About Ramp
Ramp is the ultimate platform for modern finance teams. Combining corporate cards with expense management, bill payments, vendor management, accounting automation and more, Ramp's all-in-one solution is designed to save businesses time and money, and free finance teams to do the best work of their lives. Our mission is to help build healthier businesses, and it’s working: over 25,000 businesses on Ramp to save an average 5% and close their books 8x faster. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables tens of billions of dollars in purchases each year. Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies.
The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart. In 2023, Ramp was named Fast Company’s #1 Most Innovative Company in North America, LinkedIn’s #1 Top Startup in the U.S., a CNBC Disruptor, and a TIME100 Most Influential Company.
About the Role
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
What You’ll Do
Full stack analytics engineering development, building models to consume, transform, and expose data to stakeholders and production systems
Drive a culture of experimental design, testing agenda, and best practices
Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
Work with closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
What You Need
Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
Familiarity with BI tools (preferably Looker, Mode, Tableau or equivalent) and experience distributing data insights via reports and dashboards
Track record of shipping high quality products and features at scale
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice-to-Haves
Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
Experience within the payments and financial technology space
Familiarity with B2B enterprise sales cycle metrics and processes
About Our Teams
Product Analytics | Ramp’s Product Analytics team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
Risk & Capital Markets Analytics | Ramp’s Risk Analytics team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
Growth Analytics | Ramp's Growth Analytics team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
Compensation
The annual salary/OTE range for the target level for this role is $136,000-$160,000 + target equity + benefits (including medical, dental, vision, and 401(k)
Benefits (for U.S.-based full-time employees)
100% medical, dental & vision insurance coverage for you
Partially covered for your dependents
One Medical annual membership
401k (including employer match on contributions made while employed by Ramp)
Flexible PTO
Fertility HRA (up to $5,000 per year)
WFH stipend to support your home office needs
Wellness stipend
Parental Leave
Relocation support for NY
Pet insurance
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Compensation Range: $136K - $160K
