Business Intelligence Engineer

Milwaukee Tool•Menomonee Falls, WI

1d•Onsite

About The Position

Business Intelligence Engineer Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position INNOVATE without boundaries! At Milwaukee Tool, we believe our People and our Culture are the keys to our success — so we give you the tools and support to make a real impact. Inside our doors, you will be empowered to build, collaborate, and evolve as part of a fast-paced team that is redefining how data drives decisions across the business. Your Role on Our Team: As a Business Intelligence Engineer, you'll help design and deliver trusted reporting solutions that power decision-making across the Finance Team. You'll work closely with business partners within Finance to gather requirements, provide ongoing support, and offer consultation on how to best leverage data to answer their questions. Along the way, you'll sharpen your technical skills in Power BI, SQL, and data modeling, while learning how financial data connects to the broader business. This role is focused on delivery, quality, and building a strong foundation in modern BI practices — including the responsible use of AI to accelerate insight.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or related field (or equivalent experience).
1-2 years of experience in BI development, data analytics, or data visualization roles including internship experiences.
Hands-on experience with Power BI, Tableau, or Looker. Able to build interactive dashboards and maintain datasets.
Working knowledge of SQL (joins, filters, aggregations, basic CTEs).
Familiarity with dimensional modeling (star/snowflake schema) and semantic layers.
Experience with cloud environments such as Azure, Snowflake, or Databricks for data transformation and modeling.
Comfort working within Agile processes, including sprint planning, reviews, and backlog grooming.
Strong communication skills and growing business acumen, experience in Finance is preferred.
Interest in applying AI tools (e.g., Microsoft Copilot, Power BI Copilot, Databricks Genie and Oracle FDI) to everyday reporting and analytics work in a responsible, governed way.

Nice To Haves

Experience implementing AI technologies preferred.
Familiarity with Azure DevOps for managing workflows, integrating with Power BI and Databricks, and streamlining project pipelines.
Exposure to Git for source control and collaboration on BI/analytics assets.
Ability to automate repetitive reporting tasks within the Microsoft ecosystem.
Familiarity with tools like Databricks Unity Catalog or Azure Purview for lineage, quality, and governance.
Any exposure to Oracle Fusion, ERP data, or financial reporting concepts is a plus.
Hands-on experience with AI features across Milwaukee Tool's stack (Copilot in Power BI, Microsoft Fabric Copilot, Databricks Genie/AI-BI, or Oracle FDI Ask Oracle) and a basic understanding of prompt design and responsible AI practices in a reporting context.

Responsibilities

Build reports and dashboards in Power BI that support key Finance decisions, operational visibility, and executive-level storytelling.
Partner with Finance stakeholders to translate business questions into clear reporting requirements.
Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.
Debug and resolve issues in reporting or data inconsistencies using structured investigation.
Serve as a liaison to IT and participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.
Help maintain documentation for models, metrics definitions, and reporting processes to ensure shared understanding.
Assist in enabling business users through clear documentation, curated datasets, and support for self-service reporting environments.
Communicate insights, progress, and blockers clearly and regularly with cross-functional partners.
Follow best practices for role-based access, data privacy, and report-level security.
Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.
Leverage AI-powered features in BI platforms (e.g., natural language queries, automated insights) to accelerate report creation and data storytelling.