turing
FinOps Analyst
At a Glance
- Location
- Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India; Pune, Maharashtra, India
- Experience
- 6+ years
- Posted
- 2026-04-02T05:33:05-04:00
Key Requirements
Required Skills
Domain Knowledge
- Accounting
- Automation
- Legal
Requirements
3–6+ years in FP&A/FinOps/Accounting with hands‑on ownership of purchasing and expense workflows.
SQL and BI tooling experience required; strong Excel/Google Sheets; NetSuite (or similar ERP) and Salesforce exposure preferred.
Business partnering:
Strength in variance analysis, forecasting, and KPI design; able to translate data into action.
Responsibilities
finance partner to Accounting and the business
for end‑to‑end purchasing and operating expense processes.
support variance analysis and expense forecasting, and build crisp reporting packages for leadership.
You will improve policy adherence, reduce “shadow spend,” and raise the signal‑to‑noise ratio in our opex so leaders can make faster, better decisions.
Serve as the Finance point of contact for
Zip (intake/PO), Concur (T&E), and Ironclad (contracts)
About the Company
Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions.
Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT.