Digital Transformation & Change Management Analyst

Elyon International•Reedsville, OH

About The Position

The Digital Transformation & Change Management Analyst leads data template strategy from design through implementation, advising Supply Chain Teams and ensuring alignment with organizational objectives. The role designs complex master data structures, translates business requirements into scalable technical solutions that meet data warehousing standards, and defines concepts and scenarios for reporting and analytics solutions. It applies statistical methods and data visualization to complex requests, leads process improvement projects, and develops analytical solutions across business areas and the organization. The analyst leads technical data delivery for projects and designs and documents solutions using tools including HADOOP, Informatica, R, Python, and Tableau. The role also supports change management for digital tool implementations by preparing and executing communications, developing and delivering role-based training, and tracking training completion to support go-live readiness. It maintains documentation of master data processes, procedures, and guidelines to enable knowledge sharing and operational continuity.

Requirements

Bachelor's or Master's degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, Manufacturing/Industrial Engineering, or equivalent.
With a bachelor's degree, at least 2 years of experience in Data Analysis, Supply Chain Management, Operations, or equivalent; alternatively, no prior experience is required with a master's degree.

Nice To Haves

Experience in Lean Manufacturing, Supply Chain Engineering, and implementing digital tools in production environments.
Skills in Supply Chain Management (SCM), data analysis and interpretation, data architecture, process improvements, statistical methods, business acumen, business intelligence tools, database management systems (DBMS), Structured Query Language (SQL), data warehousing (DW), regulatory requirements, training delivery, Enterprise Resource Planning (ERP) systems, Manufacturing Execution Systems (MES), and continuous improvement.

Responsibilities

Lead data template strategy from design through implementation, advising Supply Chain Teams and aligning work with organizational objectives.
Design and construct complex master data structures based on analytics needs to improve efficiency and data utilization.
Translate business requirements into scalable technical solutions that meet data warehousing design standards.
Define concepts and scenarios for reporting and analytics solutions aligned with business objectives.
Use statistical methods and data visualization to respond to complex requests and extract actionable insights.
Lead process improvement projects for reporting and analytics processes.
Develop analytical solutions using a global approach within business areas and across the organization.
Lead technical data delivery for projects and coordinate implementation of data solutions.
Design and document technical solutions using tools including HADOOP, Informatica, R, Python, and Tableau.
Support change management for digital tool implementations by developing and executing communication plans for operators, supervisors, and managers.
Develop, maintain, and deliver role-based training materials and sessions for digital tools, processes, and workflows in manufacturing operations.
Coordinate and track training completion to support go-live readiness and stakeholder adoption.
Maintain documentation of master data processes, procedures, and guidelines.