Analyze supply chain data such as inventory levels, demand forecasts, service levels, transportation costs, and supplier performance to identify trends, risks, and improvement opportunities.
Design, develop, and maintain dashboards, KPIs, and reports that provide visibility to supply chain performance and support leadership decision-making.
Partner with procurement, planning, manufacturing, logistics, finance, commercial, and IT teams to align analytics initiatives with business objectives.
Build scenario models to support supply chain planning, capacity management, and risk mitigation strategies.
Provide data-driven recommendations to improve forecast accuracy, inventory optimization, OTIF, and overall operational efficiency.
Support predictive and prescriptive analytics initiatives using statistical methods and machine learning models.

Bachelor’s degree in Supply Chain Management, Industrial Engineering, Business Analytics, or a related field.
Minimum of 3 years of experience in supply chain analytics, data analytics, or a similar role.
Strong analytical and structured problem-solving mindset.
Ability to translate complex data into clear insights for non-technical stakeholders.
Excellent communication, collaboration, and stakeholder management skills.
Advanced proficiency in Excel (complex formulas, Pivot Tables, Power Query).
Strong SQL skills for querying and manipulating large datasets.
Experience with data visualization tools such as Power BI.
Hands-on experience with Python for data analysis, automation, and statistical modeling.
Familiarity with key supply chain KPIs such as OTIF, forecast accuracy, inventory turns, and fill rate.

Supply Chain Data Analyst

Key skills