Boston Scientific Gruppe
Quality Analytics Engineer II
Boston Scientific Gruppe, Arden Hills, Minnesota, United States
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit- High Performance
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.
About the role: The Quality Analytics Engineer II will support Quality Engineering and Manufacturing organization through advanced data analysis, reporting, automation, and business systems insights. This role focuses on enabling data‑driven decision‑making by integrating data from multiple enterprise systems and delivering scalable analytics solutions.
Work Mode: This role follows an onsite work model requiring employees to be in our Arden Hills, MN office 5 days per week.
Visa Sponsorship: Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.
Relocation: This role will not provide relocation support or assistance.
Your responsibilities will include:
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
Required Qualifications:
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 Qualifications:
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
Minimum Salary:
$ 71,500
Maximum Salary:
$ 135,800
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com— will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.
At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
Compensation for
non‑exempt (hourly), non‑sales roles
may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation for
exempt, non‑sales roles
may also include variable compensation, i.e., annual bonus target and long‑term incentives (subject to plan eligibility and other requirements).
For MA positions : It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
Nearest Major Market:
Minneapolis Job Segment:
Six Sigma, Quality Engineer, Medical Device Engineer, Database, SQL, Management, Engineering, Technology
#J-18808-Ljbffr
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.
About the role: The Quality Analytics Engineer II will support Quality Engineering and Manufacturing organization through advanced data analysis, reporting, automation, and business systems insights. This role focuses on enabling data‑driven decision‑making by integrating data from multiple enterprise systems and delivering scalable analytics solutions.
Work Mode: This role follows an onsite work model requiring employees to be in our Arden Hills, MN office 5 days per week.
Visa Sponsorship: Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.
Relocation: This role will not provide relocation support or assistance.
Your responsibilities will include:
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
Required Qualifications:
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 Qualifications:
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
Minimum Salary:
$ 71,500
Maximum Salary:
$ 135,800
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com— will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs.
At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
Compensation for
non‑exempt (hourly), non‑sales roles
may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation for
exempt, non‑sales roles
may also include variable compensation, i.e., annual bonus target and long‑term incentives (subject to plan eligibility and other requirements).
For MA positions : It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
Nearest Major Market:
Minneapolis Job Segment:
Six Sigma, Quality Engineer, Medical Device Engineer, Database, SQL, Management, Engineering, Technology
#J-18808-Ljbffr