Supply Chain Data Analyst
SOC 13-1081.00 · ESCO 2421 · OSCA 223434
Role snapshot
Overview
Analyses logistics and inventory data to identify bottlenecks, forecast demand, and recommend improvements that reduce costs and delivery times. Builds dashboards and models that give supply chain managers real-time visibility into operations. This role involves deep dives into data, utilizing statistical methods and data visualization tools to optimize complex supply chain processes, from procurement to delivery.
Optimizes operational efficiency, reduces waste, improves on-time delivery, and enhances decision-making across the supply chain, directly contributing to cost savings and customer satisfaction.
On the job
- Collect, clean, and analyze large datasets related to inventory, transportation, and warehousing.
- Develop and maintain dashboards and reports using business intelligence tools to monitor key performance indicators (KPIs).
- Identify trends, patterns, and anomalies in supply chain data to pinpoint areas for improvement.
- Build predictive models for demand forecasting, inventory optimization, and risk assessment.
- Present data-driven insights and recommendations to supply chain managers and stakeholders.
Tools & technology
Average salary
Job outlook
GrowingJob growth is expected to be above average over the next five years.
Education & training
Bachelor's degree in Supply Chain Management, Logistics, Business Analytics, Statistics, or a related quantitative field. Master's degree can be an advantage.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Supply Chain Data Analyst
Logistics & Supply Chain
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
conventional · CEI
People who enjoy working with data, systems, and processes to solve practical business problems, often involving influencing decisions through insights, tend to thrive in this role.
Personality characteristics
Analytical
Enjoys dissecting complex problems and finding data-driven solutions.
Methodical
Prefers structured approaches to data handling and problem-solving, ensuring accuracy.
Curious
Driven to explore data, uncover hidden patterns and understand underlying causes.
Resilient
Can maintain focus and effectiveness when dealing with complex data challenges or tight deadlines.
Influential
Capable of communicating complex data insights clearly to persuade stakeholders and drive action.
Team-oriented
Works effectively with colleagues from different departments to achieve common goals.
Best for
- Individuals who enjoy working with large datasets to uncover actionable insights.
- Those who are driven to optimize processes and improve efficiency through quantitative methods.
- People who thrive on presenting data-driven recommendations and seeing their impact on business operations.
- Professionals seeking a blend of technical data analysis and business problem-solving.
Watch out for
- Requires continuous learning of new tools and analytical methods to stay current.
- Success depends on translating complex data into understandable insights for non-technical stakeholders.
- May involve dealing with imperfect or incomplete data, requiring patience and creative problem-solving.
A week in the life
A representative working week for a Supply Chain Data Analyst — where the deep work, meetings, and admin actually land.
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