Senior Analytics Engineer

Additional Location(s):  N/A

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:

At Boston Scientific, we advance science for life by delivering meaningful innovations that improve patient outcomes. As part of our Marketing Analytics & Insights team, the Senior Analytics Engineer will serve as a key enabler of data-driven decision-making across global marketing teams.

You’ll be responsible for designing and developing robust analytics solutions that power performance insights, campaign optimization, and commercial effectiveness. This role bridges the gap between raw data and business impact by building high-quality, scalable data models and pipelines for use across Boston Scientific's enterprise marketing ecosystem.

 

At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week.

Relocation assistance is not available for this position currently.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time.

 

 

Your responsibilities will include:

• Build and maintain well-documented, modular SQL pipelines and data products to support core marketing activation & Insights, campaign reporting, and channel performance analysis.
• Partner with marketing stakeholders, analysts, and IT to gather requirements and translate them into reliable and repeatable data solutions.
• Lead the development and enhancement of data infrastructure that supports strategic initiatives such as audience segmentation, omnichannel marketing, and ROI analysis.
• Ensure data integrity through rigorous testing, monitoring, and adherence to data governance standards.
• Support integration of external vendor data (e.g., media platforms, CRM, analytics tools) with internal enterprise data sources.
• Use tools like DBT, Snowflake, and Tableau to deliver self-service-ready datasets and intuitive dashboards.
• Collaborate in an Agile development environment and contribute to continuous improvement across the data product lifecycle.
• Ensure Data Integrity and Compliance

 

Required qualifications:

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Business Analytics, Engineering).
• 6+ years of experience in analytics engineering, data engineering, or marketing analytics.
• Deep expertise in SQL and data modeling for marketing or commercial use cases.
• Hands-on experience with modern data stack tools (e.g., DBT, Snowflake, Airflow).
• Strong understanding of marketing data sources such as CRM systems, paid media platforms, and web analytics tools.
• Ability to work cross-functionally and communicate complex data concepts to non-technical stakeholders.

 

 

 

 

Requisition ID: 615329

Minimum Salary: $86600 

Maximum Salary: $164500 

 

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 incen