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Associate Manager, Supply Chain BI Analytics

Newell Brands - Country United States | Additional Job Posting Location(s)

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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About this role

Associate Manager, Supply Chain BI Analytics Country United States | Additional Job Posting Location(s) Job ID: 15125 Alternate Locations: Additional Job Posting Location(s) Newell Brands is a leading consumer products company with a portfolio of iconic brands like Graco®, Coleman®, Oster®, Rubbermaid®, Sharpie® and Yankee Candle® - and 24,000 talented teammates around the world. Our culture is built on values in action: Integrity, Teamwork, Passion for Winning, Ownership, and Leadership. We work together to win, grow, and make a real impact-supported by a high-performing, inclusive, and collaborative environment where you can be your best, every day. The Associate Manager, BI Analytics will play an integral role in helping the company achieve its ambition by ensuring that Newell Brands is leveraging analytics and applied AI to drive Supply Chain improvements. Reporting to the Manager, BI Analytics within the Newell Global Supply Chain team, the role will be highly visible with impact across all Newell Divisions globally. This role bridges traditional business intelligence with emerging AI engineering capabilities, building production-grade AI systems that translate supply chain business problems into scalable, governed solutions. Specific Responsibilities: Lead and manage complex analytics and AI projects end-to-end, navigating ambiguity and delivering measurable business outcomes. Define data requirements and design ETL/ELT workflows to consolidate multiple ERP sources into a unified Supply Chain data repository, partnering with IT on extraction, cleansing, and pipeline imple

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