Quality Analytics Engineer II

Arden Hills, MN

Full-time

Onsite

$72K/yr - $136K/yr

Entry, Mid Level

Boston Scientific is a leader in the health industry, providing opportunities for employees to grow and take on important challenges. The Quality Analytics Engineer II will support the Quality Engineering and Manufacturing organization by performing advanced data analysis, reporting, and automation 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