Ramp

Senior Analytics Engineer | Risk

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What Ramp is looking for in applicants

Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 3,000 businesses are using Ramp to process billions in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.

Founded in 2019, Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.

What You'll Do

  • Influence data and analytics process, tools, and systems that will allow us to make better decisions in a scalable way
  • Responding to data requests from the product and business teams
  • Maintaining a library of dashboards and queries in Redash that are guaranteed to be accurate
  • Defining the core data marts in the data warehouse, which are cleaned, simple, denormalized schemas that allow for easy data exploration and is the single source of truth, providing consistent definitions of derived data
  • Documenting each field in the core data mart with clear and accurate descriptions
  • Testing assumptions about underlying data to ensure consistency
  • Working with the risk and card teams during feature development to ensure data marts are updated with new fields or tables

What You'll Need

  • Minimum 4 years of relevant work experience
  • Strong knowledge of SQL (preferably PostgreSQL 11.x and newer) and writing efficient SQL queries
  • High proficiency in using BI tools (i.e. Redash, Looker, Tableau) and creating dashboards
  • Track record of shipping high quality products and features at scale

Nice to Haves

  • BS (or higher) in Computer Science or a related technical field, or equivalent technical experience
  • Familiarity with dbt (data build tool) and data warehouses (i.e. Redshift, Snowflake)
  • Experience with Datadog (in particular APM), Fivetran and Salesforce
  • Solid understanding of statistics and industry best practices around data transformations
  • Passion for, or curiosity to learn, financial technology

Ramp Benefits (for U.S. based employees)

  • 100% medical, dental & vision insurance coverage for you
    • Partially covered for your dependents
  • 401k (including employer match)
  • Parental Leave
  • Unlimited PTO
  • WFH stipend to support your home office needs
  • Monthly wellness stipend
  • Annual education reimbursement
  • Relocation support

Want some tips on how to get an interview at Ramp?

What is Ramp looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
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How to land an interview at Senior Analytics Engineer | Risk?
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