Supply Chain Data Analyst
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Must-have:PythonData
Nice-to-have:SAP
Job Description & Requirements
We are seeking a highly motivated and detail-oriented Supply Chain Data Analyst to join our team. This entry-level role is ideal for fresh graduates with a passion for supply chain management and data analysis. The successful candidate will be responsible for analyzing supply chain performance, optimizing processes, and supporting decision-making through data-driven insights.
Key Responsibilities:
- Collect, clean, and analyze data from various sources such as ERP systems, production logs, and inventory databases.
- Develop dashboards and reports to monitor Key Performance Indicators (KPIs), including inventory levels, order accuracy, and delivery performance.
- Conduct demand forecasting and inventory analysis to support planning and procurement strategies.
- Identify trends, inefficiencies, and opportunities for cost reduction or process improvement within the supply chain.
- Collaborate with cross-functional teams to ensure data-driven decisions align with business goals.
- Support risk assessments by identifying potential supply chain disruptions and recommending contingency plans.
- Assist in implementing new supply chain technologies or software tools, ensuring data integration and usability.
- Present insights and recommendations to stakeholders in a clear and actionable manner.
Requirements:
Educational Qualifications:
- Bachelor’s degree or diploma in Supply Chain Management, Business Administration,Data Analytics, or a related field.
- Fresh graduates are welcome to apply; relevant internships or academic projects are a plus.
Technical Skills:
- Proficiency in Microsoft Excel (pivot tables, VLOOKUP, data visualization).
- Basic knowledge of SQL, Python, or R for data analysis is advantageous.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Exposure to ERP systems like SAP or Oracle is a plus.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills.
- Attention to detail with a focus on data accuracy.
- Team player with a proactive attitude and eagerness to learn.