Senior Commercial Data Analyst - Corporate Accounts

Boston Scientific•Arden Hills, MN

7d•$85,000 - $161,500•Hybrid

About The Position

Boston Scientific’s Corporate Accounts division is seeking an experienced Senior Commercial Data Analyst – Corporate Accounts to support our data product development efforts. In this role, you will create impactful data visualizations and tools to support multiple functions within the Corporate Accounts division. You will partner closely with field sales and marketing teams, focusing on enhancing the user experience and user interface to deliver actionable data insights and drive process efficiencies. Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the Top 100 list, reflecting the culture our employees experience every day.

Requirements

Bachelor’s degree in data science, business analytics, computer science, software engineering, mathematics, statistics or equivalent technical and professional experience.
Minimum of 3 years' experience analyzing complex data sets, developing insightful visualizations, and creating impactful analytical tools and reports.
Expert-level proficiency in SQL, including experience handling complex queries, enhancing database performance and deriving actionable insights from large-scale data.
Experience with modern data stack tools, particularly Snowflake, or similar data technologies.
Demonstrated ability to challenge conventional approaches, identify unique solutions and foster creative ideas.

Responsibilities

Develop and design interactive Tableau dashboards and reports that effectively tell the business story through data visualization, ensuring clarity, accuracy and impactful insights for stakeholders; provide training and support for end users.
Design, develop and maintain the data operating model for Corporate Accounts, including governance, workflows, user roles and responsibilities necessary for effective and efficient delivery.
Collaborate with Corporate Accounts leadership and Technology Enablement teams to define and execute an AI and analytics roadmap to improve business performance and decision-making while reducing administrative burden.
Partner with stakeholders to understand their data needs, translate those needs into data visualizations and prioritize project plans based on strategic goals and value.
Coordinate with divisional data product managers and IT to determine data requirements for project work, identify and resolve data inconsistencies, prioritize critical defects, and provide support and alternative solutions.
Communicate project status, data insights and technical concepts clearly to business stakeholders, executives and end users.