LOCATION:

Palo Alto
San Francisco
Wilson Sonsini is the premier legal advisor to technology, life sciences, and other growth enterprises worldwide. We represent companies at every stage of development, from entrepreneurial start-ups to multibillion-dollar global corporations, as well as the venture firms, private equity firms, and investment banks that finance and advise them. The firm has approximately 1,100 attorneys in 18 offices: 13 in the U.S., three in China, and two in Europe. Our broad spectrum of practices and entrepreneurial spirit allow our staff exceptional opportunities for professional achievement and career growth.
We are seeking a Finance Business Analyst to join our Finance Technology team. This position can be a hybrid work schedule.

EDUCATION AND/OR WORK EXPERIENCE REQUIREMENTS:

• Minimum 4 years experience in business analysis, preferably in finance, enterprise technology, or digital transformation.
• Bachelor’s degree in finance, information technology, or related field.
• Strong experience in requirements gathering, business process analysis, and creating documentation (e.g., user stories, workflows).
• Familiarity with AI, automation tools, or enterprise finance platforms.
• Working knowledge of SQL, with the ability to extract and analyze data to support validation, insights, and informed decision-making.
• Solid understanding of finance operations and workflows—especially time entry, billing, accounts receivable, or collections.
• Proficiency in tools such as Excel, PowerPoint, Jira, Confluence, or process mapping software (e.g., Lucidchart, Visio).
• Experience supporting change management and user adoption in enterprise settings.
• Strong attention to detail with the ability to connect business needs to technical solutions.
• Analytical mindset with experience in basic data analysis and reporting.
• Enthusiastic about innovation, problem-solving, and improving the user experience.
• Proven ability to contribute to cross-functional teams to deliver complex initiatives on time and on budget.
  The primary location for this job posting is in Palo Alto, but other locations may be listed. The actual base pay offered will depend upon a variety of factors, including but not limited to the selected candidate’s qualifications, years of relevant experience, level of education, professional certifications and licenses, and work location. The anticipated pay range for this position is as follows:
  San Francisco and Silicon Valley: $102,000 – $138,000 per year
  The compensation for this position may include a discretionary year-end merit bonus based on performance. We offer a highly competitive salary and benefits package.
  Equal Opportunity Employer (EOE).

• Provide data and analysis for billing, financial and operational data, to identify trends, opportunities and areas for improvement for the firm billing improvement project.
• Develop clear and actionable reports, dashboards and data visualizations to support decision making for the project leadership and stakeholders.
• Collaborate with stakeholders to gather, document and validate business requirements for process improvements and technology solutions.
• Design data driven solutions and process enhancements that align with the billing improvement initiative’s goals for efficiency, faster billing, and improved revenue realization.
• Map current workflows and identify bottlenecks or inefficiencies, and propose streamlined workflows to improve billing and financial operations.
• Assist in the configuration, testing and implementation of new technologies, ensuring solutions meet business requirements and user needs.
• Develop and track KPIs to measure the success of implemented solutions and ongoing process improvements.
• Create detailed documentation, including business requirements, process flows, user guides, and reports.
• Collaborate closely with billing improvement project team and stakeholders to ensure alignment on project goals and deliverables.
• Support testing and validation, identify issues, and ensure solutions meet quality standards before deployment.
• Proactively identify opportunities for data driven improvements and promote a culture of continuous improvement within finance technology.