Senior Analytics Engineer

5 days ago


San Francisco, California, United States RAMP Full time
About Ramp

Ramp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives.

More than 25,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp.

Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, 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.

Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 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.

Key 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

Requirements

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

Nice-to-Haves

Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / 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: Responsible for delivering data products and insights that shape Ramp's product direction and unlock business value.

Risk & Capital Markets Analytics: Responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States.

Growth Analytics: Ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale.

Benefits

100% medical, dental & vision insurance coverage for you
Partially covered for your dependents

One Medical annual membership

401k (including employer match on contributions made while employed by Ramp)

Flexible PTO

Fertility HRA (up to $5,000 per year)

WFH stipend to support your home office needs

Wellness stipend

Parental Leave

Relocation support for NY

Pet insurance
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