Digital Transformation & Change Management Analyst

Elyon International•Reedsville, PA

About The Position

The Digital Transformation & Change Management Analyst leads data-template strategy from design through implementation and advises Supply Chain teams to ensure alignment with organizational objectives. The role designs complex master-data structures, translates business requirements into scalable technical solutions, and defines concepts and scenarios for reporting and analytics solutions. It uses statistical methods and data visualization to address complex requests and deliver actionable insights. The analyst leads process-improvement projects and technical data delivery, applying analytical solutions across business areas and the wider organization. The role designs and documents technical solutions using tools including HADOOP, Informatica, R, Python, and Tableau. It also supports change management for digital-tool implementations by developing communications plans, creating and delivering role-based training, tracking training completion, and supporting go-live readiness. The analyst maintains documentation of master-data processes, procedures, and guidelines.

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; a master's degree requires no prior experience.

Nice To Haves

Experience in Lean Manufacturing.
Experience in Supply Chain Engineering.
Experience 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, and Manufacturing Execution Systems (MES).
Experience with continuous improvement.

Responsibilities

Lead data-template strategy from design through implementation and advise Supply Chain teams on alignment with organizational objectives.
Design complex master-data structures informed by 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 address complex requests and extract actionable insights.
Lead process-improvement projects for reporting and analytics processes.
Apply analytical solutions across business areas and the organization, fostering collaboration and knowledge sharing.
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 new 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.