Senior Analytics Engineer
Product
Posted on 3/26/2024
Ramp

501-1,000 employees

Comprehensive finance platform for corporate card management, bill
Company Overview
Ramp is a comprehensive financial platform that streamlines corporate expenses, bill payments, and accounting automation, saving businesses time and money, with users reporting an average 3.5% more savings and 8x faster book closing. As the fastest-growing corporate card and bill payment platform in America, it serves a diverse range of clients from startups to global enterprises, and was named Fast Company’s 2023 Most Innovative Company in North America. The company's commitment to modernizing finance operations is evident in its user-friendly interface and responsive customer service, which have been praised for eliminating manual work and reducing human errors.
Financial Services
Data & Analytics

Company Stage

Series D

Total Funding

$1.7B

Founded

2019

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

56%

1 year growth

68%

2 year growth

177%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
BigQuery
SQL
Tableau
Looker
Data Analysis
Snowflake
CategoriesNew
Data Engineering
Data Science
Data Analysis
Data & Analytics
Requirements
  • Minimum 5 years of relevant work experience preferred
  • Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
  • Familiarity with BI tools (preferably Looker, Mode, Tableau 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
Responsibilities
  • 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/D (product, engineering, data and design) teams to develop product roadmaps and measure 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