At a glance
Senior Analyst, Economic Research and Special Projects is an open full-time job at Ramp (New York, NY (HQ) · Hybrid).
| Company | Ramp |
|---|---|
| Location | New York, NY (HQ) · Hybrid |
| Type | Full-time |
| Department | Data |
| Pay | Create a free account to see the pay |
| Posted | 2026-08-31 |
| Found on | Ashby |
About this job
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian , lead economist.
We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions.
You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders.
This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on.
What You Need
- 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects.
- Strong perspectives on the economics of AI, economic policy, new media, and writing
- Strong knowledge of SQL
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
- Active reader of the news in economics, business, and AI trends
- An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ourselves)
Nice-to-Haves
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Experience within the payments and financial technology space
Benefits available to all full-time Ramp employees (Global)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
United States
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
Canada
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
United Kingdom
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @ Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice
Questions about this job
Where is the Senior Analyst, Economic Research and Special Projects job at Ramp?
New York, NY (HQ). The role is hybrid.
What does the Senior Analyst, Economic Research and Special Projects job at Ramp pay?
The listing states a pay range. Create a free account on this site to see it.
Is this a full-time or part-time job?
The listing describes it as Full-time.
How do I apply to Ramp?
Create a free job seeker account on this site, then use the Apply button to open the employer's own posting.
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