Business Intelligence Analyst I

Kenosha, WI, US

Full-time

Onsite

Entry Level

Snap-on is a company focused on providing high-quality tools and equipment. They are seeking a Business Intelligence Analyst I to design, build, and support reporting and analytics solutions while collaborating with business partners to ensure data accuracy and timeliness.

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Responsibilities

Translate business requirements into clear report specifications, including metrics, filters, and visual layouts
Develop and maintain Power BI dashboards, paginated reports, and reusable datasets following BI team standards
Create and optimize basic to moderately complex data models and DAX measures to support reporting needs
Write and maintain SQL queries or use existing curated data models to retrieve and transform data for reporting
Perform thorough testing and validation of all new and updated reports, including data reconciliation to source systems
Monitor report refreshes and usage; assist in troubleshooting performance or data quality issues
Maintain documentation for owned reports, datasets, and data transformations, including data definitions and lineage
Collaborate with data engineering, application, and business teams to resolve data issues and improve data readiness
Contribute to the BI team’s standards, templates, and best practices; participate in peer reviews

Qualification

Required

Bachelor's degree in Computer Science, Information Systems, Data Science, Management Information Systems, or a closely related field
1–4 years of professional experience in business intelligence, reporting, data analysis, or application development
Hands-on experience building reports or dashboards in Power BI or a similar enterprise BI platform
Working knowledge of SQL for querying and validating data
Understanding of basic data modeling concepts (tables, joins, keys, measures, dimensions)
Ability to organize work, manage multiple requests, and communicate clearly with both technical and non-technical stakeholders

Preferred

Experience with Power BI semantic models, row-level security, and performance optimization
Exposure to enterprise data warehouse or cloud data platforms
Experience working within a structured SDLC, using tools such as Azure DevOps, Jira, or similar
Familiarity with data governance concepts and the use of shared or certified datasets