Financial Analyst

Responsibilities

The Financial Analyst - Pricing & Revenue Management is responsible for maintaining accurate and timely pricing data across internal tools, systems, and third-party platforms to support revenue optimization and operational performance. This role serves as a key point of coordination between field teams, Finance, Operations, Sales, and IT - ensuring pricing integrity across all channels and providing actionable data insights that drive business decisions

• Maintain and update pricing across internal systems, third-party platforms, and pricing tools with accuracy and within established timelines.
• Serve as a primary point of contact for field teams on pricing-related questions, updates, and implementation support.
• Monitor and audit pricing data integrity across all systems, identifying and resolving discrepancies proactively.
• Support the execution of pricing strategies, promotional changes, and revenue management initiatives.
• Collaborate cross-functionally with Finance, Operations, IT, Sales, and Business Optimization teams to ensure pricing changes are communicated and implemented accurately.
• Contribute to process improvement efforts that increase efficiency, reduce manual work, and strengthen data governance around pricing.
• Support project coordination and implementation for new pricing tools, system integrations, or rate structure changes.
• Perform additional analytical, reporting, and pricing-related duties as assigned.
• May perform other duties as needed and/or assigned.

Qualifications

• Bachelor's degree in Finance, Business, Economics, Data Analytics, or a related field; or equivalent work experience required.
• Strong proficiency in Microsoft Office Suite, with advanced skills in Excel (pivot tables, VLOOKUP/XLOOKUP, Power Query) and PowerPoint.
• Experience working with data visualization or business intelligence tools (e.g., Qlik, Power BI, Tableau) preferred.
• Working knowledge of programming or query languages (SQL, Python, or R) preferred; willingness to learn required.
• Demonstrated ability or willingness to leverage AI tools (e.g., Microsoft Copilot, ChatGPT, or similar) to improve workflow efficiency, automate repetitive tasks, and accelerate data analysis.
• Strong analytical mindset with attention to detail and a commitment to data accuracy.
• Effective communication skills with the ability to work cross-functionally and support field teams.
• May be required to travel up to 10% of the time; travel subject to change based on business needs.