In detail, you will:
Data Collection & Analysis:
- Collect and interpret supply chain data across Demand & Supply Planning, logistics, inventory, warehousing, and distribution.
- Analyze data trends to identify opportunities for process improvement, cost savings, and risk reduction.
- Monitor key performance indicators (KPIs) and develop dashboards and reports to track performance.
Supply Chain Optimization:
- Use data to model scenarios for inventory optimization, demand & supply planning, and supply chain performance.
- Assist in capacity planning and forecasting, using data models to recommend adjustments in supply or demand.
- Conduct root cause analysis for supply chain disruptions and develop actionable insights to mitigate risks.
Reporting & Visualization:
- Prepare reports and visualizations that communicate complex data insights to supply chain and cross-functional teams.
- Present findings to stakeholders and recommend solutions based on data analysis.
- Automate data processes and reporting using modern data tools.
Collaboration:
- Collaborate with cross-functional teams (Sales Ops, supply planning, logistics, production, finance, etc.) to align data-driven insights with business strategies.
- Partner with IT to ensure data quality, system integration, and the implementation of data governance protocols.
- Continuous Improvement:
- Identify and implement data-driven solutions that increase efficiency and reduce costs.
- Stay updated on the latest trends and technologies in data analytics and supply chain management, suggesting improvements to current processes and systems.
Qualifications:
- A Bachelor’s Degree in Supply Chain Management, Data Science, Operations Research, Mathematics, Statistics, or Computer Science.
- A Master’s Degree is a plus
- Data Analysis: Proficiency in Python, R, or SQL for data manipulation and analysis.
- Visualization: Strong experience in data visualization tools such as Tableau, Power BI, or Looker to present data insights effectively.
- Statistical Analysis: Hands-on experience with statistical modeling tools (e.g. SPSS, SAS) and machine learning libraries (e.g. scikit-learn, TensorFlow) to build predictive models.
- Database Management: Experience with rational databases and data warehousing platforms such as SQL Server, Snowflake, or Google BigQuery.
- ERP/SCM Systems: Familiarity with enterprise resourcing planning (ERP) and supply chain management (SCM) tools like SAP, Oracle SCM.
- Strong problem-solving abilities and the ability to turn data into actional insights.
- Excellent communication skills for translating technical data into clear business decisions.
- Attention to detail, with ability to work both independently and collaboratively.
- High proficiency in Microsoft Excel with advanced skills in pivot tables, VLOOKUP, and data analysis toolkits.
- 3-5 years of experience in data analysis, preferably in a supply chain or manufacturing environment.
- Experience with supply chain analytics tools like Llamasoft, Kinaxis RapidResponse, or Blue Yonder is highly desirable.
- Experience in predictive analytics and machine learning is a plus.
- Certifications (Preferred but not required):
- APICS Certified Supply Chain Professional (CSCP) or Certified in Production and Inventory Management (CPIM).
- Certifications in Data Science or Machine Learning (e.g., Google Data Analytics, Microsoft Certified Data Analyst).
- Strong analytical and quantitative skills with a proven ability to solve complex problems.
- Ability to manage and analyze large datasets from various sources.
- Experience in process automation and optimizing workflows through technology.
- A passion for continuous learning and staying updated with the latest industry trends.
