Find the insight in supply chain data that cuts cost and delay — analyzing flows, forecasting demand, spotting where things bog down. You bring clarity to a web of moving parts.
Pulling and analyzing supply chain data, building reports and forecasts, and identifying inefficiencies fill a largely analytical, desk-based day, collaborating with operations, procurement, and logistics. The value is in patterns spotted — bottlenecks and risks others miss.
The challenge is the messiness of supply chain data and real-world disruptions that defy clean forecasts. Pressure to cut cost is constant, and stakeholders may want answers the data can't give. Tools and scope vary widely, so the work shifts by company.
It fits someone analytical, detail-oriented, and practical. If you need clean data or fast results, the ambiguity can frustrate. But if turning data into smoother operations appeals, the work tends to be engaging, forecast by forecast, bottleneck by bottleneck.
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Roles like this one sit within a broader occupational category. The numbers below reflect that full landscape — helpful for context, but your specific experience will depend on level, specialty, and where you work.
Roles with similar work and overlapping career paths
View all Technology roles →Find the insight in supply chain data that cuts cost and delay — analyzing flows, forecasting demand, spotting where things bog down. You bring clarity to a web of moving parts.
Median pay for a Supply Chain Data Analyst is about $81K nationally, with the field ranging roughly from $49K to $132K depending on experience, employer, and metro (BLS).
Core skills for this role include Critical Thinking, Reading Comprehension, Complex Problem Solving, Active Listening, and Systems Analysis.
Most people in this role hold a bachelor's degree.
Employment in this field is projected to grow about 16.7% through 2034, with roughly 235,640 people working in it today (BLS).
Closely related roles include Data Operations Director, Supply Chain Specialist, and Supply Chain Planner.
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