Analytics Engineer: Data Pipelines & BI Dashboards

Jockey-International; Kenosha (WI); On-site; USD 70,000 - 95,000; Full time

Benefits offered by this job

Health benefits

401(k)

Educational support

Volunteer program

Employee discounts

Wellness programs

Job summary

Jockey-International is seeking an Associate Analytics Engineer to join our Enterprise Analytics Team in Kenosha, WI. You will transform, test, deploy, and document data within the data lake, collaborating with data scientists, analysts, and engineers to enable self-service insights.

Responsibilities include building data pipelines in SQL and Python, developing dashboards in Tableau, Sigma, or Power BI, and expanding a clean data warehouse for analysis and downstream ML use cases.

Qualifications

• Experience analyzing data, building BI solutions, or analytics.
• Strong SQL querying and data analysis skills.
• Experience creating dashboards with Tableau, Sigma or Power BI.

Responsibilities

• Work within data science and core platform engineering to develop data pipelines in SQL and Python that acquire, process, and deliver data.
• Build and maintain dashboards, reporting, and self-service analytical tools using Tableau, Sigma, and Power BI.
• Collaborate with data scientists, analysts, and business users to understand data use cases and requirements.
• Ensure data quality, integrity, and consistency across reporting environments.
• Expand our data warehouse with clean data for analysis and ML use cases.
• Optimize SQL queries to ensure performance and data governance.
• Translate business requirements into technical specifications.
• Continuously learn and apply new analytical tools and techniques.

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Sigma

Power BI

Job description

Jockey-International is seeking an Associate Analytics Engineer to join our Enterprise Analytics Team in Kenosha, WI. You will transform, test, deploy, and document data within the data lake, collaborating with data scientists, analysts, and engineers to enable self-service insights.

Responsibilities include building data pipelines in SQL and Python, developing dashboards in Tableau, Sigma, or Power BI, and expanding a clean data warehouse for analysis and downstream ML use cases.