Data Analyst

Description

• Build analytics & dashboards in Power BI (or equivalent software) for SIOP cadence, capacity loading, quoted vs. actual labor, and schedule health; publish dashboards as needed for broad visibility.
• Enhance data collection efficiency by implementing automated and digitized processes. Utilize applications, barcode scanners, and intuitive interfaces to streamline data entry and ensure quick, accurate access to information.
• Provide technical guidance and training to operators and team members to enhance process understanding.
• Operational reporting: trend cycle time, takt time, lead time, on time delivery, and rework; establish KPI definitions and refresh schedules aligned to management review.
• Evaluate and integrate new technologies or automation to streamline workflows.
• Conduct troubleshooting and root cause analysis to address inefficiencies and defects.
• Collaborate with cross-functional teams, including engineering, quality, operations and safety, to resolve technical issues.
• Collect, analyze, and interpret operational data to identify trends and inefficiencies, then deliver actionable recommendations that boost productivity and minimize waste across processes.
• Data governance & documentation: maintain data dictionaries, metric specs, and SOPs; ensure ISO‑aligned, auditable processes for data collection and reporting.
• Quality & QMS analytics: analyze customer satisfaction, conformity to product requirements, and process characteristics to identify preventive actions and continuous improvement opportunities.
• Develop governed data models and pipelines to unify data from ERP, production trackers, QA/QC logs, purchasing/BOM sources, and other data sources.
• Determine and track departmental goals.

Requirements

• Ability to work safely.
• Experience with process improvement methodologies (Lean, Six Sigma, etc.).
• Self-motivated and works well with or without supervision.
• Personal computer skills required.
• Good organizational skills and a methodical approach to work.
• Detailed oriented, able to read and interpret drawings, BOMs, options, shop details, etc.
• Strong Excel skills (Power Query, pivoting/unpivoting, advanced formulas) and comfort with SQL for querying and shaping data.
• Experience analyzing manufacturing metrics (throughput, WIP, yield, defects, takt/cycle/lead time).
• Must have a good attendance record and have a strong sense of personal responsibility.
• Strong analytical and problem-solving abilities.
• Proficiency in data analysis and technical software (Excel, Sage100, Office 365, Power Bi).
• Ability to work on multiple projects simultaneously.
• Hand-eye coordination is necessary to operate testing instruments, tools, computers and various pieces of office equipment.
• Effective communication skills both written and verbal

Benefits

• Opportunity for advancement
• Health insurance
• Vision insurance
• Dental insurance
• Wellness resources
• Bonus based on performance
• 401(k) matching

Training + Development

Interview process

Visa Sponsorship

Security clearance