Sales Operations - Business Intelligence Engineer II

Milwaukee Tool•Milwaukee, WI

6d•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent experience).
3+ years of experience in BI development, data analytics, or data visualization roles.
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.
Experience working within Agile development processes, including participating in sprint planning, reviews, and backlog grooming.
Ability to interpret trends and communicate basic insights to stakeholders.
Demonstrates a growing understanding of business processes and how analytics influence decisions.

Nice To Haves

Familiarity with Azure DevOps for managing workflows, integrating with Power BI, and streamlining project pipelines.
Exposure to using Git for source control, versioning, and collaboration on BI or analytics assets.
Ability to use Power Automate to enhance reporting processes by automating repetitive tasks and improving data workflows within the Microsoft ecosystem.
Familiarity with tools like Databricks Unity Catalog or Azure Purview for managing data governance, lineage, and quality across the organization’s data assets.
Experience creating or implementing custom visuals in Power BI to deliver more tailored and impactful reports.

Responsibilities

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.
Build reports and dashboards in Power BI, Databricks and similar tools, that provide operational visibility and provide data-driven business decisions.
Collaborate with stakeholders to gather and clarify reporting and data needs that align with strategic goals and objectives.
Participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.
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.
Contribute to the design of semantic models and datasets that are performant, reusable, and easy to understand.
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.
Debug and resolve issues or data inconsistencies using structured investigation.
Actively grow your BI tool expertise and share learnings with the team and cross-functional partners.