Senior Analytics Engineer

About RampRamp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives. More than 25,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year.Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, 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.Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies.About the RoleWe’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 DoFull stack analytics engineering development, building models to consume, transform, and expose data to stakeholders and production systemsDrive a culture of experimental design, testing agenda, and best practicesContribute 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 wayCollaborate with P / E / D / D (product, engineering, data and design) teams to develop product roadmaps and measure successWork 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 actionWhat You NeedStrong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queriesFamiliarity with BI tools (preferably Looker, Mode, Tableau or equivalent) and experience distributing data insights via reports and dashboardsTrack record of shipping high quality products and features at scaleAbility to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutionsNice-to-HavesExperience 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 spaceFamiliarity with B2B enterprise sales cycle metrics and processesAbout Our TeamsProduct 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.Benefits (for U.S.-based full-time employees)100% medical, dental & vision insurance coverage for youPartially covered for your dependentsOne Medical annual membership401k (including employer match on contributions made while employed by Ramp)Flexible PTOFertility HRA (up to $5,000 per year)WFH stipend to support your home office needsWellness stipendParental LeaveRelocation support for NYPet insuranceOther noticesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Compensation Range : $136K - $175KLocationNew York, San Francisco, Remote (US or Canada)TypeFull timeDepartmentDataCompensation$136K – $175K

• Offers Equity

Salary : $136,000 - $175,000