Manufacturing Data Analyst (On-Site)
Summary
Analyzes manufacturing and supply chain data to drive operational improvements. Uses SQL, Excel, and Power BI or Tableau to create dashboards and provide actionable insights.
We are seeking a Manufacturing Data Analyst with a strong operations background to help turn manufacturing, supply chain, quality, maintenance, inventory, and business process data into actionable insights. This role is ideal for someone who understands how operations work across functions and can translate operational questions into reliable data, clear dashboards, and practical recommendations that improve safety, quality, delivery, cost, productivity, and customer service.
- Analyze operations, manufacturing, supply chain, quality, maintenance, inventory, and customer service data to identify trends, bottlenecks, risks, and improvement opportunities.
- Develop and maintain dashboards, reports, and scorecards that track key operational metrics such as throughput, yield, scrap, rework, downtime, labor utilization, cycle time, inventory accuracy, schedule attainment, supplier performance, on-time delivery, and customer service levels.
- Partner with operations leaders, production teams, supply chain, planning, quality, engineering, maintenance, finance, and customer-facing teams to understand business needs and translate them into data-driven solutions.
- Validate data accuracy, reconcile discrepancies, and document data sources, definitions, assumptions, and refresh processes.
- Support continuous improvement initiatives by identifying root causes, quantifying opportunities, and measuring the impact of process changes across operational functions.
- Use data to support capacity planning, labor planning, production scheduling, inventory optimization, supplier performance management, quality improvement, and operational performance reviews.
- Create clear, concise presentations and recommendations for operations leadership and cross-functional stakeholders.
- Help improve data collection processes, reporting standards, and analytics workflows across operations.
- Bachelor’s degree in Operations Management, Supply Chain, Engineering, Business Analytics, Data Analytics, Statistics, Information Systems, or a related field; equivalent practical experience may be considered.
- 3+ years of experience in data analysis, operations analysis, supply chain analytics, manufacturing analytics, quality analytics, industrial engineering, or a similar role.
- Hands-on experience working in or closely with an operations environment such as manufacturing, supply chain, distribution, quality, planning, or customer operations.
- Strong proficiency with Microsoft Excel and data visualization tools such as Power BI, Tableau, or similar platforms.
- Experience using SQL or other querying tools to extract, transform, and analyze data from databases, ERP systems, MES platforms, quality systems, supply chain systems, or other operational systems.
- Strong understanding of operational metrics, process flows, constraints, tradeoffs, and continuous improvement concepts.
- Ability to communicate complex data findings in a clear, practical way for both technical and non-technical audiences.
- Strong attention to detail, problem-solving ability, and comfort working with incomplete or imperfect operational data.
Preferred Qualifications
- Advanced proficiency with Microsoft Excel, including formulas, pivot tables, data modeling, data validation, and analysis of large operational data sets.
- Experience building, maintaining, and improving Tableau dashboards, reports, and visualizations for operations, supply chain, quality, or manufacturing teams.
- Ability to translate operational questions into clear Tableau views, KPIs, filters, and scorecards that support decision-making at multiple levels of the organization.
- Experience connecting, cleaning, and validating data from ERP, MRP, MES, CMMS, WMS, CRM, quality management systems, or other operational systems.
- Familiarity with Lean, Six Sigma, value stream mapping, root cause analysis, standard work, or operational excellence practices.
- Knowledge of operational performance measures such as OEE, downtime, yield, scrap, labor efficiency, capacity, inventory turns, forecast accuracy, supplier performance, cost drivers, and service levels.
- Experience supporting multi-site operations or complex environments that include manufacturing, supply chain, quality, or distribution functions.
- Experience evaluating additional analytics, automation, or reporting tools when supported by a clear business need and return on investment.