Business Process Analyst - Logistics & Analytics

Business Process Analyst

We are seeking a Business Process Analyst to join our Analytics & Digital Solutions (ADS) organization. In this role, you will lead initiatives that deliver scalable, action‑oriented analytics solutions supporting Global Logistics function.

You will partner closely with Logistics, Operations Business Leaders (OBLs) and data engineering teams to co‑create high‑quality analytics products, support design reviews, and enable structured deployments. As a functional analyst, you will also drive adoption, change management, and sustained utilization of logistics analytics solutions. This role supports global and regional logistics operations by delivering data‑driven insights and analytics products that improve process efficiency, service performance, cost optimization, and continuous improvement, with solutions designed to scale across regions where applicable.

What’s in it For You
•    The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments
•    The ability to make an impact and shape your career with a company that is passionate about growth
•    The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best
•    This is a fantastic opportunity to join a highly recognized global growth company offering competitive compensation and benefits in addition to career growth

Key Responsibilities

• Partner with Logistics leadership and regional teams to translate operational needs into analytics solutions
• Collaborate with global and regional leaders to standardize and scale logistics analytics solutions
• Act as a business process expert and contribute to knowledge management, documentation, and continuous improvement  
• Stay current on industry and analytics trends to identify opportunities for new technologies and practices
• Act as the functional SME for logistics reporting and analytics tools, enabling faster insights and improved effectiveness
• Support process efficiency, automation, and controls initiatives across logistics operations to improve operations.
• Co‑develop AI‑ready analytical data models with data engineering and operations teams to enable action‑oriented logistics insights
• Design and deliver reporting for logistics KPIs, including transportation, service, cost, and execution performance
• Ensure data availability, reliability, quality, validation, and reconciliation across all logistics analytics products
• Lead design reviews, functional QA, and governance for dashboards, reports, and analytics solutions
• Identify logistics and transportation process, service and cost improvement opportunities, including AI‑enabled use cases
• Ideate, prototype, and iterate solutions using analytical tools such as Power BI, python etc. balancing analytical rigor with usability
• Plan and support analytics deployments, including documentation and delivery readiness

Minimum Qualifications

• Bachelor’s degree in engineering, computer science, information systems, supply chain, or a related field
• Experience in analytics, logistics, transportation, supply chain, or business process roles
• Good SAP experience in Logistics function.
• Excellent analytical and problem‑solving skills with strong attention to detail
• Proficiency in Power BI and working knowledge of SQL, Python, Azure and Snowflake.
• Strong communication, organization, and collaboration skills
• Proven ability to drive change management and value realization through analytics solutions
• Ability to manage multiple initiatives in a fast‑paced environment
• Experience working in Warehouse Management System (WMS) and Transportation Management System (TMS)
• Working knowledge of ETL processes and data warehousing

Preferred Qualifications

• Experience working with SAP logistics, transportation and warehousing.
• Experience working with Transportation management systems such as Blue Yonder, Mercury Gate etc will be added advantage.
• Experience working with Warehouse management systems such as Körber etc will be added advantage.
• Advanced degree or certification in supply chain, logistics, analytics, or computer science such as ASCM CLTD etc.

Experience Level

Mid Level