On-site in Atlanta, Georgia, this mid-level role at Newell Brands involves leveraging analytics and AI to enhance supply chain efficiency. The company is a major consumer products firm with a diverse brand portfolio.
Skills / Requirements
- Agentic Workflows
- AI Engineering
- API-based AI Services
- Azure
- Big Data Infrastructure
- ChatGPT
- CI/CD
- Claude Code
- Data Strategy
- Databricks
- ETL/ELT Workflows
- Github Copilot
- Model Evaluations
- Power BI
- Prompt Engineering
- Python
- SQL
- Supply Chain Analytics
- Tableau
- Vibe Coding
Why Apply
This role suits AI-driven developers due to its focus on building production-grade AI systems and using AI-assisted development tools like GitHub Copilot. You'll work with technologies like Databricks and Azure to integrate AI solutions.
What You'll Be Doing
You'll manage complex analytics and AI projects, define data requirements, and design ETL workflows. Your work will involve building big data infrastructure and deploying AI systems to solve supply chain issues.
Working in Atlanta, Georgia
- Atlanta is a major tech hub in the Southeast, offering numerous opportunities in technology and innovation.
- The city has a relatively low cost of living compared to other major U.S. cities, making it attractive for professionals.
- Atlanta's public transportation system, MARTA, provides convenient access to various parts of the city.
- The city is known for its diverse culture and vibrant arts scene, offering a rich lifestyle outside of work.
Pay and Career Growth
The role offers visibility across all Newell Divisions globally, providing a platform for career growth. The company emphasizes a collaborative environment, fostering teamwork and leadership development.
Benefits and Perks
- Collaborative culture
- Global Impact
- Inclusive environment
- Professional Growth
Is This Role Right for You?
Good fit if you...
- Experienced in AI-assisted development tools like GitHub Copilot.
- Strong background in supply chain analytics and BI tools.
- Comfortable with big data infrastructure and AI system deployment.
May not be for you if...
- Lacks experience with AI engineering concepts and prompt engineering.
- Unfamiliar with cloud platforms like Azure and Databricks.
- Prefers remote work over on-site roles.
Original Job Description
Job ID: 15125
Alternate Locations:
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 implementation.
Build and maintain enterprise big data infrastructure using Apache Spark to extract, transform, load, and model large volumes of raw supply chain data across source systems, data lakes, and serving layers.
Design and deploy diagnostic tools and BI solutions that enable business users to identify supply chain performance gaps and drive action planning.
Design, build, and deploy production AI systems including RAG architectures, agentic workflows, and API-based AI services; implement prompt versioning, model evaluations, and guardrails (security, PII, hallucination prevention) to ensure responsible, governed deployments.
Integrate AI and analytics solutions with enterprise platforms including Databricks (Unity Catalog, AI/BI Genie, AgentBricks, MLflow), Azure, and MuleSoft; build CI/CD pipelines that ensure code is testable, maintainable, and version-controlled.
Partner with Global Supply Chain team members to define requirements, reporting specifications, and data strategies; translate business problems into BI and AI roadmaps and communicate architecture trade-offs to non-technical stakeholders.
Vibe coding proficiency – demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) to rapidly prototype, iterate, and deliver working solutions, accelerating the cycle from idea to production.
The Candidate
The successful candidate will be an accomplished professional applying data analytics and business intelligence techniques within a business environment. Candidate must also demonstrate the ability to communicate complex technical concepts to business partners in Supply Chain and Finance communities.
Key Qualifications:
Bachelor’s degree in Analytics, Computer Science, Mathematics, Statistics, Data Science, Engineering or related field
5+ years of experience in a related analytical field, or demonstrated ability to quickly learn and apply complex technical skills. Supply chain analytics experience is preferred.
Strong SQL skills with demonstrated experience querying large data sets, including query optimization and performance tuning
Demonstrated experience deploying BI tools at scale using platforms such as Power BI, Tableau, Looker, Sigma or Qlik
Proficiency in Python; experience developing production-grade, modular packages strongly preferred; working knowledge of R a plus
Solid understanding of AI engineering concepts including LLMs, prompt engineering, RAG systems, agentic workflows, model evaluations, and vector databases, with practical experience applying them to business problems
Demonstrated use of AI-assisted development tools (e.g., GitHub Copilot, Claude Code, ChatGPT) to accelerate prototyping, reduce friction, and ship higher-quality code faster
Familiarity with cloud platforms (Azure preferred) and DevOps practices including Git, CI/CD pipelines, and unit testing; experience with Databricks (Unity Catalog, MLflow, AI/BI Genie, or AgentBricks) a plus
Strong written and verbal communication skills, including the ability to translate complex AI and data architecture concepts for non-technical stakeholders
Collaborative and interpersonally effective across all levels of the organization; able to manage multiple priorities with autonomy, follow-through, and sound judgment*This position will not be able to sponsor H1B visa or support OPT status.
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.