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Everywhere Ventures
Everywhere Ventures

Senior Analyst, Data Analytics

IT, Data Science
New York, NY, USA
Posted on Tuesday, June 11, 2024

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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

Ramp is in a critical phase of growth. We grew immensely in 2023 and are building out a talented business systems team to ensure we maintain this trajectory for years to come. You’ll work directly with our Sales, Marketing, Partnerships, and Product teams to build and manage data tables and visualizations for our stakeholders. This is a key role where you will be uniquely positioned to impact the full picture of Ramp’s growth efforts through data and analytics visualization.

What You’ll Do

  • Analytics development, building models to consume, transform, and expose critical go-to-market data to stakeholders and production systems
  • 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 GTM teams to standardize and report on our key metrics across the Sales organization
  • Work closely with data engineering teams to capture, move, store, and transform raw data into actionable insights and partner with business teams to turn those insights into action

What You Need

  • Familiarity with BI tools (preferably Looker, Mode, Tableau, or equivalent) and experience distributing data insights via reports and dashboards
  • Strong SQL knowledge (preferably Redshift, Snowflake, BigQuery) including writing efficient queries
  • Strong foundational understanding of Salesforce CRM capabilities and reporting functionality
  • 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


  • Experience with the modern data stack (Hubspot / Looker / Salesforce / 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

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.