Supply Chain Analyst

The Job Store Staffing; Broomfield (CO); On-site; USD 65,000 - 90,000; Full time

Job summary

The Job Store Staffing is partnering with an industry‑leading client to hire an AI Data Analyst who translates complex data into actionable insights and helps shape AI‑driven operations. You will work with Data Scientists, Engineers, and business leaders on AI, analytics, and automation initiatives across operations and supply chain.

Ideal candidates bring 1–3 years of analytics/BI experience, strong Python/SQL/R skills, and hands‑on BI tooling knowledge (Power BI/Tableau/Looker).

Qualifications

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or related field.
• 1–3 years of analytics, BI, or technical experience (internships/co-ops welcome).
• Strong skills with Python, SQL, R, Power Query, or similar tools.
• Experience with Power BI, Tableau, or Looker.
• Understanding of ETL processes, data wrangling, and relational databases.
• Familiarity with AI/ML concepts, prompt engineering, or predictive analytics.
• Strong Excel, analytical, and problem‑solving skills.
• Excellent communication and collaboration abilities.
• Experience in manufacturing, supply chain, or consumer goods environments.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience in API integrations and workflow automation tools.
• Experience with AI prompt frameworks and LLM best practices.
• Experience in KPI/dashboard development for operations or forecasting.

Responsibilities

• Collect, clean, and transform structured and unstructured data from multiple sources.
• Build and maintain data pipelines that support AI and analytics initiatives.
• Prepare datasets for machine learning and predictive modeling.
• Support prompt testing and optimization for generative AI and LLM tools.
• Create dashboards and visualizations that drive real‑time business insights.
• Perform exploratory data analysis to uncover trends and opportunities.
• Collaborate across technical and business teams to improve data governance and reporting.
• Contribute ideas around emerging AI, automation, and analytics technologies.

Skills

Python

SQL

R

Power Query

Excel

Analytical skills

Communication

Education

Bachelor’s degree in Data Analytics, CS, Engineering, Statistics, Math, Economics, or related field

Tools

Power BI

Tableau

Looker

AWS

Azure

GCP

Job description

Job Store Staffing is partnering with an industry-leading client to find an AI Data Analyst who is excited about turning complex data into actionable insights and helping shape the future of AI-driven business operations.

If you love working with data, analytics, automation, and emerging AI technologies, this is an opportunity to work alongside Data Scientists, Engineers, and business leaders on cutting‑edge initiatives that directly impact operations, supply chain, and commercial performance.

What You’ll Be Doing:

• Collect, clean, and transform structured and unstructured data from multiple sources
• Build and maintain data pipelines that support AI and analytics initiatives
• Prepare datasets for machine learning and predictive modeling
• Support prompt testing and optimization for generative AI and LLM tools
• Create dashboards and visualizations that drive real‑time business insights
• Perform exploratory data analysis to uncover trends and opportunities
• Collaborate across technical and business teams to improve data governance and reporting
• Contribute ideas around emerging AI, automation, and analytics technologies

What We’re Looking For:

• Bachelor’s degree in Data Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or related field
• 1–3 years of analytics, BI, or technical experience (internships/co‑ops welcome)
• Strong skills with Python, SQL, R, Power Query, or similar tools
• Experience with Power BI, Tableau, or Looker
• Understanding of ETL processes, data wrangling, and relational databases
• Familiarity with AI/ML concepts, prompt engineering, or predictive analytics
• Strong Excel, analytical, and problem‑solving skills
• Excellent communication and collaboration abilities
• Experience in manufacturing, supply chain, or consumer goods environments
• Experience with cloud platforms such as AWS, Azure, or GCP
• Experience in API integrations and workflow automation tools
• Experience with AI prompt frameworks and LLM best practices
• Experience in KPI/dashboard development for operations or forecasting

This is an exciting opportunity to join a forward‑thinking organization investing heavily in AI, analytics, and operational innovation. If you’re ready to grow your career in a highly collaborative and technology‑driven environment, we’d love to connect with you.