Sr. Supply Chain Analyst

Overview

Make an Impact! At McGraw Hill we create best-in‑class, next‑generation learning platforms that are used by millions of students and educators worldwide from kindergarten through graduate school. Our goal is to accelerate student success through intuitive and effective learning tools and content that maximize a teacher’s time and a student’s learning experience. We do all of this in a supportive, collaborative environment where you can grow your career in a way that fits into your life.

How can you make an impact? McGraw Hill, the leading provider of digital and print educational resources, is looking for a Sr. Supply Chain Analyst
. As a Sr. Supply Chain Analyst, you will be exposed to different areas of McGraw Hill’s integrated Global Supply Chain organization. This includes forecasting and inventory planning, global sourcing and contract management, logistics optimization and management, product distribution and labor planning, project management, business process design and improvement, quality management, spend analysis, and supply chain analytics.

This position takes a leadership role within the Supply Chain Data Analytics team and is responsible for identifying, acquiring, analyzing, and distributing data in support of MHE’s Supply Chain Strategy as well as Forecasting, Supply Planning, and Sourcing operations. The Sr. Supply Chain Analyst takes a mentorship role with other analysts and a consultive role with the functional teams as they all work collaboratively with multiple business units and technical teams.

This is a remote position open to applicants authorized to work for any employer within the United States. This role has options to work in our Columbus, Ohio, or New York offices roughly 10%-20% of the time. Candidates are preferred to live within 1 hour of commutable time to one of the offices.

• Creating and maintaining queries, data sets, and analysis to monitor supply chain performance and presenting the data through reporting, dashboarding, and storytelling techniques.
• Defining standards and coordinating analytics activities across business teams to leverage effort as well as ensure consistency and accuracy.
• Conducting statistical analysis, developing machine learning methodologies, model estimation, and participate in internal research activities.
• Evaluating new automation and AI technologies, recommending solutions, and leading initiatives to advance digital capabilities across the supply chain.
• Designing and implementing automated analytics workflows, data pipelines, and reporting tools including the use of AI/ML to eliminate manual processes and improve operational efficiency.
• Guiding other analysts in the planning and execution of analytics projects via leadership and project management skills.
• Supporting Demand & Supply Planners with forecasting, inventory analysis and reporting.
• Performing ad-hoc/non-repetitive data analysis to support fact-based decision‑making efforts.
• Preparing information for senior management on supply chain spend and other metrics used to measure performance and manage the business.
• Participating in continuous improvement projects.

• Bachelor’s Degree required preferably in or with a concentration in Data Analytics, Statistics, Mathematics, Information Science, or Engineering.
• 4+ years of experience in a role with heavy emphasis on quantitative analysis and data analytics (Supply Chain and/or Finance experience preferred) or equivalent experience
• Analytical Capabilities:
  Demonstrated experience performing business intelligence, data warehousing, data mining, modeling, and data analysis work using SQL, Python, R, Alteryx, etc.
• Data Visualization:
  Demonstrated experience using data visualization tools such as Tableau or Power BI
• Process Automation:
  Demonstrated experience using Power Automate, Power Apps, and AI tools
• Project Management:
  Proven experience in project management, with the ability to lead and manage data-related projects efficiently.
• Problem Solving:
  Demonstrated problem‑solving skills to analyze, interpret and synthesize large data sets with limited direction.
• Critical Thinking:
  Apply strong…