Sales Operations - Business Intelligence Engineer II

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* Job Description:

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* ** 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 will help design and deliver solutions that enable smarter, faster decisions across functions. You will work closely with business partners to understand analytical needs and contribute to building trusted data assets, reports, and dashboards. You will deepen your technical skill set while growing your understanding of the business and refining how you communicate insights.

** You'll be DISRUPTIVE through these duties and responsibilities:*
* + Leverage AI Solutions:
Leverage AI-powered features, such as natural language queries, automated insights and prompts, in BI platforms to accelerate report creation and deliver actionable business insights.

+ Dashboard Development:
Build reports and dashboards in Power BI, Databricks and similar tools, that provide operational visibility and provide data-driven business decisions.

+ Collaborative Requirements Gathering:
Collaborate with stakeholders to gather and clarify reporting and data needs that align with strategic goals and objectives.

+ Agile Project Execution:
Participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.

+ 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.

+ Modeling Support:
Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.

+ 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.

+ Troubleshooting:
Debug and resolve issues or data inconsistencies using structured investigation.

+ Continuous Learning:
Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.

** The TOOLS you'll bring with you:*
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Education:

Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).

+ Years of

Experience:

3+ years of experience in BI development, data analytics, or data visualization roles.

+ 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:

Experience working within Agile development processes, including participating in sprint planning, reviews, and backlog grooming.

+ Storytelling & Insight Delivery:
Ability to interpret trends and communicate basic insights to stakeholders.

+ Business Acumen:
Demonstrates a growing understanding of business processes and how analytics influence decisions.

** Other TOOLS we prefer you to have:*
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Experience with Azure Dev Ops:
Familiarity with Azure Dev Ops for managing workflows, integrating with Power BI, and streamlining project pipelines.

+ Version Control - Git:
Exposure to using Git for source control, versioning, and collaboration on BI or analytics assets.

+ Knowledge of Power Automate:
Ability to use Power Automate to enhance reporting processes by automating repetitive tasks and improving data workflows within the Microsoft ecosystem.

+ Data Governance Tools:
Familiarity with tools like Databricks Unity Catalog…