Manufacturing Data Analyst (On-Site)

Whelen Engineering; Charlestown (NH); On-site; USD 70,000 - 90,000; Full time

Job summary

Whelen Engineering in Charlestown, NH, is seeking a Manufacturing Data Analyst on-site to transform operations data into actionable insights. You will build dashboards and reports to monitor throughput, yield, downtime, and inventory, partnering with cross-functional teams.

The role emphasizes data accuracy, clear storytelling, and practical recommendations that improve safety, quality, delivery, and cost. Strong analytics background and hands-on manufacturing exposure are preferred.

Qualifications

• Bachelor’s degree in a related field or equivalent practical experience.
• 3+ years of data analysis focusing on operations, supply chain, or manufacturing analytics.
• Hands‑on experience in operations environments such as manufacturing or distribution.
• Strong skills in Excel and data visualization tools (Power BI/Tableau).
• Experience querying data with SQL or similar tools and understanding key metrics.

Responsibilities

• Analyze data across operations, manufacturing, quality, maintenance, and inventory to identify trends and risks.
• Develop and maintain dashboards, reports, and scorecards tracking throughput, yield, downtime, and more.
• Partner with cross‑functional teams to translate business needs into data‑driven solutions.
• Validate data accuracy, document data sources, and refresh processes.
• Support continuous improvement by quantifying opportunities and measuring impact.
• Use data to aid capacity, labor planning, scheduling, inventory optimization, and supplier performance.
• Create clear presentations and recommendations for leadership and stakeholders.
• Improve data collection, reporting standards, and analytics workflows.

Skills

3+ years data analysis

Operations analysis

Data storytelling

Attention to detail

Education

Bachelor’s degree in Operations Management, Supply Chain, Engineering, Business Analytics, Data Analytics, Statistics, Information Systems, or related field

Tools

Microsoft Excel

Power BI

Tableau

SQL

Job description

Manufacturing Data Analyst (On-Site)

Department: Office NH

Employment Type: Full Time

Location: Charlestown, NH

Description

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.

Key Responsibilities

• 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.

Skills, Knowledge and Expertise

• 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, trade‑offs, 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.