Job Description:
Senior Business Intelligence Engineer
**Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position.
INNOVATE without boundaries!
At Milwaukee Tool, we firmly believe that our People and our Culture are the secrets to our success — so we give you unlimited access to everything you need to make a meaningful impact.
Behind our doors, you’ll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you’ll have the support and resources of the fastest-growing brand in the construction industry to make it happen.
Your Role on Our Team:
As a Senior Business Intelligence Engineer, you will design and deliver analytics products that enable the business to plan, execute, and measure promotions with confidence. You’ll partner closely with Pricing, Sales, Channel Marketing, and Finance to translate business needs into scalable models and visualizations, and ensure consistent, reliable access to trusted data. This role is hands-on and end-to-end: sourcing and modeling promotional data (e.g., promo calendars, promotional pricing, POS sell-through, and forecast/actual performance), building pre- and post-promotion analysis, and helping stakeholders understand promotional lift, ROI, and performance drivers. This role emphasizes strong technical craftsmanship, business acumen, and a growing ability to mentor others and drive data culture.
You’ll be DISRUPTIVE through these duties and responsibilities:
- Promotion Performance Measurement: Quantify lift, cannibalization, halo, and ROI using POS and sales data; define KPI/metric logic that becomes the single source of truth.
- Promotional BI Development: Build and maintain a promotions reporting suite (scalable models, dashboards and reporting) including pre-promo readiness/forecast views and post-promo performance scorecards.
- Collaborative Requirements Gathering: Partner with business users to translate analytics needs into data models and visualization requirements.
- Semantic Layer and Data Modeling: Develop curated promotion-centric data models that connect promotion events to items/SKUs, customers, channels, pricing, funding, and outcomes
balancing performance, flexibility, and governance.
- Root Cause Analysis & Troubleshooting: Investigate and resolve issues in data pipelines and reports, using structured problem-solving and root cause techniques.
- Agile Project Execution: Participate in sprint planning, estimation, reviews, and retrospectives. Break down work into manageable deliverables aligned with business priorities.
- Stakeholder Communication