence, or analytics
• Working knowledge of SQL and experience querying and analyzing data
• Experience building dashboards and visualizations using tools such as Tableau, Sigma, Power BI or similar platforms
• Strong analytical skills and an active problem solver
• Demonstrated attention to detail and commitment to data accuracy
• Ability to learn quickly and manage multiple priorities in a fast-paced environment

PREFERRED:

• Bachelor's degree in Data Analytics, Business Administration, Supply Chain, Economics, Finance, Statistics, Information Systems or a related quantitative field
• Exposure to dbt or other modern data transformation frameworks
• Exposure to cloud data platforms such as Databricks, Snowflake, Big Query, or similar technologies
• Experience with data modeling, reporting, or statistical analysis through coursework, internships, or prior work experience
• Experience working with supply chain, retail, apparel, consumer goods, or manufacturing data

In return for your expertise,
JOCKEY offers a competitive and comprehensive flexible benefits package which includes Medical/Dental/Life/Vision, 401(k), educational support, paid Volunteerism program, fitness club discounts, onsite health & wellness programs, generous employee discounts, a business casual work environment, a challenging work environment and exciting career growth opportunities!

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights notice from the Department of Labor.