Duration: 12 months Job Summary: As an Entry Level Supply Chain Data Analyst, you will be responsible for collecting, analyzing, and interpreting data related to our supply chain operations. You will work closely with cross-functional teams to identify trends, patterns, and areas for improvement, providing insights to help optimize our global supply chain. Responsibilities: • Develop and maintain data pipelines to extract, transform, and load data from various sources using SQL and Python. • Develop and maintain databases, dashboards, and reports to track key performance indicators (KPIs) and metrics • Identify trends, patterns, and anomalies in data, and provide recommendations for process improvements • Drive automation projects on an aggressive timeline with a team of world-class engineers and designers • Develop and maintain a well-coordinated internal relationship with cross-functional teams, including operations, logistics, and engineering, in order to best understand business needs and develop data-driven solutions • Develop and implement data visualization tools to communicate complex data insights to stakeholders Minimum Requirements: • Bachelor's degree in Supply Chain Management, Operations Research, Mathematics, Computer Science, or a related field • 3+ years of experience in forecasting, inventory planning, and supply chain optimization • 3+ years of experience using SQL & Python • Strong analytical and problem-solving skills • Strong understanding of and supply chain management and planning principles, practices, and techniques • Excellent analytical and problem-solving skills, with the ability to interpret complex data and make data-driven decisions • Proficiency in pandas, NumPy, and other Python libraries for data manipulation and analysis • Proficiency in SQL and database management • Excellent communication and collaboration skills • Ability to work in a fast-paced environment and meet deadlines Preferred Requirements: • Familiarity with supply chain management software, such as SAP or Oracle • Experience with ERP or supply chain system implementation • Experience with data visualization tools, such as Tableau or Power BI • Knowledge of statistical analysis and modeling techniques • Certification in supply chain management, such as APICS or ISM • Instruct staff on how to resolve problems related to undelivered goods. • Confer with staff, users, and vendors to discuss defective or unacceptable goods or services and determine corrective action.