About the position
The Financial Analysis & Planning (FP&A) Intern will support the FP&A team by assisting with financial reporting initiatives, data validation and cleanup efforts, and process improvement projects aimed at increasing reporting efficiency. Reporting directly to the Corporate FP&A Manager, this role provides hands-on exposure to real-world financial analysis and cross-functional collaboration. This internship is designed to offer meaningful learning experiences, allowing the intern to develop advanced analytical, technical, and communication skills while contributing to projects that support FP&A and Accounting team priorities.
Responsibilities
• Support financial reporting initiatives by validating, cleansing, and maintaining financial data used in reporting.
• Assist with “clean-up” projects involving legacy files and datasets that contain outdated or excessive information.
• Help improve reporting efficiency by modifying data connections and applying advanced Excel techniques.
• Support the Accounting team with ad-hoc analytical and financial projects, as needed.
• Work on multiple projects simultaneously, effectively managing priorities and deadlines.
• Participate in User Acceptance Testing (UAT) for Power BI reporting enhancements.
• Collaborate cross-functionally with FP&A, Accounting, and other business partners.
• Communicate findings and progress clearly to peers and senior leadership.
• Ability to travel and/or work onsite up to 10% for business needs, company events, and internship program activities.
• Performs other duties as assigned or apparent.
Requirements
• High School Diploma required.
• Currently a Junior or Senior pursuing a 4-year Bachelor’s degree in Finance, Data Science, or a related field.
• Proficiency in Microsoft Office Suite (e.g. Excel, PowerPoint, Word, SharePoint), with a proficient level of experience in Microsoft Excel.
• Strong analytical mindset with attention to detail and a commitment to data accuracy.
• Tech-savvy with the ability and willingness to learn internal and external systems.
• Strong understanding or interest in data validation, analysis, and modeling processes.
• A highly detail-oriented nature while also maintaining discretion when handling confidential information.
• The ability to act and operate appropriately in both a remote and in-office setting.
• Ability to work cooperatively and collaboratively with all levels of employees and management to maximize performance, creativity, problem solving, and results.
• Excellent verbal and written communication skills, with the ability to speak effectively with both employees of the organization and external vendors.
• Strong organizational skills with the ability to manage multiple priorities and deadlines.
• A proactive, can-do attitude with a willingness to take ownership of tasks and drive them to completion.