Description
Internship Duration:
Start date: 15 June 2026
End date: 21 August 2026
ROLE DESCRIPTION: The Salesforce Finance organization includes a number of teams working together to provide insight into the company’s financial performance. As a Finance Intern, you will have exciting opportunities to work directly with global teams to impact the present and future of Salesforce, with a particular focus on driving Agentic innovation, business partnering, and data-driven insights for Finance.
In this role, you will be assisting managers within one of the Salesforce Finance functions: Controllership, Revenue Operations, Finance & Strategy, Treasury, Compliance, Procurement, Internal Audit, and the Office of the CFO.
Your responsibilities will range from financial statement review and analytics, business compliance audits, and accounting, to operational process improvements and driving team connection within the organization. You will contribute to finance transformation by exploring, experimenting with, and applying technologies to enhance efficiency and decision support.
This includes opportunities to:
Produce technology capabilities, such as building simple automations for processes or tasks
Design analytical models (e.g., descriptive, diagnostic, predictive, or prescriptive models) to support better decision-making
Integrate data flows across multiple systems to streamline data retrieval and analysis
Assist in the creation and refinement of digital decision support tools, Learn to design, build, or maintain dashboards in business intelligence software (e.g., Tableau, PowerBI) to automate financial reporting and track key performance indicators (KPIs)
Contribute to initiatives involving advanced analytics, machine learning (ML), and artificial intelligence (AI), to solve complex financial problems and enhance decision-making
Help in communicating data-driven insights through compelling storytelling and visualizations to various stakeholders.
The insights you will gain after spending the summer in a fast-paced and challenging environment will provide you with not only a valuable professional experience, but also connection with a community of interns, professional development, and a look into the innovative world of Salesforce.
MINIMUM REQUIREMENTS:
• Currently studying Business, Finance, Economics, Accounting, Computer Science, Data Science, Mathematics, or a similar field, expected to graduate in 2027
• Exceptional communication skills, both written and verbal, with the willingness to speak in front of senior leaders and large groups.
• Strong Excel and/or Google Sheets modeling and data analytics skills, with a foundational understanding of how to apply data insights.
• Intellectual curiosity, fueled by a proactive approach to continuously expand one’s skillset, particularly in digital technologies, data, and AI.
• Highly motivated, self-aware, collaborative, and responsive.
PREFERRED REQUIREMENTS:
• PowerPoint/Google Suite presentation building skills, with an aptitude for data storytelling and visualization to convey financial insights effectively.
• Complex and creative problem-solving abilities, including translating business requirements into data-driven or AI solutions.
• Must be comfortable with changing requirements and priorities.
• Passion for process improvement and challenging the status quo through technological innovation and automation.
• Detail-oriented to ensure accuracy in completion of tasks.
• Must be results and service oriented and have a strong ability to make and communicate progress with incomplete information.
• Ability to multitask effectively in a fast-paced, quickly changing environment.
• Ability to work cross-functionally (in person/virtually) and an ability to influence at all levels within the organization, collaborating with finance and technology teams.
• A team player, with a willingness to go above and beyond to deliver excellence, and to do whatever is required to get the job done.
• A fun, curious, and open-minded personality, with an eagerness to learn new things and is not afraid to ask questions.
• Familiarity or foundational knowledge in programming languages (e.g., Python), data manipulation libraries (e.g., Pandas), machine learning concepts, or AI tools.
• Interest in data governance, data quality frameworks, and data architecture principles.