Description
The Tax Data Management & Innovation Graduate Intern will play a key role in developing the tax function using technology.
In this role, you will support tax system updates/improvements and tax service integration projects, partnering closely with tax and non-tax business partners.
This internship is a full-time, six-month commitment in the Orlando, FL area from January 2027 – June 2027.
Responsibilities
- Assist with projects related to business and finance initiatives, prioritizing and managing a slate of overlapping tax requirements, gathering, documenting, and testing.
- Support tax aspects of major business initiatives, including requirement planning, testing, communication & training.
- Assist in the maintenance and support of ONESOURCE Income Tax, ONESOURCE DataFlow and/or Vertex applications.
- Build and optimize dashboards, reports, and automation solutions using Microsoft Power Apps to support tax compliance and data analysis.
- Provide support for project management and collaboration tools, including Workfront and SharePoint.
- Maintain high levels of support by solving issues and responding to requests for data and reports.
- Collaborate with team members and analyze data from multiple sources to identify trends, discrepancies, and opportunities for process improvement.
- Support ad hoc tasks related to special projects and tax technology initiatives.
Required Qualifications & Skills
- Curiosity about tax and technology
- Proven problem-solving skills and strong attention to detail/accuracy
- Self-starter with the ability to work independently
- Strong time management and organizational skills
- Excellent interpersonal skills
- Demonstrated computer skills (e.g., Alteryx, Microsoft Excel, PowerPoint, SQL, APIs, Python, Power Apps, Power BI, AI)
Preferred Qualifications
- Prior experience with the ONESOURCE suite of software applications or Vertex software
- Experience with Alteryx or Python
Education
- Currently enrolled in a graduate degree program in Accounting, Finance, Tax, Data Science, Data Analytics, Computer Science, Information Systems, Economics, or a related quantitative or technical field