Senior Analytics Engineer

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/D (product, engineering, data and design) teams to develop product roadmaps and measure success.
• Work 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.

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.

Compensation

The annual salary/OTE range for the target level for this role is $136,000-$160,000 + target equity + benefits (including medical, dental, vision, and 401(k)).

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 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.

Other Notices

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