Manufacturing Data Analyst

Key Responsibilities

• Regularly analyze data, workflow, and processes using numerical and statistical analyses to make quantifiable cost-benefit analyses and recommendations for improvement in areas including in/outbound fill rate, inventory, supply/replenishment planning, cost reduction, distribution, and network optimization.
• Create measurement systems, reports, and forecasts to support cost, quality, and delivery.
• Own key performance indicators (KPIs) and consistently publish results at a business-defined frequency.
• Conduct advanced data analysis using Power BI, Excel, etc.
• Compile and reconcile data from multiple sources into formats usable by Business Partners and Senior Leaders.
• Provide daily, weekly, and monthly reporting and analysis to Business Partners and Senior Leaders.
• Gather data and conduct analysis to improve supply chain operations.
• Identify underperforming areas and recommend improvements and resolutions to issues.
• Create processes and methods to gather supply chain data.
• Collect and analyze data to monitor performance against targets & trends, identify problematic areas, and recommend solutions.
• Monitor data and system rules to ensure data integrity.
• Conceptualize and build centralized tools, including dashboards, for the Global Operations team to extract data/insights for daily business management in an automated manner.
• Work with end-users to gather KPI details, business logic, and data requirements for new dashboards.
• Translate user requirements into technical requirements and collaborate with IT to determine appropriate data repositories, balancing agility and long-term maintainability.
• Create data models to accurately reflect business reality and optimize as necessary for system constraints.
• Visualize data collaboratively using dashboarding best practices and refine dashboards based on key user feedback.
• Test thoroughly and proactively identify and resolve data integrity issues.
• Develop user training for dashboards and analytics platforms to increase adoption.
• Educate users on best practices for maintaining data feeding reports and act as a liaison with appropriate IT resources.
• Develop internal training to ensure repeatable processes as the supply chain analytics function expands.
• Capture data not available in existing production systems, ensuring it can be validated and used in dashboards on an ongoing basis without manual intervention.
• Coordinate dashboard refreshes with external systems to ensure data reliability before publishing.
• Evaluate new automation opportunities and platforms to reduce manual error and non-value-added work.
• Perform project management functions for new business implementations, leading departmental action items/tasks.
• Identify and prioritize efforts to support and improve analytics within the supply chain.
• Collaborate with IT professionals to ensure the implementation of effective systems.
• Enforce global reporting standards and lead efforts to ensure KPIs are globally consistent.
• Create and facilitate user acceptance testing and drive adoption of reporting tool sets across the Supply Chain organization.
• Increase ease of access to organizational data by prioritizing supply chain datasets for migration into BI and data repository systems.

Requirements & Tech Stack

• Power BI
• Excel
• BI (Business Intelligence)
• ERP systems (e.g., SAP)
• MS Office Products (Excel, PowerPoint, Access, Word)

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Logistics, Supply Chain Management, Business, or other related discipline.
• Experience with Project management
• Experience with ERP systems (SAP)
• Advanced Experience with MS Office Products (Excel, PowerPoint, Access and Word)
• Experience in leading a cross-functional team without direct authority
• Experience in extracting data from BI or other DB sources, validating and conducting advanced analytics