Digital Transformation & Change Management Analyst

Ampcus Inc.•Reedsville, PA

About The Position

Ampcus Inc. is seeking a Digital Transformation & Change Management Analyst to support digital tools and change management focused on improving manufacturing operations. The role leads data template strategy and technical data delivery, designs master data structures and analytical solutions, and translates business requirements into scalable technical solutions aligned with data warehousing standards. It also develops reporting and analytics concepts, applies statistical methods and data visualization, and leads process improvement initiatives. The position supports adoption of digital tools in manufacturing operations by developing communication plans and role-based training materials, delivering training, and tracking completion for go-live readiness. It maintains documentation of master data processes, procedures, and guidelines. The digital tools workstream aims to provide real-time production visibility, notify supervisors and operators about component build status, and alert management to missed intervals and production risks. Adoption readiness supports a planned Q4 2026 go-live, with objectives including reducing manual reporting, improving labor utilization, and increasing visibility across manufacturing work cells.

Requirements

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

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 Improvement, 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 master data structures that account for analytics requirements and support efficient data use and informed decision-making.
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.
Apply statistical methods and data visualization to address complex requests and extract actionable insights.
Lead process improvement initiatives for reporting and analytics processes.
Develop analytical solutions across business areas and promote collaboration and knowledge sharing.
Lead technical data delivery for projects and coordinate implementation activities.
Design and document technical solutions for complex requirements using tools such as Hadoop, Informatica, R, Python, and Tableau.
Develop and execute communication plans for operators, supervisors, and managers to support digital tool implementations.
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 effective use of new systems and processes.
Maintain documentation of master data processes, procedures, and guidelines.