Business Data Analyst in Brookfield, Wisconsin

Date Posted: 8/6/2020

Job Snapshot

Employee Type: Full-time
Date Posted: 8/6/2020

Job Description

Milwaukee Tool is continuing to expand, and as the Supply Chain gets faster and more data-driven, we are seeking Business Data Analysts to architect and build solutions that support the exciting business growth. We want Data Scientists that are detailed-oriented, have an entrepreneurial attitude, and won't allow the status-quo to impede on innovation.

The ideal candidate will be able to discuss experiences that include:

  • Reviewing historical sales trends, researching demand drivers, and working with forecast software packages to develop statistical models
  • Effectively communicating and interacting with business and technical personnel in solving complex business problems
  • Working with the end users to understand requirements, formulate use cases, and translate needs into effective technical solutions
  • Participating in brainstorming sessions and contributing ideas to our technology, algorithms, and products
  • Interacting with multiple business units and cross-functional teams to drive consistency and standardization across the enterprise
  • Leveraging both new and existing technologies to create reports, dashboards, scorecards, and visualizations that clearly measure KPIs
  • Analyzing and researching opportunities for improvement, and clearly documenting action steps for desired change

The ideal candidate is required to have:

  • Oral and written communication skills for presentations to all levels of customer and management teams
  • Bachelor's Degree;
  • Fields of Mathematics, Statistics, Computer/Data Science, Supply Chain, or Economics preferred
  • Expert-level knowledge of Microsoft Suite, including Excel, VBA, & PowerPivot
  • Minimum 2 years Business Experience working with Data Warehouses, Data Visualization techniques, & BI Development tools
  • Advanced-level knowledge of SQL Server and relational data
  • Experience developing within Azure technologies (Analysis Services, Data Factory, etc)
  • Experience with programming and computing languages (Power BI, DAX, Python, etc)
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