The Supply Chain Data Analyst plays a critical role in ensuring accurate and timely information flow within the demand and supply planning process.
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This role supports the Demand & Supply Planning organization by providing reliable data, insights, and updates on supply chain capabilities, lead times, and potential supply chain disruptions, delivering the data analysis to support the decision making on supply chain strategies.
Key Responsibilities:
· Data Analysis: Collect, analyze, and interpret demand and supply data from cross functional stakeholders and systems, to identify trends, areas for improvement, and cost-saving opportunities.
· Develop dashboards and reports to visualize performance and key supply chain metrics.
· Identify areas for potential supply chain optimization, cost savings, and risk reduction through data analysis.
· Prepare reports and presentations for management review.
· Communication and Collaboration.
· Establish strong communication channels with internal demand & supply planning teams, as well as external cross functional teams.
· Actively participate in planning meetings to provide updates, raise potential supply issues, and offer solutions.
· Proactively identify any potential supply risks (capacity constraints, material shortages, etc.) and communicate to the relevant stakeholders.
· Liaise with CMs to resolve supply discrepancies, expedite shipments, or address quality concerns.
Qualifications:
· Education: Bachelor's degree in Supply Chain Management, Business Administration, or a related field.
Experience:
· 7-9 years of experience in a data analyst role.
· Experience working with demand & supply planning processes is preferrable.
Skills:
· Must be familiar with excel - including analytical tools within excel like building tables, charts, utilizing formulas (advanced preferable) to support analytical tools
· SQL/tableau/Anaplan/ERP knowledge are preferred
· Excellent communication and interpersonal skills.
· Strong analytical, problem-solving, and negotiation skills.
· Detail-oriented with a high degree of accuracy in data management.
· Proficiency in supply chain management software and data analysis tools.
· Ability to work independently as well as within a collaborative team.