Sr Supply Planner-S4 Hana

Honeywell International Inc; Bracknell; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

Honeywell Technologies in Bracknell, UK, is seeking a Senior Supply Planner to leverage data analytics for S4 Hana planning. The role focuses on creating Power BI reports and dashboards to support supply planning, collaborating with procurement, production, and logistics, and driving data-driven improvements across the supply chain.

You will report to the COE Planning Director and operate on a hybrid schedule, enabling data-informed decision making, inventory optimization, and better service

Qualifications

• 5+ years of experience in supply chain analytics or supply planning analytics.
• Experience in SAP/S4 Hana.
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.

Responsibilities

• Develop Power BI based reporting to support supply planning and execution in S4 Hana.
• 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.
• Provide ongoing support and training to stakeholders on analytics practices and tools.
• Monitor and report on data quality metrics, implementing corrective actions as necessary.

Skills

Power BI

Data analytics

SQL

Python

Cross-functional collaboration

Education

Bachelor's degree in Data Science/Analytics/Engineering/Supply Chain

Tools

S4 Hana

Job description

As a Sr Supply Planner -S4 Hana 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. You will report directly to our COE Planning Director and you'll work out of our Bracknell UK location on a Hybrid work schedule. 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. Center of Excellence role supporting Process Technology planning:

• Develop Power BI based reporting to support supply planning and execution in S4 Hana.
• 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.
• Provide ongoing support and training to stakeholders on analytics practices and tools.
• Monitor and report on data quality metrics, implementing corrective actions as necessary.

Qualifications

• 5+ years of experience in supply chain analytics or supply planning analytics.
• Experience in SAP/S4 Hana
• Bachelor's degree in a relevant field (e.g., Data Science, Analytics, Engineering, Supply Chain, etc.)
• Strong analytical and problem-solving skills with the ability to translate complex data into actionable insights.
• Experience with data visualization tools - Power BI.
• Proven experience in support of supply chain processes.
• Ability to work collaboratively in a fast-paced, cross-functional environment.
• Excellent communication and people-oriented skills, with the ability to effectively work with cross-functional teams.

WE VALUE

• Strong understanding of MRP systems and data management principles.
• Knowledge of process and discrete industries
• 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.

Honeywell 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 (https://www.Honeywell Technologies.com/us/en), The Process Technology business unit at Honeywell Technologies provides process technologies, engineering, and equipment for the refining, petrochemicals, and gas processing industries.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Honeywell 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.