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Finance Automation & Analytics Co-op

Job in Marlborough, Middlesex County, Massachusetts, 01752, USA
Listing for: Boston Scientific
Full Time position
Listed on 2026-10-25
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst, IT Business Analyst
  • Business
    Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 44616 - 75816 USD Yearly USD 44616.00 75816.00 YEAR
Job Description & How to Apply Below

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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.

At Boston Scientific, we value collaboration and synergy.

This role follows a hybrid work model, requiring employees to be in our local office at least three days per week.

Relocation and housing assistance is not available for this position.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

We will consider qualified applicants of all ages who are starting (or restarting) their careers

About the role

As a Finance Automation & Analytics Co-op you will support the evaluation, prioritization, and delivery of business process improvement opportunities using data, automation, and artificial intelligence. Working with subject-matter experts, process owners, and technical team members, the co-op will help document current-state processes, gather baseline data, and assess the potential value and feasibility of opportunities in the team’s project intake backlog.

This is a hands-on opportunity for someone interested in working at the intersection of finance, accounting, business process engineering, data, AI, and automation.

Your responsibilities will include:
  • Support initial assessments of automation, analytics, AI-enabled, and other process improvement opportunities.
  • Document current-state workflows, pain points, business rules, controls, exceptions, dependencies, and desired outcomes.
  • Gather and validate process information such as transaction volume, frequency, cycle time, manual effort, error and rework rates, data inputs and outputs, system interfaces, process complexity, and potential time or cost savings.
  • Develop process maps, intake scorecards, assessment summaries, preliminary requirements, and benefit estimates.
  • Review the project intake backlog and help evaluate opportunities based on business value, technical feasibility, complexity, risk, dependencies, and resource requirements.
  • Develop evidence-based recommendations to support project prioritization and selection decisions.
  • Analyze available process and operational data to validate assumptions and help measure expected or realized project outcomes.
  • Identify opportunities to simplify, standardize, automate, or enhance processes using workflow tools, robotic process automation, data solutions, or AI.
  • Translate business needs into clear requirements for business and technical team members.
  • For appropriately scoped projects, support or co-own requirements, solution design, development or configuration, testing, user acceptance testing, deployment, and early production support.
  • Assist with test-case development, defect tracking, stakeholder demonstrations, training materials, and solution documentation.
  • Follow applicable data privacy, information security, financial control, and solution-development standards.
  • Communicate findings, recommendations, project status, and technical concepts clearly to both business and technical audiences.
Required qualifications:
  • Currently pursuing a bachelor’s or master’s degree in Finance, Accounting, Business/ Business Analytics, Information Systems, or Data Analytics with the graduation date of December 2027 or May 2028.
  • Proficiency in Microsoft Excel (i.e. working with structured data and using tools such as Microsoft…
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