Financial Analyst only on w2 (USC or GC)

• Financial Analyst
• Sunnyvale,CA(Hybrid)
• Contract

Only on w2 (USC or GC)

• Must-Have Skills
• Transactional finance operations / PO-to-Pay end-to-end ownership Advanced Excel with large data sets (pivots, lookups, modeling, reconciliation) Strong accounting judgment with high attention to detail

• Nice-to-Have Skills
• GenAI program exposure — data annotations or data licensing Experience at an AI lab or AI data/services vendor Prior Meta or comparable large-tech contingent experience in a data/sourcing operations org

• Required
• 4+ years of experience in a finance, accounting, procurement, or vendor operations role with a focus on transactional processing Demonstrated working knowledge of accruals — able to explain and apply the difference between accrued, invoiced, and paid, and build a defensible month-end position where delivery and invoicing are out of sync Solid understanding of OpEx versus CapEx treatment — able to reason about how a given engagement should be classified, what drives capitalization versus expensing, and when to escalate to Accounting rather than deciding alone Strong cashflow literacy — understands the timing gap between contract execution, upfront payment, delivery, acceptance, invoice, and cash out, and how PO structure and payment terms drive it Proficiency with financial management systems (e.g., SAP, Oracle, NetSuite) and MS Office Suite / Google Suite (particularly advanced Excel/Sheets skills) Strong understanding of fundamental accounting principles (AP/AR, general ledger) and financial workflows (PO-to-Pay) Comfortable working with large datasets and operating in ambiguous environments Excellent organizational skills and a high degree of attention to detail Demonstrated ability to communicate effectively, both verbally and in writing, with internal and external stakeholders, including holding a firm line on data quality and approval gates Works with a sense of urgency for critical business requests Customer service oriented person, focused on quality communication with a bias for action Demonstrated use of AI tooling in a finance or operations context, with sound judgment about where AI output can be trusted and where it must be verified — particularly for financial figures, vendor-facing communication, and anything entering a system of record Track record of identifying inefficiencies in an existing process and driving a concrete improvement, with evidence of the impact Comfortable working in spreadsheets and workflow tools at a level beyond basic data entry — building repeatable reconciliations, validations, and checks rather than re-performing them manually each cycle