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Senior Analytics Engineer | Compliance & Regulatory

Senior Analytics Engineer | Compliance & Regulatory

RampNew York, NY, US
6 hours ago
Job type
  • Full-time
Job description

Overview

Senior Analytics Engineer | Compliance & Regulatory at Ramp. Join to apply for the Senior Analytics Engineer | Compliance & Regulatory role at Ramp.

This range is provided by Ramp. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$137,100.00 / yr - $188,600.00 / yr

About Ramp

At Ramp, we're rethinking how modern finance teams function in the age of AI. Ramp is a financial operations platform designed to save companies time and money. Our all-in-one solution combines payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping with built-in intelligence to maximize the impact of every dollar and hour spent. We're investing in that future — and in the people bold enough to build it.

Ramp powers the fastest-growing corporate card and bill payment platform in America, enabling over $80 billion in purchases each year. Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for more than 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies.

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 (product, engineering, data and design) teams to develop product roadmaps and measure success
  • Work 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, Hex 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 / Hex / 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
  • Risk & Capital Markets Analytics
  • Growth Analytics
  • 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)
  • Flexible PTO
  • Fertility HRA (up to $5,000 per year)
  • WFH stipend to support your home office needs
  • Wellness stipend
  • Parental Leave
  • Relocation support to NYC or SF (as needed)
  • Pet insurance
  • Referral Instructions

    If you are being referred for the role, please contact that person to apply on your behalf.

    Other Notices

    Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

    Ramp Applicant Privacy Notice

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Information Technology
  • Referrals increase your chances of interviewing at Ramp by 2x

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    Regulatory Compliance • New York, NY, US

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