Supply Chain Planning Analyst

As a S4 Supply Chain Planning Analyst here at Honeywell Technologies, you will play a vital role in leveraging data analytics to enhance S4 planning processes. You will analyze supply chain data to provide actionable insights that improve planning accuracy, optimize inventory levels, and support decision-making across the supply chain network.In this role, your work will provide insights to improve supply chain efficiency, reduce costs, and increase customer satisfaction by ensuring the right products are available at the right time through data-driven supply planning strategies.As a S4 Supply Chain Planning Analyst here at Honeywell Technologies, you will play a vital role in leveraging data analytics to enhance S4 planning processes. You will analyze supply chain data to provide actionable insights that improve planning accuracy, optimize inventory levels, and support decision-making across the supply chain network.This role is focused on transforming SAP S/4HANA planning data into actionable business insights through SAP Analytics Cloud (SAC), SAP Fiori Reporting, Embedded Analytics, CDS Views, and advanced visualization tools.Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.YOU MUST HAVE4+ years of experience in supply chain analytics or supply planning analytics.2+ years of experience with S/4 HANA.Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.Proven experience in supply chain processes.Strong understanding of MRP systems and data management principles.Ability to work collaboratively in a fast-paced, cross-functional environment.Strong communication and interpersonal skills, capable of influencing stakeholders at all levels. Knowledge of supply planning processes and inventory management principles.WE VALUEKnowledge of process and discrete industriesBachelor’s degree in supply chain management, Business Administration, Engineering, or a related field.Experience with data visualization tools like Tableau or Power BI.Supply Chain Certifications such as CSCP / CPIM / CPSM / Lean Six Sigma.Proficiency in data analytics tools and programming languages such as Python, R, and SQL.Familiarity with advanced analytics techniques including predictive modeling and machine learning.U.S. PERSON REQUIREMENTSDue to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status.BENEFITS FOR WORKING AT HONEYWELLIn addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more ( application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: July 9, 2026ABOUT HONEYWELLHoneywell Technologies International Inc. invents and commercializes technologies that address some of the world’s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more about Honeywell Technologies: click here ( Technologies.com/us/en)THE BUSINESS UNITThe Process Technology business unit at Honeywell Technologies provides process technologies, engineering, and equipment for the refining, petrochemicals, and gas processing industries.Honeywell Technologies is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. Learn more about inclusion and diversity :click here ( Technologies.com/us/en/company/inclusion-and-diversity)KEY RESPONSIBILITIESDevelop and maintain SAP S/4HANA reporting solutions supporting supply planning, inventory management, material availability, and planning execution.Design, build, and enhance S/4 reporting dashboards, KPI scorecards, and analytical reports used by planning, operations, and leadership teams.Develop S4 based reporting to support supply planning and execution.Develop and maintain analytics dashboards and reports to support supply planning decision-making.Analyze supply planning data to identify trends, risks, and opportunities for improvement.Collaborate with cross-functional teams including procurement, production, and logistics to align supply planning analytics with business objectives.Utilize advanced analytics tools and techniques to optimize supply planning processes.Support continuous improvement initiatives by identifying automation opportunities and process enhancements.Support roadmap for AI initiatives and implementationIdentify and mitigate risks associated with data quality issues that could lead to MRP failures or supply chain disruptions.Provide ongoing support and training to stakeholders on analytics practices and tools.Monitor and report on data quality metrics, implementing corrective actions as necessary.Full timePosting Date: