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Ramp
Senior Analytics Engineer
at Ramp
21 days ago | 91 views | Be the first one to apply

Senior Analytics Engineer

Full-time
Remote
Per year
$136,000 To $150,000

About the company

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. More than 30,000 businesses, from family-owned farms to e-commerce giants to space startups, have saved $2B and 20M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over $55 billion in purchases each year. Ramp’s investors include Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, and Redpoint, 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.

Job Summary

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/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

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 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

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.

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