SAP 4 Hana Analytics Specialist II

Honeywell Technologies

Bracknell

Hybrid

GBP 55,000 - 75,000

Full time

2 days ago
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Job summary

Honeywell Technologies in Bracknell, UK, is seeking an SAP 4 Hana Analytics Specialist II who will drive S4 planning analytics. You will build Power BI reports, deliver dashboards, and partner with procurement, production and logistics to enhance planning accuracy and inventory management.

The role requires 3+ years in supply chain analytics, a relevant degree, and strong data skills (Power BI, SQL, Python).

Qualifications

  • 3+ years of experience in supply chain analytics or planning analytics.
  • Bachelor's degree in a relevant field such as Data Science, Analytics or Engineering.
  • Strong analytical and problem-solving skills with the ability to translate data into insights.

Responsibilities

  • Develop Power BI reporting to support supply planning and execution in S4 Hana.
  • Develop and maintain analytics dashboards and reports to support decision-making.
  • Analyze supply planning data to identify trends, risks and opportunities.
  • Collaborate with procurement, production and logistics to align analytics with business goals.
  • Use advanced analytics tools to optimize supply planning processes.
  • Identify automation opportunities and drive process improvements.
  • Provide training to stakeholders on analytics tools and practices.
  • Monitor data quality metrics and implement corrective actions.

Skills

Supply chain analytics
Power BI
Data visualization
Cross-functional
SQL
Python

Education

Bachelor's degree

Tools

Power BI
SQL

Job description

SAP 4 Hana Analytics Specialist II

Job Description

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. 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.

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.
Qualifications
  • 3+ years of experience in supply chain analytics or supply planning analytics.
  • 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.
About Honeywell Technologies

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 Business Unit

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.

#TheFutureIsWhatWeMakeIt

About Us

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.

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