At Boston Scientific, we advance science for life by delivering meaningful innovations that improve patient outcomes, and 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.
Requirements
- 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.
- Experience with data engineering, analytics engineering, or marketing analytics.
- Ability to work with tools like Tableau.
- Experience with data governance standards.
- Experience with Agile development environment.
Responsibilities
- 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.
Other
- 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.
- Ability to work cross-functionally and communicate complex data concepts to non-technical stakeholders.
- Must be able to work in a hybrid work model requiring employees to be in the local office at least three days per week.
- Relocation assistance is not available for this position currently.
