Sr. Financial Analyst

The Position

The Sr. Financial Analyst is a highly analytical, detail-oriented role at the intersection of finance, financial systems, data, and business analytics. This individual will support and enhance our Financial Systems capabilities while developing the breadth of skills and business knowledge needed to contribute across Sales Operations and Business Analytics as organizational needs evolve. The ideal candidate understands not only how financial data moves through systems, but why the numbers make sense, how changes affect upstream and downstream processes, and how high-quality data enables better business decisions.

This is a hybrid role with a strong preference for candidates located near either our South San Francisco or San Diego office and able to work in the office approximately 2–3 days per week, supporting close collaboration across Finance, Accounting, Sales Operations, Business Analytics, IT, and other stakeholders.

Responsibilities

• Develop a deep understanding of Veracyte's financial master data, including its structure, business purpose, dependencies, and upstream and downstream impacts across financial reporting and business processes.
• Support Financial Systems activities, including system administration, data maintenance, reporting, testing, issue resolution, enhancements, and ongoing process improvement.
• Perform detailed tie-outs and reconciliations across reports, systems, source data, and financial outputs, investigating differences through resolution rather than relying solely on system results.
• Understand the flow of financial information across ERP, planning, reporting, and analytical environments and assess how changes to data, business rules, hierarchies, or master data may affect dependent processes.
• Support month-end, quarter-end, forecasting, budgeting, and other financial reporting processes where Financial Systems expertise and data validation are required.
• Partner closely with Finance, Accounting, Sales Operations, Business Analytics, IT, and other stakeholders to understand business needs and translate them into scalable data, reporting, and systems solutions.
• Participate in system implementations, enhancements, upgrades, integrations, and testing, with particular attention to data integrity and the downstream consequences of system or configuration changes.
• Use AI and emerging technologies thoughtfully to improve analysis, validation, documentation, and process efficiency while maintaining appropriate financial controls and human review.
• Thrive in a rapidly changing environment and navigate ambiguity with confidence, using sound judgment to establish priorities, identify the right stakeholders, assess potential impacts, and move work forward even when requirements or solutions are not fully defined.
• Remain flexible as business needs, systems, data, and technologies evolve.
• Develop knowledge of Sales Operations and Business Analytics data models, metrics, and reporting needs, creating flexibility for the role to support cross-functional analytical priorities as business needs evolve.

Who You Are

You are someone who is equally comfortable asking, "Does this number tie?" and "Does this number make sense?" You enjoy getting into the details of financial data, tracing information through interconnected systems, and understanding the consequences of a change before it is made. You are eager to learn how the business operates and understand not only what the numbers are, but what they mean for the organization and its decisions. You are curious about emerging technology and see AI as a tool to complement sound financial judgment, strong controls, and thoughtful analysis.

Required Qualifications

• Bachelor's degree in Finance, Accounting, Information Systems, Business Analytics, Data Analytics, or a related discipline, or equivalent relevant professional experience.
• Relevant experience working with financial systems, financial reporting, financial data, business systems, analytics, or a closely related function.
• Strong understanding of financial data across accounting, reporting, master data, business processes, and enterprise systems, paired with attention to detail and broader business acumen.
• Demonstrated ability to reconcile, validate, and trace financial data across systems and processes while evaluating the upstream and downstream impacts of data, configuration, reporting, and process changes.
• Strong analytical and problem-solving skills, including the ability to recognize when results are mathematically correct but do not logically make sense from a financial or business perspective.
• AI-forward mindset with curiosity about how AI can responsibly improve financial analysis, systems processes, data quality, and business analytics.
• Strong written and verbal communication skills, with the ability to explain financial and technical concepts clearly to different audiences.
• Ability to independently investigate issues, identify root causes, evaluate impacts, and drive problems toward resolution.
• A continuous-improvement mindset and willingness to question existing approaches while maintaining disciplined financial controls and data integrity.

Preferred Qualifications

• Prior hands-on experience with one or more enterprise financial platforms such as Oracle ERP, SAP ERP, TM1, Cognos or comparable ERP, consolidation, planning, and financial reporting systems.
• Experience supporting enterprise financial master data and reporting systems, including hierarchies, mappings, chart of accounts, data governance, system administration, implementations, integrations, upgrades, testing, and process transformation.
• Exposure to Sales Operations, commercial analytics, business intelligence, or enterprise business analytics.
• Experience working with reporting and analytical tools, large interconnected datasets, and data querying, transformation, visualization, automation, or related technologies that complement financial systems experience.
• Practical experience using AI-enabled tools to accelerate analysis, research, documentation, validation, or process improvement, combined with an understanding that financial outputs require appropriate review and judgment.
• Experience operating in a life sciences, biotechnology, diagnostics, healthcare, or other highly regulated and data-intensive environment.
• Ability to work in a hybrid environment, with a preference for candidates able to be onsite in either South San Francisco or San Diego approximately 2–3 days per week.