Navan is seeking a highly analytical and detail-oriented analyst to join our team as Revenue Operations Analyst. The ideal candidate will be responsible for analyzing prospect's travel and expense data in order to understand the revenue opportunity. You will use Excel and Google Slides extensively to create a slide deck and present the analysis to clients.
What You'll Do:
- Collect, clean and analyze travel and expense data from prospect customers
- Work across global teams and segmented sales teams to run analysis and presentations
- Create presentation of value savings with clear and concise visualizations of data and insights
- Managing financial calculators to determine business value of high priority sales deals
- Support deals through middle and bottom of opportunity funnel
- Present the analysis to managers, directors, and executives at prospects’ companies and handle objections
- Arbitrate critical data points related to opportunities between pre and post sales teams
- Manage a queue of inbound tickets and prioritize them based on predefined logic
- Adhere to SLA to ensure meeting requirements for internal and external customers
- Communicate effectively with both technical and non-technical stakeholders
- Implement feedback from internal experts and identify opportunities for process improvement to ensure consistency globally
What We're Looking For:
- 2-3 years experience working with large data sets and synthesizing actional insights
- Strong analytical skills and attention to detail in working with financial data
- Intermediate to advanced skills with excel, google sheets and Google Slides is a must
- Excellent problem-framing, problem solving and project management skills, willingness to be flexible and adapt to change
- Willingness to do repetitive tasks while consistently meeting a high bar of quality
- Excellent verbal and written communication skills
- Ability to present in front of executives and handle objections
- Strong analytical and creative problem solving skills, preferably with experience in financial modeling
- Strong business acumen: ability to approach complex business problems in a structured way and drive rapidly towards insight
- BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research, Engineering) or BS/MBA in Finance, Economics, Business Analytics
- Experience in B2B SaaS, Finance, or FP&A is a plus
- Experience with SQL a plus, but not required
- Prior work experience in consulting
- Motivated individual with a passion for financial analysis and enjoy presenting insights and working heavily with our sales team, we encourage you to apply for this position.
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.
Top Skills
Navan Palo Alto, California, USA Office
3045 Park Blvd, Palo Alto, CA, United States, 94304
Navan San Francisco, California, USA Office
181 Fremont St. 23rd Floor , San Francisco, CA, United States, 94105
Similar Jobs at Navan
.png)
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
