Financial Data Analyst

Job Title: Financial Data Analyst Location: San Francisco, CA Duration: 6 months Rate: $50-52/hr. on W2 without benefits OPT and H1B Visa holders PLEASE DO NOT APPLY. Description: We are looking for a Data Analyst with Finance M&A experience. Hybrid role (2 days onsite in a week) for the Sunnyvale and San Francisco locations. The Strategic Business Operations Team (SBO) is looking for a Data Analyst to work in an impactful, collaborative work environment. They will help drive business initiatives critical to the ongoing growth of the team and be responsible for developing a deep understanding of our business model and internal processes. RESPONSIBILITIES • Require 3-5 years of experience to Assist in the development of long-term revenue forecasts and analysis • Lead the development of forecasting models based on market trends, existing licensee sales and new licensee acquisitions • Support patent licensing executives by providing relevant analysis and financial information on prospective licensees • Process diverse sets of information to provide summary-level insights and recommendations • Improve the quality and consistency of data and data management • Help identify opportunities for systems and processes for efficiency, effectiveness, and automation • Problem solving and providing business insights and recommendations • Prepare economic analysis in support of our patent pool engagements by providing analysis of royalty rate and pool structure proposals. • Develop patent valuation analysis supporting IP business development efforts Skills: QUALIFICATIONS • Experience with Microsoft Office suite. • Data Analyst with Finance M&A. • Exceptional financial modeling and analysis skills • Strong data analysis and finance experience • Interest in learning new software applications • Excellent communication skills • Ability to ownership over projects and work independently ELIGIBILITY • Working towards a Bachelor’s degree in Finance, Business Management, or a related field.. • Strong analytical and financial modeling capabilities, including experience conducting market research, competitive intelligence, market sizing, valuation analysis, acquisition diligence, and comparable benchmarking; advanced proficiency in Excel, financial modeling, VBA/macros, and forecasting methodologies. • Advanced technical and data automation skills, with expertise in Python, APIs, SQL/data extraction techniques, and Excel/VBA automation to build scalable workflows, improve data quality, perform trend analysis, and streamline complex business processes. • Experience leveraging AI and emerging technologies to drive business insights, including designing and optimizing AI-enabled research workflows, validating and enriching large datasets, detecting data integrity risks, and delivering actionable insights across global markets and investment ecosystems.