Consolidate requirements, develop and implement data concepts and/or analyze, interpret and report on data and related information for the business or domain assigned.
Gather and evaluate business needs with respect to data and develop data models that best meet the information requirements.
Develop and implement concepts for improving data-related processes, and recommend appropriate IT systems for utilization.
Consolidate data rules, analyze, extract and enrich data, proceed with complex mass data changes and resolve data quality issues.
Build or configure reports and analytical solutions to generate additional information from data based on given toolsets.
Enable and support stakeholders in the data network and share guidelines, standards and best practices with the organization.
Support the planning, rollout, and adoption of S4 HANA and related applications.
Implement IT systems and tools that enhance planning, logistics, and supply chain processes.
Create and maintain logistics and planning master data in alignment with global standards.
Participate in regional and local S4 HANA team meetings, providing insights and feedback from the manufacturing plants.
Work directly within manufacturing and logistics environments to understand system impact and operational needs.
Train end users on S4 HANA and related systems, promoting consistent standards and best practices.
Enable and support stakeholders within the larger data network, sharing knowledge and fostering adoption

Bachelor’s degree in Industrial Engineering, Logistics, or Technical field of study
3 to 5 years experience overall with proven experience in production planning, logistics, supply chain management, or process optimization.
Hands-on experience with ERP systems, ideally SAP R/3 or S/4HANA, and manufacturing planning/logistics systems.
Strong analytical skills with the ability to consolidate, interpret, and act on complex datasets.
Ability to apply systematic approaches and continuous improvement methodologies (Lean, Six Sigma, etc.).
Comfortable working near manufacturing and logistics equipment as needed to support operational processes.
Applicants must be authorized to work in the US without employment VISA or other sponsorship.

Data & Analytics Specialist

Key skills