AI-Driven Supply Chain Analytics Specialist

Newell Brands; Atlanta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

Newell Brands seeks a Senior Analyst, Supply Chain Data Analytics, to build data products and AI-enabled capabilities across planning, customer service, and operations. You will prototype solutions, work with stakeholders, and deliver reliable analytics-based improvements in a fast-paced environment.

Responsibilities include developing AI-driven analytics, maintaining data foundations, and accelerating decision-making with scalable data solutions using Python, SQL, Databricks, and BI tools.

Qualifications

• Bachelor’s degree in a STEM or quantitative field with 2–5 years of data/analytic/AI solution experience.
• Proficiency in SQL with joins, windows, aggregations, and query optimization.

Responsibilities

• Build AI and analytics solutions to evaluate supply chain performance and inform decisions.
• Develop AI-enabled capabilities including Genie Agents and RAG solutions.
• Engineer data foundations, models, and datasets using Databricks, SQL, Python, and semantic assets.
• Collaborate with stakeholders to frame problems, prototype solutions, and drive adoption of analytics products.
• Improve analytics delivery via automation, reusable components, and coding standards.
• Participate in agile sprints and continuous improvement.

Skills

SQL

Python

Power BI

Analytical skills

Problem solving

Education

Bachelor’s degree in STEM

Tools

Databricks

Azure

Power BI

SAP

GitHub

VS Code

Copilot

ChatGPT

Claude

Jira

Confluence

Job description

Newell Brands seeks a Senior Analyst, Supply Chain Data Analytics, to build data products and AI-enabled capabilities across planning, customer service, and operations. You will prototype solutions, work with stakeholders, and deliver reliable analytics-based improvements in a fast-paced environment.

Responsibilities include developing AI-driven analytics, maintaining data foundations, and accelerating decision-making with scalable data solutions using Python, SQL, Databricks, and BI tools.