Senior Analytics Engineer, Finance

Boston Scientific; Maple Grove (MN); Hybrid; USD 89,000 - 170,000; Full time

Job summary

Boston Scientific is seeking a Senior Analytics Engineer to join the Global HQ FinOps BI pillar. You will design, build, and operate scalable financial data solutions across FP&A.

The role collaborates with Finance, IT, and business partners to deliver analytics that drive data-driven decisions. The position is hybrid (in-office at Marlborough, MA or Maple Grove, MN) with leadership in analytics engineering, data modeling, and BI development using Snowflake, SQL, Python and Power BI.

Qualifications

• Bachelor's degree in Finance, Accounting, Analytics, Computer Science, Information Systems, or related field.
• 3+ years in analytics engineering, data engineering, BI development, or similar technical analytics role.
• Strong analytical and problem-solving skills with experience in financial reporting or BI solutions.
• 5+ years with relational databases such as Snowflake, AWS, MS SQL, HANA, or similar.
• 5+ years using SQL and exposure to Python, VBA, or similar languages.

Responsibilities

• Design, develop, test, and maintain scalable financial data and analytics solutions.
• Develop data transformations and analytics-ready data assets using Snowflake, SQL, Python.
• Design reporting datasets and dimensional models to ensure data consistency.
• Develop dashboards and semantic models using Power BI or Tableau.
• Partner with Finance and business stakeholders to translate requirements into technical designs.
• Identify and apply AI capabilities to improve decision-making and efficiency.
• Provide production support for data pipelines and BI solutions.
• Integrate data from Snowflake, AWS, MS SQL, SAP, HANA, and Oracle Hyperion/EPM Cloud.
• Document data definitions, transformation logic, and governance practices.

Skills

Analytical thinking

Problem solving

Communication

Time management

Team collaboration

Education

Bachelor's degree in Finance, Accounting, Analytics, CS, IS

Tools

Snowflake

SQL

Python

Power BI

Tableau

Job description

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 Maple 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 capabilities, including Snowflake Cortex, to solve business problems, improve decision-making, and drive process efficiencies.
• Production Support and Run Operations: Provide operational support for Finance data and BI solutions by monitoring performance, troubleshooting data pipelines and reporting issues, resolving production defects, supporting scheduled refreshes, and ensuring reliable delivery of analytics products.
• Data Integration & Validation: Integrate, transform, reconcile, and validate data from financial and enterprise systems including Snowflake, AWS, MS SQL, SAP, HANA, Oracle Hyperion/EPM Cloud, and related platforms to ensure data accuracy and completeness.
• Data Quality, Testing & Documentation: Develop and execute data validation, reconciliation, and testing approaches. Maintain technical documentation, data definitions, transformation logic, and solution designs to support governance, maintainability, reporting accuracy, and established controls.
• Continuous Improvement: Evaluate enhancement requests, identify opportunities to simplify and modernize existing solutions, and contribute to standards and best practices for analytics engineering, development, testing, deployment, documentation, and data governance.
• Team Collaboration & Learning: Contribute to team initiatives, participate in technical design discussions, share knowledge and development practices, support project delivery, and stay current on analytics engineering, cloud data platforms, BI technologies, and Finance analytics best practices.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Analytics, Computer Science, Information Systems, or a related field.
• 3+ years of experience in analytics engineering, data engineering, business intelligence development, data analytics, or a similar technical analytics role.
• Strong analytical, critical-thinking, and problem-solving skills, with experience supporting financial reporting, data analysis, or business intelligence solutions.
• 5+ years of experience with relational databases such as Snowflake, AWS, MS SQL, HANA, or similar platforms.
• 5+ years of experience using SQL and exposure to Python, VBA, or other programming/scripting languages for data analysis and automation.
• Experience developing and maintaining reports and dashboards using business intelligence tools such as PowerBI or Tableau.
• Proficiency in Microsoft Excel, including Power Query, and the Microsoft 365 suite.
• Working knowledge of data architecture, dimensional/data modeling, ETL/ELT patterns, data transformation, data validation, and data quality best practices.
• Strong written and verbal communication skills with the ability to communicate technical concepts to business users.
• Detail-oriented with strong organizational and time management skills.
• Ability to manage multiple priorities and work both independently and collaboratively in a fast-paced environment.

Preferred Qualifications

• 5+ years of experience in analytics engineering, data engineering, business intelligence development, data analytics, or a similar technical analytics role.
• Experience supporting financial reporting, FP&A, or other finance-related analytics.
• Exposure to enterprise data platforms and cloud technologies such as Snowflake, AWS, or Azure.
• Experience supporting production reporting environments, troubleshooting data or reporting issues, and implementing enhancements.
• Experience with development lifecycle and engineering practices such as Git/version control, CI/CD, automated testing, and deployment processes.
• Basic knowledge of Finance Reporting Systems such as Oracle Hyperion/EPM Cloud, SAP, or similar ERP and financial planning systems.
• Familiarity with statistical analysis, forecasting techniques, or predictive analytics.
• Exposure to automation, machine learning, or generative AI technologies is a plus.
• Experience working in Agile or Scrum delivery environments; Agile certification is a plus.
• Demonstrated ability to prioritize competing work, meet deadlines, and maintain a high level of accuracy and customer service.
• Demonstrated curiosity, continuous learning mindset, and ability to adapt to new technologies and evolving business needs.

Requisition ID: 633984

Minimum Salary: $89200

Maximum Salary: $169500

For MA positions:

It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.