Manufacturing Data Analyst

MSA, The Safety Company•Cranberry Township, PA

About The Position

The Manufacturing Data Analyst gathers, validates, and analyzes manufacturing and supply chain data to support operational improvement and business decisions. The role evaluates workflows and processes using numerical and statistical analyses, develops cost-benefit analyses and recommendations, monitors performance against targets, and identifies underperforming areas and potential resolutions. The analyst owns and publishes key performance indicators and provides daily, weekly, and monthly reporting to business partners and senior leaders. They compile information from multiple sources and create measurement systems, forecasts, dashboards, data models, and automated tools that support cost, quality, delivery, and daily business management. The role works with end users and IT to define KPI logic and data requirements, select appropriate data repositories, maintain data integrity, and develop dashboards based on user feedback and reporting standards. Additional work includes coordinating data and dashboard refreshes, capturing data not available in production systems, evaluating automation opportunities, supporting implementations and user acceptance testing, developing training, and improving access to supply chain data and analytics. The position may be hired at one of three experience levels, ranging from 0–2 years to 4 or more years of relevant experience.

Requirements

Level 1: 0–2 years of relevant experience in manufacturing or operational data and analytics.
Level 2: 2–4 years of manufacturing or operational analytics experience.
Level 3: 4 or more years of manufacturing or operational analytics experience.
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Logistics, Supply Chain Management, Business, or a related discipline.

Nice To Haves

Project management experience.
Experience with ERP systems such as SAP.
Advanced experience with MS Office products, including Excel, PowerPoint, Access, and Word.
Experience leading a cross-functional team without direct authority over its members.
Experience extracting data from BI or other database sources, validating it, and conducting advanced analytics.

Responsibilities

Analyze data, workflows, and processes using numerical and statistical methods; develop cost-benefit analyses and recommendations for improvement.
Create measurement systems, reports, and forecasts to support cost, quality, and delivery.
Own key performance indicators and publish results at the frequency established by the business.
Conduct advanced data analysis using tools such as Power BI and Excel.
Compile and reconcile data from multiple sources for use by business partners and senior leaders.
Provide daily, weekly, and monthly reporting and analysis to business partners and senior leaders.
Gather and analyze data to improve supply chain operations.
Identify underperforming areas and recommend improvements or resolutions.
Create processes and methods for gathering supply chain data.
Monitor performance against targets and trends, identify problematic areas, and recommend solutions.
Monitor data and system rules to ensure data integrity.
Build centralized tools, including dashboards, that enable the Global Operations team to access data and insights for daily management in an automated manner.
Work with end users to define KPI details, business logic, and requirements for new dashboards.
Translate user requirements into technical requirements and collaborate with IT on appropriate data repositories, balancing agility and long-term maintainability.
Create and optimize data models that accurately reflect business reality and account for system constraints.
Develop and refine data visualizations collaboratively, using dashboarding best practices and user feedback.
Test solutions thoroughly and proactively identify and resolve data integrity issues.
Develop user training for dashboards and analytics platforms to increase organizational adoption.
Educate users on maintaining data that feeds reports and liaise with appropriate IT resources when needed.
Develop internal training to make processes repeatable as the supply chain analytics function expands.
Capture data unavailable in existing production systems and ensure it can be validated and used continuously in dashboards without manual intervention.
Coordinate dashboard refreshes with external systems to ensure data reliability before publication.
Evaluate automation opportunities and platforms to reduce manual errors and non-value-added work across the supply chain.
Perform project management functions for new business implementations and lead departmental action items and tasks.
Identify and prioritize efforts to support and improve supply chain analytics.
Collaborate with IT professionals to implement 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 tools across the Supply Chain organization.
Prioritize supply chain datasets for migration into BI and data repository systems to improve access to organizational data.