JOB REQUIREMENTS: Create and build robust data models to support end user\'s analysis and decision making across multiple business verticals. This includes both end-to-end architecting and business solutioning as it relates to BI tooling. Leverage deep technical knowledge of the Azure Intelligence Platform to build robust, reusable data models. Work with the business units & IT solution delivery to understand their department\'s business intelligence requirements, formulate use cases, and then architect their needs into effective enterprise-grade self-service BI data models. Effectively communicate and interact with business and technical personnel in solving complex data related business and technical problems in collaboration with other members of the Data & Analytics team. Monitor business intelligence eco-system and identify opportunities to make enhancements. Provide ongoing support for all current BI projects and provide status updates to management as needed. Ensure BI processes run and complete on a timely basis to ensure business continuity. Adhere to timelines and excel in a fast-paced, high-energy environment. Facilitate upskilling and training initiatives to promote Milwaukee Tool\'s data culture and ensure best practices are being followed. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Develop, document, and administer best practices for managing training, workspaces, reporting, datasets, connections, and other BI related content. Mentor and coach other BI engineers when hitting roadblocks or on best practices. ***** OTHER EXPERIENCE AND QUALIFICATIONS: Master\'s or equivalent degree in Computer Science or related technical field and 4 years of relevant experience or Bachelor\'s or equivalent degree in Computer Science or related technical field and 6 years of relevant experience. Experience must include: Building large tabular models following best practices (star schema or snowflake design) using Visual Studio or Tabular Editor. SQL (MS SQL, T-SQL, PostgreSQL, or SPARQL) with ETL development and data warehousing. Data visualization (Power BI, Tableau, Python/R, or Looker) with designing and delivering cross functional custom analytical solutions. Software Development Life Cycle (SLDC) using DevOps or a similar deployment application. Ensure data accuracy and data integrity by proactively identifying problems/issues. Cloud Experience (AWS, Azure or Google Cloud Platform). Administer large-scale PowerBI Platforms. Position can be fully remote. ***** APPLICATION INSTRUCTIONS: Apply Online: milwaukeetool.jobs