Digital Transformation & Change Management Analyst

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