What are the responsibilities and job description for the Supply Chain Data Analyst position at DENSO Career Connection?
Job Description: This individual will play a pivotal role in optimizing our supply chain operations through data analysis and predictive modeling. This is an opportunity to bring a background in supply chain management and passion for data-driven decision-making to this new team.
Responsibilities:
- Data Engineering: Gather, clean, and analyze data from sales, inventory, and production.
- Predictive Modeling: Develop and maintain predictive models to forecast demand, identify potential supply chain disruptions, and optimize inventory levels.
- Performance Metrics: Define and track key performance indicators (KPIs) related to supply chain efficiency and effectiveness.
- Collaboration: Work closely with cross-functional teams, including procurement, logistics, and operations, to provide data-driven insights and recommendations.
- Continuous Improvement: Identify opportunities for supply chain process improvement and cost reduction then recommend actionable solutions.
- Data Visualization: Create informative and easy-to-understand data visualizations and reports for stakeholders.
Requirements:
- Education: Required Bachelor's degree in Data Analytics, Data Science, Data Engineering, Statistics, or a related field.
- Experience: 2 years of experience in data analytics or data science.
- Software / Analytical Skills: Proficiency in data engineering, statistical modeling, and data visualization tools (e.g., Python, R, SQL, Tableau/Domo). Microsoft Office experience required. AS400 and ERP system experience preferred.
- Supply Chain Knowledge: Understanding of supply chain principles, inventory management, and forecasting methodologies.
- Predictive Modeling: Experience with predictive modeling techniques, such as time series analysis, regression analysis, and machine learning algorithms.
- Communication Skills: Ability to convey complex analytical findings to non-technical stakeholders.
- Team Player: Collaborate in a cross-functional team environment.
Salary Information: Starting salary is flexible based on candidate experience & education. Expected range: $68,000 - $82,000
Salary : $68,000 - $82,000