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Boston Scientific
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January 9, 2026
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Quality Analytics Engineer II

Arden Hills, MN
Full-time
Onsite
$72K/yr - $136K/yr
Entry, Mid Level
Boston Scientific is a leading company in the health industry, dedicated to innovation and collaboration. The Quality Analytics Engineer II role focuses on supporting Quality Engineering and Manufacturing through advanced data analysis and delivering scalable analytics solutions to enable data-driven decision-making.
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Responsibilities

  • Design, develop, and maintain end-to-end analytics solutions, including data extraction, transformation, modeling, and visualization
  • Develop and optimize complex SQL queries across enterprise databases
  • Analyze and integrate data from SAP, MES and related manufacturing systems
  • Build interactive dashboards and reports using Power BI and/or Tableau
  • Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency
  • Partner with Process/Quality Engineering, Management teams, and IT to define data requirements and reporting needs
  • Analyze quality trends, operational KPIs, and process performance
  • Support automation and analytics enablement using Python, Power Automate, and scripting tools
  • Assist in defining data standards, metrics definitions, and documentation
  • Support ad-hoc and recurring analytics requests from Quality, Manufacturing, and Operations stakeholders
  • Contribute to continuous improvement initiatives through data-driven insights
  • Displays problem solving/communication skills

Qualification

Required

  • Bachelor's degree in Engineering, Data Analytics, Computer Science, Information Systems, or a related field
  • Minimum of 2 years of experience in data analytics, business intelligence, or analytics engineering
  • Strong proficiency in SQL and relational databases
  • Hands-on experience with Power BI and/or Tableau
  • Experience working with ERP systems (e.g., SAP, MES)
  • Solid understanding of databases, data structures, data modeling, ETL concepts, and analytics best practices
  • Strong knowledge of Excel (pivot tables, functions, data manipulation, etc.)
  • Familiarity with cloud data platforms (e.g., Azure, Snowflake, AWS)
  • Knowledge of manufacturing and quality KPIs (defect trends, yield, throughput, cycle time, etc.)

Preferred

  • Experience in medical device, life sciences, or regulated manufacturing environments
  • Working knowledge of Python for data analysis and automation
  • Experience with automation tools like Microsoft Power Automate, and platforms such as Microsoft Forms and Sharepoint
  • Problem Solving Certification (Green Belt, CQE, Six Sigma, etc.)
  • Ability to collaborate and influence across multiple, cross-functional teams
  • Strong communication skills (verbal and written)
  • Strong analytical and problem-solving skills with attention to detail
  • Proven ability to gather and document requirements, model processes, and translate business requirements into effective analytics solutions

Benefit

  • Core and optional employee benefits offered by Boston Scientific
Boston Scientific is a medical technology company that designs and develops medical devices to diagnose and treat a wide range of condition.
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Founded in 1979
Marlborough, Massachusetts, USA
10001+ employees
http://www.bostonscientific.com
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