Financial Data Analyst

• Job Title: Financial Data Analyst
• Location: San Francisco, CA
• Duration: 6 months

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.