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Regional Sales Manager - Northeast
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- $100,000 to $250,000 USD / year
● You demonstrate the ability to learn and understand software and technology solutions and can communicate the value and features of these systems effectively to prospective buyers.
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Regional Sales Manager - Midwest
MCM
Remote, United States
- $100,000 to $250,000 USD / year
● You demonstrate the ability to learn and understand software and technology solutions and can communicate the value and features of these systems effectively to prospective buyers.
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Regional Sales Manager - Mid-Atlantic
MCM
Remote, United States
- $100,000 to $250,000 USD / year
● You demonstrate the ability to learn and understand software and technology solutions and can communicate the value and features of these systems effectively to prospective buyers.
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Sr. Analyst, Supply Chain Data Analytics

United States

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Job details

Experience: Bachelor’s degree or above in a STEM or related quantitative field, with 2–5 years of experience building data, analytical, or AI solutions.
Posting language: English

Original job description

Job ID: [[id]]

Alternate Locations: [[mfield1]]

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.

Overview

As a Senior Analyst, Supply Chain Data Analytics, you will build data, analytics, and AI solutions grounded in supply chain processes across planning, customer service, customer supply chain, procurement, and operations. You will develop trusted data products, analytical models, and AI-enabled capabilities that turn complex business questions into actionable recommendations.

This is a hands-on technical role that combines analytical problem-solving, supply chain business knowledge, and solution development. You will work closely with your manager and business partners to frame problems, rapidly prototype solutions, and deliver reliable, maintainable products that create measurable supply chain value.

Key Responsibilities

Build AI and analytics solutions that evaluate supply chain performance, identify trends and root causes, and improve decision-making across planning, customer service, customer supply chain, procurement, and operations.
Develop AI-enabled capabilities including Genie Agents, conversational analytics, retrieval-augmented generation (RAG) solutions, and other agentic workflows that increase user productivity and accelerate decision-making.
Engineer and maintain data foundations, reusable data models, metric views, and analytics-ready datasets using Databricks, SQL, Python, and semantic assets that support analytics, AI, and application development.
Partner with business stakeholders to understand their processes and decision points, identify high-value opportunities, rapidly prototype solutions, and drive adoption of analytics and AI products that deliver measurable business outcomes.
Improve analytics delivery through automation, reusable components, and development standards that increase the speed, quality, and scalability of data solutions.
Work in an agile delivery model with sprint-based planning, iterative releases, and continuous improvement.

You will work closely with: Supply Chain Analytics team, AI Engineering, Data Science, IT, and business stakeholders across functions

Systems in use: Python, SQL, Azure, Databricks, Power BI, SAP, GitHub, VS Code, Copilot, ChatGPT, Claude, Jira, and Confluence

Key Qualifications

Minimum:

Bachelor’s degree or above in a STEM or related quantitative field, with 2–5 years of experience building data, analytical, or AI solutions.
Proficiency in SQL, including joins, window functions, aggregations, and query optimization.
Experience building ETL/ELT workflows, reusable datasets, or data products using SQL, Python, or similar tools in Azure cloud environments.
Proficiency in Power BI/Tableau/Looker including data modeling, semantic models, DAX, and report/dashboard development
Strong analytical and problem-solving skills, with the ability to translate business questions into structured analyses and actionable recommendations.
Working knowledge of core supply chain processes such as demand planning, supply planning, inventory management, fulfillment, or logistics.
Demonstrated ability to work independently on technical deliverables with minimal oversight

Preferred:

Experience with Databricks and Azure data services
Familiarity with analytics engineering practices such as VS Code, medallion architecture, or version-controlled transformation workflows
Exposure to machine learning or operationalizing data science outputs into production
Experience using AI-assisted development tools such as Copilot, ChatGPT, or Claude to accelerate technical work
Experience working in international matrix organizations
Supply chain or CPG domain experience across planning, customer service, transportation, or operations

*Please note this position will NOT be able to support OPT status or sponsor H1B visa.

Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer’s, Oster, NUK, Spontex and Campingaz. We are focused on delighting consumers by lighting up everyday moments. Newell Brands and its subsidiaries are Equal Opportunity Employers and comply with applicable employment laws. EOE/M/F/Vet/Disabled are encouraged to apply.

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More about this job

Skills

Supply chain management
Data analysis
Customer service
Procurement
Decision making
Process improvement
Python
SQL
Microsoft Azure
Databricks
Microsoft Power BI
SAP
GitHub
Jira
Atlassian Confluence
Data engineering
Tableau
Looker
Data modelling
Problem solving
Inventory management
Logistics
Work independently
Machine learning

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