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Job Title: Digital Transformation & Change Management Analyst
Location:  Reedsville, PA (Onsite)
Duration:  12+ Months (Possible Extension)
Pay Range: $50.00/Hr. to $56.00/Hr. on W2 (All Inclusive)

Job Responsibilities:

• Leads data template strategy from design through implementation, serving as a trusted advisor to Supply Chain Teams and ensuring alignment with organizational objectives.
• Designs and constructs complex master data structures with a deep understanding of analytics needs, enhancing efficiency and optimizing data utilization to facilitate more insightful analysis and decision-making.
• Translates intricate business requirements into scalable technical solutions that meet data warehousing design standards, enabling effective data management and analysis under minimal supervision.
• Defines concepts and scenarios to guide the development of reporting and analytics solutions, ensuring clarity and alignment with business objectives.
• Utilizes statistical methods and data visualization techniques to address high-complexity requests, extracting actionable insights from data to inform decision-making processes.
• Leads process improvement projects to enhance the efficiency and effectiveness of reporting and analytics processes, driving continuous improvement and innovation.
• Applies a global approach to analytical solutions, both within a business area and across the organization, fostering collaboration and knowledge sharing.
• Leads technical data delivery for projects, coordinating the implementation of data solutions and ensuring successful project outcomes.
• Designs and documents technical solutions to complex requirements using various tools, including HADOOP, Informatica, R, Python, and Tableau.
• Supports change management activities related to digital tool implementations by developing and executing communication plans to ensure alignment across operators, supervisors, and managers.
• Develops, maintains, and delivers role-based training materials and sessions to support the adoption of new digital tools, processes, and workflows within manufacturing operations.
• Coordinates and tracks training completion, supporting go-live readiness and ensuring stakeholders are equipped to effectively utilize new systems and processes.
• Maintains comprehensive documentation of master data processes, procedures, and guidelines to facilitate knowledge sharing and ensure continuity of operations.

Requirements:

• Minimum required Education: Bachelor's or Master's Degree in Data Science, Business Analytics, Supply Chain, Information Systems, Operations Research, Manufacturing/Industrial Engineering, or equivalent.
• Minimum required Experience: Minimum of 2 years of experience with a Bachelor's degree in areas such as Data Analysis, Supply Chain Management, Operations, or equivalent; OR no prior experience required with a Master's degree.

Preferred Skills:

• Supply Chain Management (SCM)
• Data Analysis & 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)
• Continuous Improvement

Pay Rate: $54.88 per hour
Location: Reedsville, PA Responsibilities:

• Lead data template strategy from design through implementation, serving as a trusted advisor to Supply Chain Teams and ensuring alignment with organizational objectives.
• Design and construct complex master data structures with a deep understanding of analytics needs, enhancing efficiency and optimizing data utilization to facilitate more insightful analysis and decision-making.
• Translate intricate business requirements into scalable technical solutions that meet data warehousing design standards, enabling effective data management and analysis under minimal supervision.
• Define concepts and scenarios to guide the development of reporting and analytics solutions, ensuring clarity and alignment with business objectives.
• Utilize statistical methods and data visualization techniques to address high-complexity requests, extracting actionable insights from data to inform decision-making processes.
• Lead process improvement projects to enhance the efficiency and effectiveness of reporting and analytics processes, driving continuous improvement and innovation.
• Apply a global approach to analytical solutions, both within a business area and across the organization, fostering collaboration and knowledge sharing.
• Lead technical data delivery for projects, coordinating the implementation of data solutions and ensuring successful project outcomes.
• Design and document technical solutions to complex requirements using various tools, including HADOOP, Informatica, R, Python, and Tableau.
• Support change management activities related to digital tool implementations by developing and executing communication plans to ensure alignment across operators, supervisors, and managers.
• Develop, maintain, and deliver role-based training materials and sessions to support the adoption of new digital tools, processes, and workflows within manufacturing operations.
• Coordinate and track training completion, supporting go-live readiness and ensuring stakeholders are equipped to effectively utilize new systems and processes.
• Maintain comprehensive documentation of master data processes, procedures, and guidelines to facilitate knowledge sharing and ensure continuity of operations.

Requirements:

• Bachelor's or master's degree in data science, Business Analytics, Supply Chain, Information Systems, Operations Research, Manufacturing/Industrial Engineering, or equivalent.
• Minimum of 2 years of experience with a bachelor's degree in areas such as Data Analysis, Supply Chain Management, Operations, or equivalent; OR no prior experience required with a Master's degree.

