Business Intelligence Analyst I

Snap-on Inc•Kenosha, WI
•Onsite

About The Position

The Business Intelligence Analyst I designs, builds, and supports reporting and analytics solutions of moderate complexity. The role works with business partners to clarify needs, develops Power BI reports and data models, and helps ensure that decision-making data is accurate, timely, and well-documented. The analyst works with some independence while receiving guidance from senior analysts on design, standards, and priorities. This position is onsite at the Corporate Headquarters in Kenosha, Wisconsin.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Management Information Systems, or a closely related field; equivalent work experience is acceptable in place of this requirement.
  • 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, including tables, joins, keys, measures, and dimensions.
  • Ability to organize work, manage multiple requests, and communicate clearly with technical and non-technical stakeholders.

Nice To Haves

  • A bachelor’s degree in a specifically related field.
  • 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 shared or certified datasets.

Responsibilities

  • Translate business requirements into report specifications, including metrics, filters, and visual layouts.
  • Develop and maintain Power BI dashboards, paginated reports, and reusable datasets in accordance with BI team standards.
  • Create and optimize basic to moderately complex data models and DAX measures for reporting.
  • Write and maintain SQL queries or use curated data models to retrieve and transform data for reporting.
  • Test and validate new and updated reports, including reconciling data against source systems.
  • Monitor report refreshes and usage, and assist with troubleshooting performance or data quality issues.
  • Document 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 BI team standards, templates, and best practices, and participate in peer reviews.
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