Financial Analytics Intern
Posted 7 Oct 2026
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Internship
No salary listed for this role.
Field of studyAccounting, Business Analytics, Data Science, Finance (or related)
Study levelBachelor's
Staples is business-to-business. You’re what binds us together.
We're searching for you: fresh talent with new ideas, innovation, passion, and drive to bring to Staples. We have student and graduate opportunities where you’ll help the Staples, Inc. organization be more successful and productive while building a purposeful career. Whether you are looking for a summer internship, co-op, or an entry-level role, we’ll help you develop the technical and soft skills you need to thrive in the future.
Target Start Date: June 7, 2026 - August 20, 2026 (11-week program)
Team Summary: The Business Automation and Optimization team partners across Staples Finance to drive continuous improvement through data-driven insights, analytics, and automation. We support functions such as Corporate Accounting, Supply Chain FP&A, Order to Cash, Collections, Accounts Payable, and Vendor Relations. Our team is cross-trained to promote collaboration, flexibility, and skill development.
Position Overview: The Financial Analytics Intern will support the team by assisting in data analysis, reporting, and process improvement initiatives. This role offers hands-on experience with the financial data, tools, and technologies that drive business decisions and operational efficiency. The intern will work closely with analysts and business partners to learn how data is transformed into actionable insights.
Duties & Responsibilities:
Impact on Business
- Assist in gathering and preparing data for reporting and analysis.
- Help build basic dashboards and visualizations using tools like Excel, Tableau, or Power BI.
- Support documentation of financial processes and automation efforts.
- Participate in identifying opportunities for process improvement and efficiency.
- Contribute to internal presentations and reporting packages.
Innovation & Change
- Learn and apply data transformation techniques using tools such as Alteryx or Python (as applicable).
- Stay curious and explore new ways to streamline manual tasks.
- Participate in team discussions around automation and analytics strategy.
Decision-Making & Judgment
- Apply critical thinking to identify patterns and trends in data.
- Ask questions and seek guidance on complex issues.
- Take initiative on assigned tasks while escalating challenges appropriately.
Communication & Collaboration
- Collaborate with team members and cross-functional partners.