Business Intelligence Engineer

About the role

At Milwaukee Tool, we empower our Business Intelligence Engineers to build, collaborate, and evolve as part of a dynamic team that redefines how data drives decisions across the business.

Responsibilities

• Data & Dashboard Development: Build reports and dashboards in Power BI that support key Finance decisions, operational visibility, and executive-level storytelling.
• Collaborative Requirements Gathering: Partner with Finance stakeholders to translate business questions into clear reporting requirements.
• Modeling Support: Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.
• Troubleshooting: Debug and resolve issues in reporting or data inconsistencies using structured investigation.
• Agile Project Execution: 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.
• Documentation: Help maintain documentation for models, metrics definitions, and reporting processes to ensure shared understanding.
• Self-Service Support: Assist in enabling business users through clear documentation, curated datasets, and support for self-service reporting environments.
• Stakeholder Communication: Communicate insights, progress, and blockers clearly and regularly with cross-functional partners.
• Data Governance & Security: Follow best practices for role-based access, data privacy, and report-level security.
• Continuous Learning: Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.
• Leverage AI Solutions: Leverage AI-powered features in BI platforms (e.g., natural language queries, automated insights) to accelerate report creation and data storytelling.

Requirements

• Education: Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Finance, or related field (or equivalent experience).
• Experience: 1-2 years of experience in BI development, data analytics, or data visualization roles including internship experiences.
• BI Tool Expertise: Hands-on experience with Power BI, Tableau, or Looker. Able to build interactive dashboards and maintain datasets.
• SQL: Working knowledge of SQL (joins, filters, aggregations, basic CTEs).
• Data Modeling: Familiarity with dimensional modeling (star/snowflake schema) and semantic layers.
• Cloud & Data Platforms: Experience with cloud environments such as Azure, Snowflake, or Databricks for data transformation and modeling.
• Agile Experience: Comfort working within Agile processes, including sprint planning, reviews, and backlog grooming.
• Business Acumen: Strong communication skills and growing business acumen, experience in Finance is preferred.
• AI Curiosity: 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.
• Azure DevOps: Familiarity with Azure DevOps for managing workflows, integrating with Power BI and Databricks, and streamlining project pipelines.
• Version Control – Git: Exposure to Git for source control and collaboration on BI/analytics assets.
• Power Automate: Ability to automate repetitive reporting tasks within the Microsoft ecosystem.
• Data Governance Tools: Familiarity with tools like Databricks Unity Catalog or Azure Purview for lineage, quality, and governance.
• Finance Systems Exposure: Any exposure to Oracle Fusion, ERP data, or financial reporting concepts is a plus.
• AI-Powered Analytics: 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.

Qualifications

• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Skills

• Technical skills in Power BI, SQL, and data modeling.
• Strong communication and business acumen.
• Interest in and ability to apply AI tools responsibly.
• Experience with Agile methodologies.
• Knowledge of finance systems and concepts.
• Ability to work independently and collaboratively.

Benefits

• Robust health, dental, and vision insurance plans.
• Generous 401(k) savings plan.
• On-site wellness, fitness center, food, and coffee service.
• Many other perks and benefits listed on our benefits site.