Finance Operations Associate Intern (Summer 2027)

• As a Finance Intern at Salesforce, you’ll be embedded with one of the Finance functions — Controllership, Finance and Strategy, Treasury, Compliance, Procurement, Internal Audit, or Data and AI
• You’ll work directly with global teams on financial statement review and analytics, compliance audits, accounting, operational process improvement, and AI implementation, helping drive data-driven insights and Agentic innovation for the Finance organization
• Build AI automations for finance processes and tasks, and demonstrate how these capabilities drive measurable impact for the team
• Design analytical models (descriptive, diagnostic, predictive, or prescriptive) to support financial decision-making
• Design, build, or maintain dashboards in business intelligence software (e.g., Tableau, Power BI) to automate financial reporting and track key performance indicators (KPIs)
• Communicate data-driven insights through visualizations and storytelling to stakeholders across Finance
• There are 3 Internship start date options in 2027 (all are 12 week internships):
• GROUP 1: Mid May - Early August
• GROUP 2: Early June- Late August
• GROUP 3: Mid June- Early September

Benefits

• Medical Care
• Life Insurance
• Retirement Savings
• Employee Assistance Programs
• With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year- You have experience using AI Tools and Excel and/or Google Sheets for financial modeling and data analytics
• You have experience with data integration across multiple systems or sources
• Enrolled in a college or university in North America
• Enrolled and currently pursuing a Bachelor Degree in Finance, Accounting, Economics, Business, Data Analytics, or a related field
• You have built or contributed to dashboards or reports in a business intelligence tool (e.g., Tableau, Power BI)
• You have presented findings or analysis to an audience, in writing or verbally
• Returning to school after Summer 2027 to complete your degree
• You have exposure to machine learning concepts or AI tools applied to business problems
• You have familiarity with data governance, data quality frameworks, or data architecture principles
• You have foundational knowledge of programming languages (e.g., Python) or data manipulation libraries (e.g., Pandas)
• You have experience building presentations in PowerPoint or Google Slides for data storytelling- End Date: September 25, 2026