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# Sr. Manufacturing Data Analyst

- **Company:** Panasonic North America
- **Location:** De Soto, KS, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Business Analytics Applications, Data Analysis, Business Systems, Information Systems, Data Governance, Data Visualization, Database Queries, Machine Learning, Operational Data Store, Operational Databases, Performance Tuning, Power BI, Standard Sql, SQL Databases, Tableau (Software), Technical Data Management Systems, Information Technology, Data Analytics, Performance Monitor, Tools for Reporting
- **Published:** July 11, 2026
- **Apply:** https://dejobs.org/x/x/6002E47C95724CCC9467FC79C5056108/job/

## About the Role

* Bachelor's degree in Engineering, Data Analytics, Statistics, Operations Research, Business Analytics, Computer Science, Information Systems, Supply Chain Management, or a related technical discipline

Preferred:

 * Master's degree in Engineering, Data Science, Statistics, Operations Research, Business Analytics, or a related technical field
 * Lean Six Sigma Green Belt or Black Belt certification
 * Professional certifications related to data analytics, business intelligence, Power BI, SQL, Tableau, or similar analytical tools, * 7+ years of experience in manufacturing analytics, industrial engineering, operations analysis, business intelligence, data analytics, or a related analytical discipline, including experience supporting high-volume manufacturing operations
 * Demonstrated experience analyzing manufacturing performance metrics (e.g., throughput, OEE, yield, scrap, downtime, productivity, capacity utilization, and quality) and translating findings into actionable business recommendations
 * Experience developing and improving operational reporting, dashboards, KPI scorecards, business intelligence solutions, and performance analytics
 * Experience extracting, validating, and analyzing data from manufacturing and business systems, including MES, ERP, quality systems, maintenance systems, and operational databases
 * Strong analytical, problem-solving, and root cause analysis skills
 * Advanced proficiency in Microsoft Excel, Power BI, Tableau, or similar data visualization and business intelligence tools
 * Working knowledge of SQL and database querying tools
 * Ability to communicate complex analytical findings effectively to technical and non-technical stakeholders, including senior leadership
 * Ability to manage multiple priorities and deliver accurate results in a fast-paced manufacturing environment
 * Must have working-level knowledge of the English language, including reading, writing, and speaking English
 * Alignment to Panasonic's seven (7) core principles (contribution to society, fairness and honesty, cooperation and team spirit, untiring effort for improvement, courtesy and humility, adaptability, gratitude), * 10+ years of experience in manufacturing analytics, business intelligence, industrial engineering, or related analytical disciplines, including experience leading complex analytical initiatives, influencing operational strategy, and serving as a subject matter expert within manufacturing environments
 * Demonstrated ability to influence stakeholders, provide technical leadership, and drive adoption of data-driven decision-making across cross-functional teams
 * Experience supporting executive-level operational reviews, strategic planning activities, and customer-facing reporting requirements
 * Experience in high-volume battery manufacturing or a related industrial environment such as electronics, automotive, or energy storage
 * Experience supporting Industry 4.0, Smart Factory, digital manufacturing, automation, or manufacturing transformation initiatives
 * Experience with forecasting, predictive analytics, statistical modeling, or machine learning applications in manufacturing environments
 * Knowledge of Lean Manufacturing, Six Sigma methodologies, continuous improvement principles, and operational excellence practices
 * Knowledge of manufacturing cost accounting, operational finance, capital project analysis, and business case development, Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. without restriction.

## Description

The Senior Manufacturing Data Analyst serves as a strategic partner to Manufacturing Operations and leadership teams by analyzing manufacturing and business performance data to drive operational excellence, improve decision-making, and support strategic initiatives across lithium-ion battery manufacturing operations while influencing operational strategy, business performance, and manufacturing transformation efforts. This role develops and maintains reporting, dashboards, analytics tools, and performance metrics that provide actionable insights related to safety, quality, delivery, cost, productivity, and customer satisfaction. The Senior Manufacturing Data Analyst leverages data from manufacturing systems, MES, ERP, quality, maintenance, and operational databases to identify trends, optimize manufacturing performance, support operational planning, and enable data-driven business decisions related to capacity expansion, automation, digital transformation, and continuous improvement., * Analyzes production performance across all manufacturing processes, including Electrode Manufacturing, Cell Assembly, Formation, Aging, Packaging, and Material Handling Operations

 * Monitors throughput, OEE, yield, downtime, scrap, labor productivity, capacity utilization, inventory performance, customer delivery metrics, and cost-per-unit trends
 * Develops, maintains, and continuously improves operational reporting, dashboards, KPI scorecards, visualizations, and executive-level performance reports that support leadership decision-making, business reviews, audits, and customer requirements
 * Extracts, validates, analyzes, and governs data from MES, ERP, Quality, Maintenance, and other manufacturing systems to ensure accuracy, consistency, and standardized reporting practices
 * Supports annual operating plans, production forecasting, capacity planning, workforce planning, and capital investment analysis activities

Performance Optimization & Continuous Improvement:

 * Identifies performance gaps, operational trends, manufacturing constraints, and business opportunities, providing strategic analytical recommendations to improve operational performance
 * Conducts root cause analysis related to production losses, quality issues, process variability, and operational inefficiencies
 * Develops forecasting tools, predictive models, and analytical solutions that support operational planning, decision-making, and evaluation of operational and financial impacts
 * Supports Lean Manufacturing, Six Sigma, and operational excellence initiatives through performance measurement and reporting
 * Leads large-scale analytics, reporting automation, and performance-improvement initiatives by establishing priorities, defining analytical strategies, coordinating cross-functional execution, and tracking business outcomes
 * Champions Industry 4.0, Smart Factory, digital manufacturing, automation, and operational transformation initiatives through the development and implementation of innovative analytical solutions and advanced performance measurement strategies

Training & Team Support:

 * Serves as the primary subject matter expert for manufacturing analytics, reporting, and performance measurement, providing strategic guidance to manufacturing leadership and cross-functional teams on KPI strategy, reporting methodologies, and analytical best practices
 * Exercises independent judgment in determining analytical approaches, prioritizing business needs, and developing innovative solutions to support manufacturing performance and business objectives
 * Provides guidance, training, and consultation to stakeholders on KPI management, reporting requirements, data interpretation, and analytics tools to support data-driven decision-making
 * Provides technical mentorship and promotes data literacy, analytical best practices, and a culture of data-driven decision-making throughout the organization

Cross-Functional Collaboration & Communication:

 * Collaborates with cross-functional stakeholders across Operations, Engineering, Quality, Supply Chain, Maintenance, Finance, HR, IT, and Digital Manufacturing to address operational challenges and achieve business objectives
 * Presents findings, recommendations, and performance insights to manufacturing leadership and senior management
 * Supports customer audits, operational reviews, business reviews, and customer-facing reporting requirements
 * Develops business cases and provides data-driven recommendations that influence operational, strategic, and capital investment decisions
 * Supports manufacturing expansion, startup, and scale-up activities through data analysis and performance reporting

Quality, Safety, & Compliance:

 * Ensures the accuracy, integrity, consistency, and timeliness of manufacturing and operational data
 * Maintains compliance with company policies, reporting standards, data governance requirements, and applicable regulatory requirements
 * Supports safety, quality, environmental, and operational compliance initiatives through reporting and performance analysis
 * Promotes a culture of continuous improvement, accountability, and operational excellence
 * Follows all Panasonic safety policies, procedures, and workplace expectations

Personal Protective Equipment (PPE) Requirements:

 * To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator.

The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.


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