Finance Automation & Analytics Co-op

Boston Scientific•Marlborough, MA

22h•Hybrid

About The Position

The Finance Automation & Analytics Co-op supports the evaluation, prioritization, and delivery of business process improvement opportunities involving data, automation, and artificial intelligence. Working with subject-matter experts, process owners, and technical team members, the co-op documents current processes, gathers baseline data, and assesses the potential value and feasibility of opportunities in the project intake backlog. This hands-on role is at the intersection of finance, accounting, business process engineering, data, AI, and automation. The position follows a hybrid work model and requires employees to be in the local office at least three days per week. The work location is 300 Boston Scientific Way, Marlborough, Massachusetts. Relocation and housing assistance are not available. The co-op must be available to start January 11, 2027, and commit to a minimum six-month program. Boston Scientific will not provide employment-visa sponsorship for this position.

Requirements

Currently pursuing a bachelor’s or master’s degree in Finance, Accounting, Business, Business Analytics, Information Systems, or Data Analytics, with an expected graduation date of December 2027 or May 2028.
Proficiency in Microsoft Excel, including working with structured data and using Excel to organize, analyze, and interpret information.
Eligible to work in the United States without company sponsorship, now or in the future, for employment-based work authorization.
Reliable transportation to and from 300 Boston Scientific Way, Marlborough, MA 01752.
Available to start January 11, 2027, and commit to a minimum six-month co-op program.

Nice To Haves

Experience or coursework in finance, accounting, business analysis, process improvement, or automation.
Familiarity with automation, data analysis, or programming tools such as Power Automate, Power BI, SQL, Excel, or Python.
Understanding of AI, ERP systems, Agile methodologies, or technical solution development.
Strong analytical, problem-solving, communication, and organizational skills.
Ability to collaborate across teams, manage priorities, and learn new technologies.

Responsibilities

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, including transaction volume and 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 business and technical audiences.