Job Title: Strategic Data Analyst (Financial)
Location: San Francisco, CA
Duration: 6 months
Description:
Duties:
Manager's note:
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, Businss Management, or a related field..
Note:
• 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."