Fortune Brands Innovations, Inc. is an industry-leading home, security and digital products company. We’re focused on exciting opportunities within the home, security and commercial building markets. Our driving purpose is to elevate every life by transforming spaces into havens. We believe our work and our brands can have incredibly positive impacts for not just our business and shareholders, but for people and the planet, too.
At Fortune Brands, we’re building something big. We’re advancing exciting innovations in all of our products and processes. We’re delivering trust, dependability, sustainability, and style. To make it all happen, we’ve transformed our workplace into an environment where smart, ambitious people have the support to reach their fullest potential.
When you join Fortune Brands, you become part of a high-performing team empowered to think big, learn fast and make bold decisions. We support an inclusive culture where everyone is encouraged be their authentic selves, and where our differences and unique perspectives are a key strength.
Explore life at Fortune Brands here.
The Senior Supply Chain Data Analyst will play a critical role in Fortune Brands Innovations’ Digital Transformation group, leveraging advanced analytics to optimize supply chain performance and enable data-driven decision-making. This role will partner with supply chain leaders, IT, and commercial teams to design and implement solutions that improve efficiency, reduce costs, and support strategic growth initiatives.
Position Location: This role is eligible for a hybrid work schedule. Associates are required in office (Deerfield, IL) Tues-Thurs with the option to work remotely Monday & Friday.
RESPONSIBILITIES:
- Develop and maintain advanced analytics models to support supply chain planning, inventory optimization, and lifecycle management.
- Design and deliver dashboards, KPIs, and reporting tools using BI platforms (e.g., Tableau, Power BI).
- Perform deep-dive analysis on supply chain data to identify trends, risks, and opportunities for improvement.
- Support digital transformation initiatives such as S&OP optimization, network modeling, and digital twin projects.
- Collaborate cross-functionally with demand planning, procurement, logistics, and IT teams to ensure alignment of analytics solutions with business objectives.
- Implement predictive and prescriptive analytics techniques to