Senior Analytics Engineer

Ramp (View all Jobs)

New York, Miami, Remote

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


Interview Process

1. Phone interview on a basic applied problem 2. Followed by 2-3 onsite programming interviews that test practical day-to-day software skills.

Programming Languages Mentioned

SQL


Ramp is building the next generation of finance tools—from corporate cards and expense management, to bill payments and accounting integrations—designed to save businesses time and money with every click. Over 5000 businesses are spending an average of 3.3% less and closing their books 8 times faster, thanks to Ramp’s finance automation platform that enables billions of dollars of purchases each year.

Founded in 2019, Ramp has seen nearly 10x year-over-year growth which has led to a valuation of $8.1 billion in just over 3 years. Its investors include Founders Fund, Stripe, Citi, 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. The team is made up of talented leaders from some of the leading financial services and fintech companies—Capital One, Stripe, Affirm, Goldman Sachs, American Express, Visa—as well as high-growth technology companies like Facebook, Spotify, Zendesk, Uber, Dropbox, and Instacart. Recently named Fast Company’s most innovative finance company, Ramp is NYC’s fastest-growing startup and America’s fastest-growing corporate card.

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 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 forward decision making for Ramp in a data-driven way, even in the absence of complete information

  • 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 stakeholders teams to develop roadmaps and define measures of 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 (preferable Looker/Mode/Tableau) 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 / Census or equivalents)

  • Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

  • Experience building, testing, deploying, monitoring, and evaluating a set of growth strategies across a variety of channels

  • 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 Analytics | Ramp’s Risk Analytics team is responsible for how risk is evaluated and building the infrastructure to scale to millions of businesses in the United States. Areas include application processing, underwriting & KYC, risk data signals, risk limit & exposure management, bank linking, capital markets, fraud, pricing, and payments
  • Growth Analytics | Ramp's Growth Analytics team ships data products and insights that allow Ramp to acquire new business and expand existing business at scale. Current areas of focus include: Self-Service Product, Web & Martech, Outbound Automation, Customer Data Platform, and GTM Systems.

Ramp Benefits (for U.S. based employees)

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

Please mention No Whiteboard if you apply!
I'm a one-man team looking to improve tech interviews, and could use any support! 😄


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