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Data Analyst I

Epitec Staffing

Little Canada, MN

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JOB DETAILS
SALARY
$29–$31 Per Hour
SKILLS
Analysis Skills, Biotech and Pharmaceutical, Business Analysis, Communication Skills, Continuous Improvement, Corrective Action, Corrective and Preventative Action (CAPA) Systems, Cross-Functional, Data Analysis, Data Management, Data Quality, Data Sets, Data Visualization, Data Visualization Tools, Database Report Tools, Detail Oriented, Documentation, FDA (Food and Drug Administration), GMP (Good Manufacturing Practices), Healthcare, ISO (International Organization for Standardization), Lean Six Sigma, Maintain Compliance, Manufacturing, Manufacturing Analysis, Manufacturing/Industrial Processes, Medical Equipment, Microsoft Excel, Operational Support, Patient Safety, Performance Analysis, Performance Metrics, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Product Development, Product Testing, Quality Assurance, Quality Assurance Methodology, Quality Management, Quality Metrics, Regulations, Regulatory Compliance, Regulatory Requirements, Regulatory Submissions, Reporting Dashboards, Root Cause Analysis, SQL (Structured Query Language), SQL Databases, Statistical Analysis System (SAS), Statistical Sampling, Statistics, Statistics Software, Tableau, Trend Analysis, Vendor/Supplier Quality Management, Writing Skills
LOCATION
Little Canada, MN
POSTED
Today
Job Title: Data Analyst I
Contract Duration: 1 year, possible extension
Location: Little Canada, MN
Work Arrangement: Onsite
Pay Range: $29 - 31/hr

Summary
Seeking a detail-oriented Data Analyst to support quality and operational excellence initiatives across medical device manufacturing and product development. This role is responsible for analyzing quality data related to components, materials, suppliers, and services to ensure compliance with established standards and regulatory requirements. The Data Analyst will leverage data-driven insights to identify trends, support continuous improvement efforts, and help maintain the highest levels of product quality and patient safety.

Responsibilities
  • Analyze quality data for components, raw materials, finished products, suppliers, and services to ensure adherence to quality standards.
  • Collect, validate, and interpret large data sets from manufacturing, quality, and operational systems.
  • Develop and maintain quality metrics, dashboards, and reports to monitor performance and identify trends.
  • Apply statistical analysis, sampling methods, testing methodologies, and quality measures to evaluate product and process effectiveness.
  • Investigate quality trends, deviations, and non-conformances, providing actionable recommendations for improvement.
  • Partner with Quality, Manufacturing, Engineering, Supply Chain, and Supplier Quality teams to support quality initiatives.
  • Assist in root cause analysis and corrective/preventive action (CAPA) activities through data-driven findings.
  • Ensure data integrity, accuracy, and compliance with internal procedures and regulatory requirements.
  • Support audits, inspections, and regulatory submissions by providing analysis and documentation as needed.
  • Identify opportunities for process improvements through data analysis and continuous improvement methodologies.
Required Qualifications
  • Bachelor’s degree in Data Analytics, Statistics, Business Analytics, Engineering, Quality Management, or a related field.
  • 2+ years of experience in data analysis, quality analytics, manufacturing analytics, or a related discipline.
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets.
  • Experience working with statistical methods, sampling techniques, and quality measurement systems.
  • Proficiency with Microsoft Excel and data visualization/reporting tools such as Power BI, Tableau, or similar platforms.
  • Experience querying and managing data using SQL.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience within the medical device, healthcare, pharmaceutical, or highly regulated manufacturing industry.
  • Knowledge of quality management systems (QMS) and regulatory standards such as FDA, ISO 13485, or GMP.
  • Experience with statistical software and data analysis tools.
  • Familiarity with Lean, Six Sigma, or continuous improvement methodologies.
  • Understanding of manufacturing processes, quality testing, and supplier quality management.
Key Skills
  • Data Analysis & Reporting
  • Statistical Analysis
  • Quality Metrics & KPI Development
  • Data Visualization (Power BI, Tableau)
  • SQL & Database Querying
  • Sampling & Testing Methodologies
  • Root Cause Analysis
  • Quality Assurance & Compliance
  • Continuous Improvement
  • Cross-Functional Collaboration

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About the Company

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Epitec Staffing

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