Senior Analytics Engineer, Finance

Additional Location(s):  US-MA-Marlborough; US-MN-Maple Grove 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 Finance team is seeking a Senior Analytics Engineer to join the Business Intelligence and Analytics pillar within the Global HQ FinOps team. Over the past two years, GHQ FinOps has built a strong foundation in standardized reporting, global data assets, and process excellence. As the team continues to evolve, this role will support the design, development, enhancement, and operational support of scalable enterprise financial data and analytics solutions. Working closely with Finance, IT, and business partners, the analyst will translate business needs into technical solutions, develop and maintain analytics-ready data assets, deliver scalable reporting and analytics capabilities, and contribute to initiatives that strengthen data-driven decision-making across FP&A. This role will work across the analytics stack, leveraging technologies including Snowflake, SQL, Python, and PowerBI, while applying sound data architecture, modeling, engineering, and development practices.   This is a hybrid position (in office minimum three days per week) with flexibility to be based in Marlborough, MA or Mape Grove, Minnesota.  You will have the opportunity to discuss your preferred working location with your Talent Acquisition Specialist.     The Senior Analytics Engineer will report to the Senior Manager, Finance Analytics & Business Intelligence within the Global HQ FinOps team. This position has a high degree of collaboration amongst the Finance Forward team, as well as interaction with corporate and divisional financial planning & analysis teams. The culture of the team is collaborative, flexible, and solutions-oriented, with team members willing to contribute across broader team responsibilities.     Key Responsibilities

Analytics Engineering & Solution Development: Design, develop, test, deploy, and maintain scalable financial data and analytics solutions that enable planning, forecasting, close, performance management, and business decision-making. Translate business requirements and complex analytical needs into well-designed technical solutions. Data Engineering & Transformation: Develop and maintain data transformations, reusable datasets, and analytics-ready data assets using Snowflake, SQL, Python, and related technologies. Apply engineering best practices to create solutions that are scalable, maintainable, performant, and reliable. Data Architecture & Modeling: Design and maintain reporting datasets, dimensional data models, semantic layers, and transformation logic. Apply data architecture and modeling best practices to ensure financial data is structured consistently and can be effectively reused across reporting and analytical use cases. Business Intelligence Development: Develop and enhance dashboards, reports, semantic models, and analytical applications using Power BI and related technologies, with an emphasis on performance, scalability, usability, and consistent business logic. Business & Technical Partnership: Partner with Finance and business stakeholders to understand business processes, identify opportunities, define requirements, and translate business problems into technical designs and data solutions. Apply critical thinking to challenge assumptions, clarify requirements, and recommend solutions that address underlying business needs. AI & Emerging Technologies: Identify and apply AI