Principal Marketing Data Analyst

Boston ScientificArden Hills, MN
4h$99,100 - $188,300Hybrid

About The Position

We are seeking a Principal Marketing Data Analyst to join our Cardiology Marketing & Digital Enablement (CMDE) team. In this role, you will support our marketing and commercial teams with insights that drive data-informed decision-making and optimized marketing initiatives across digital marketing, campaign performance, customer segmentation, and ROI optimization efforts. The ideal candidate is not only data-savvy but also capable of translating complex data into actionable business insights. Boston Scientific follows a hybrid work model, requiring team members to be on-site at least three days per week on our Maple Grove, MN site to foster strong collaboration and synergy.

Requirements

  • Bachelor's or Master's degree in Marketing, Statistics, Data Science, Economics, or related field.
  • 5+ years of experience in a data analyst or marketing analytics role.
  • Strong proficiency in SQL (ideally in Snowflake) and data manipulation languages.
  • Hands-on experience with data visualization tools (ideally Tableau).
  • Solid understanding of marketing technologies, including site tagging and analytics in Google ecosystem and data payloads to Salesforce
  • Exceptional communication skills — able to translate data into compelling narratives.

Nice To Haves

  • Experience with statistical tools (ideally Python) is a plus.
  • Familiarity with working in regulated industries or with sensitive business data (e.g., healthcare, life sciences).
  • Experience in marketing mix modeling or predictive modeling.
  • Experience with healthcare claims and prescription data.

Responsibilities

  • Data Analysis & Insights: Analyze and interpret complex marketing data across channels (email, web, paid media, CRM, call center, etc.). Identify trends, patterns, and insights to optimize customer acquisition and engagement strategies. Propose and conduct A/B testing and multivariate experiments to improve campaign performance.
  • Reporting & Dashboarding: Design, quality check, and maintain scalable dashboards and reports using tools like Tableau. Provide weekly/monthly/quarterly performance reporting and KPIs for various stakeholders (e.g., campaign ROI, funnel analysis, LTV/CAC).
  • Campaign Measurement & Attribution: Develop robust attribution models to track marketing effectiveness across channels. Partner with media teams to evaluate performance of paid campaigns and optimize spend.
  • Collaboration: Work closely with marketing, product, and strategy teams to align metrics and drive business outcomes.
  • Data / Infrastructure: Collaborate with data engineers to ensure marketing data pipelines are reliable and scalable. Advocate for data quality, integrity, and consistency across all systems.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service