Analytics Manager

Company Overview

Imagine Everything. Build the Future with Hexion.

At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress—developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.

This is where bold thinkers, problem-solvers, and innovators come together to shape what’s next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.

We don’t follow the status quo—we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.

We invest in innovation, sustainability, and continuous development—equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.

Position Overview

The Manager of Advanced Analytics is a hands-on leader responsible for enabling data-driven decision-making through the design, development, and execution of advanced analytics solutions. This role will oversee the application of predictive and prescriptive modeling, data engineering, and scalable analytics pipelines to unlock value from enterprise data, especially within the context of the chemical manufacturing industry. The Manager will work closely with stakeholders across business and IT to deliver actionable insights, leveraging Microsoft Azure Databricks, Python, PySpark, and ERP systems such as SAP. This individual will support the broader analytics strategy by driving innovation in data science practices while ensuring operational excellence and alignment with business needs.

Job Responsibilities

• Lead the development and implementation of advanced analytics solutions using machine learning, predictive modeling, and statistical techniques to solve high-impact business problems.
• Build and maintain data analytics models on Microsoft Azure using tools such as Azure Data Factory, Databricks, Python, and Apache Spark (PySpark).
• Collaborate with business and functional teams to define use cases, translate requirements into data science workflows, and deploy models that improve business outcomes.
• Apply a strong understanding of the chemical manufacturing value chain and SAP ERP systems to integrate analytics into core business processes.
• Champion best practices in data governance, model validation, and model monitoring, ensuring consistency with enterprise data architecture.
• Support initiatives related to Vendor Managed Inventory (VMI), network design and optimization, and supply chain analytics through advanced modeling and scenario simulation.
• Integrate analytics to support and enhance Sales and Operations Planning (S&OP) processes, including metrics such as forecast accuracy, inventory turns, and service levels.
• Mentor junior data scientists, analysts, and data engineers to support talent development and knowledge sharing within the team.
• Collaborate with external vendors or partners on specialized analytics initiatives when necessary.

Minimum Qualifications

• Bachelor’s or Master’s degree in Industrial Engineering, Optimization, Statistics, Engineering, or a related field.
• 7+ years of hands-on experience in business intelligence or advanced analytics, preferably in a manufacturing or chemical industry setting.
• Proficient in Python and PySpark for large-scale data processing and analytics.
• Strong knowledge of Azure Data Services (e.g., Azure Synapse, Azure ML, Azure Data Factory, Databricks).
• Solid understanding of ERP data structures, preferably SAP ECC or S/4HANA.
• Experience with machine learning lifecycle management, model deployment, and performance monitoring.
• Familiarity with data visualization tools such as Power BI or equivalent.
• Strong communication and collaboration skills to translate technical findings into business insights.
• Preferred experience in Vendor Managed Inventory (VMI) implementation and optimization, supply chain network modeling, and supporting S&OP metrics through analytics.

Other

We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.

To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age.  Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.