Supply Chain Data Analyst II
We are seeking an experienced Supply Chain Data Analyst to develop and optimize data-driven insights that enhance operational efficiency. The ideal candidate will have a strong analytical mindset, technical proficiency, and experience in business intelligence tools to support data modeling and visualization for supply chain metrics.
Key Responsibilities
- Develop and optimize supply chain dashboards to track key metrics such as on-time delivery, delivery health, and in-stock performance.
- Create end-to-end dashboards utilizing Tableau and AWS Quicksight.
- Utilize advanced SQL skills to manipulate, analyze, and extract insights from large datasets.
- Work closely with supply chain and manufacturing stakeholders to understand business needs and translate them into actionable data insights.
- Apply project and program management expertise to streamline data analysis and reporting processes.
- Support cost, lead time, and demand data modeling to enhance supply chain efficiency.
- Leverage business intelligence tools to drive strategic decision-making and operational improvements.
Top 3 Must-Have Skills
- Data Visualization & Dashboarding – Expertise in Tableau, AWS Quicksight, and other visualization tools.
- SQL Proficiency – Advanced SQL skills to query and manipulate large datasets effectively.
- Business Intelligence & Analytics – Experience in supply chain metrics, cost modeling, and demand forecasting.
Skills & Experience Required
- Bachelor’s degree in Data Science, Statistics, Mathematics, Engineering, or Computer Science.
- Minimum 2 years of experience in data analysis, business intelligence, or supply chain analytics.
- Strong knowledge of supply chain and manufacturing processes.
- Proficiency in Excel, including pivot tables, VLOOKUPs, and macros.
- Strong stakeholder communication skills for presenting insights and driving data-informed decisions.
- Experience with project and program management to improve reporting processes and operational efficiency.
Preferred Qualifications
- Experience working with large-scale datasets in a supply chain or manufacturing environment.
- Ability to model supply chain costs, lead times, and demand trends.
- Familiarity with additional programming languages such as Python or R for data analysis.
- Strong problem-solving skills and ability to work in a fast-paced, data-driven environment.
This role offers an exciting opportunity to leverage data-driven insights to improve supply chain efficiency, working closely with key business stakeholders. The ideal candidate will have a passion for analytics, strong technical skills, and the ability to drive strategic decision-making through data visualization and business intelligence tools.
