Develop and implement robust demand forecasting models using historical data, market trends, and statistical analysis.
Collaborate with sales and marketing teams to align forecasts with business objectives.
Monitor forecast accuracy and implement corrective actions to minimize deviations.
Extract, analyze, and interpret large datasets from various sources to identify trends and insights.
Develop and maintain comprehensive supply chain reports and dashboards.
Utilize advanced Excel functions (e.g., pivot tables, VLOOKUP, macros) to create dynamic reports and models.
Present key findings to stakeholders.
Identify and implement process improvements to enhance supply chain efficiency and effectiveness.
Utilize data analysis to identify bottlenecks and areas for optimization.
Document and standardize supply chain processes.
Analyze inventory levels and implement strategies to optimize stock levels, minimize holding costs, and prevent stockouts.
Develop and maintain inventory control policies and procedures.
Utilize advanced Excel modeling to simulate inventory scenarios and assess impact of changes.

Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
Minimum 4+ years of experience in supply chain management, with a strong focus on forecasting and data analysis.
Proven expertise in advanced Excel modeling and data manipulation.
Strong analytical and problem-solving skills.
Experience working with large datasets and utilizing statistical analysis.
Excellent English communication and presentation skills.
Ability to work independently and as part of a team.
Experience with ERP systems and supply chain management software.

Data Analyst

Key skills