Job description
About the Role
We are seeking a Data 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 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
- 3-5 years of 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.