The Supply Chain Data Analyst gathers, analyzes, and interprets operational data to provide actionable insights that support decision-making across supply chain functions.
This role bridges business operations and data analytics, helping the organization improve forecasting, planning, inventory management, and overall operational efficiency through data-driven solutions.
Key Responsibilities:
Collect, analyze, and interpret large data sets to identify trends, patterns, and opportunities for improvement
Perform data mining using SQL or equivalent tools to uncover new insights and operational efficiencies
Translate complex data findings into clear, actionable recommendations for stakeholders
Collaborate with cross-functional teams, including Manufacturing and Operations, to identify business needs and support project goals
Participate in system implementation projects, including documenting requirements, testing, and issue resolution
Develop and maintain data reporting dashboards and visualizations to support operational decisions
Ensure data accuracy and integrity through regular review and validation processes
Utilize advanced analytical tools such as MicroStrategy and Excel to manipulate and present data effectively
Qualifications:
Basic Qualifications:
Bachelor’s degree in business, supply chain, data analytics, or a related fiel
Strong analytical and critical-thinking skills with attention to detail
Proficient in data analysis tools, including Excel and SQL or equivalent
Excellent written and verbal communication skills with the ability to simplify complex information
Strong organizational and problem-solving abilities
Preferred Qualifications:
Experience with Oracle or ERP systems
Knowledge of supply chain processes such as forecasting, planning, inventory management, and logistics
Familiarity with data architecture and reporting tools such as MicroStrategy
Understanding of continuous flow or lean operations principles
Ability to adapt quickly to changing business needs and manage multiple priorities