Preferred Skills:

• Experience in Lean Manufacturing, Supply Chain Engineering, and working in the implementation of Digital Tools within production environments.
• Preferred Skills:
  • Supply Chain Management (SCM)
  • Data Analysis & 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)
  • Continuous Improvement

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

 

Job Title: Digital Transformation & Change Management Analyst

Location(s): Reedsville, PA


Job Responsibilities

• Lead data template strategy from design through implementation, serving as a trusted advisor to Supply Chain teams and ensuring alignment with organizational objectives.
• Design and construct complex master data structures with a strong understanding of analytics requirements to improve efficiency, optimize data utilization, and support informed analysis and decision-making.
• Translate complex business requirements into scalable technical solutions that meet data warehousing design standards, enabling effective data management and analysis with minimal supervision.
• Define concepts and scenarios to guide the development of reporting and analytics solutions, ensuring clarity and alignment with business objectives.
• Apply statistical methods and data visualization techniques to address complex requests and extract actionable insights that support decision-making.
• Lead process improvement initiatives to enhance the efficiency and effectiveness of reporting and analytics processes.
• Develop analytical solutions using a global approach across business areas, promoting collaboration and knowledge sharing.
• Lead technical data delivery for projects, coordinating implementation activities and ensuring successful outcomes.
• Design and document technical solutions for complex requirements using tools such as Hadoop, Informatica, R, Python, and Tableau.
• Support change management activities 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 to support the adoption of digital tools, processes, and workflows within manufacturing operations.
• Coordinate and track training completion to support go-live readiness and ensure stakeholders can effectively use new systems and processes.
• Maintain comprehensive documentation of master data processes, procedures, and guidelines to support knowledge sharing and operational continuity.

Required Qualifications
Education

• 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.

Experience

• 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.

Certification

• No specific certification required.

Preferred Qualifications and Skills
Preferred Experience

• Experience in Lean Manufacturing.
• Experience in Supply Chain Engineering.
• Experience implementing digital tools in production environments.

Preferred Skills

• 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)
• Continuous Improvement

Position Details
This position supports change management and training for a digital tools workstream focused on improving manufacturing operations. The role helps deliver digital capabilities that provide real-time visibility into production activities, notify supervisors and operators of component build status, and alert management to missed intervals and potential production risks.

The position supports adoption readiness and the planned Q4 2026 go-live, with objectives that include reducing manual reporting, improving labor utilization, and increasing production visibility across manufacturing work cells.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

Summary:

Pay Rate: 54.88 per hour

Location: Reedsville, PA

Responsibilities:

• Lead data template strategy from design through implementation, serving as a trusted advisor to Supply Chain Teams and ensuring alignment with organizational objectives.
• Design and construct complex master data structures with a deep understanding of analytics needs, enhancing efficiency and optimizing data utilization to facilitate more insightful analysis and decision-making.
• Translate intricate business requirements into scalable technical solutions that meet data warehousing design standards, enabling effective data management and analysis under minimal supervision.
• Define concepts and scenarios to guide the development of reporting and analytics solutions, ensuring clarity and alignment with business objectives.
• Utilize statistical methods and data visualization techniques to address high-complexity requests, extracting actionable insights from data to inform decision-making processes.
• Lead process improvement projects to enhance the efficiency and effectiveness of reporting and analytics processes, driving continuous improvement and innovation.
• Apply a global approach to analytical solutions, both within a business area and across the organization, fostering collaboration and knowledge sharing.
• Lead technical data delivery for projects, coordinating the implementation of data solutions and ensuring successful project outcomes.
• Design and document technical solutions to complex requirements using various tools, including HADOOP, Informatica, R, Python, and Tableau.
• Support change management activities related to digital tool implementations by developing and executing communication plans to ensure alignment across operators, supervisors, and managers.
• Develop, maintain, and deliver role-based training materials and sessions to support the adoption of new digital tools, processes, and workflows within manufacturing operations.
• Coordinate and track training completion, supporting go-live readiness and ensuring stakeholders are equipped to effectively utilize new systems and processes.
• Maintain comprehensive documentation of master data processes, procedures, and guidelines to facilitate knowledge sharing and ensure continuity of operations.

Requirements:

• Bachelor's or master's degree in data science, Business Analytics, Supply Chain, Information Systems, Operations Research, Manufacturing/Industrial Engineering, or equivalent.
• Minimum of 2 years of experience with a bachelor's degree in areas such as Data Analysis, Supply Chain Management, Operations, or equivalent; OR no prior experience required with a Master's degree.

Preferred Skills:

• Experience in Lean Manufacturing, Supply Chain Engineering, and working in the implementation of Digital Tools within production environments.
• Preferred Skills:
  • Supply Chain Management (SCM)
  • Data Analysis & 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)
  • Continuous Improvement