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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
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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
Qualifications 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 xkiyazw 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
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