<h2>Summary</h2><p>Ramp is building smart infrastructure for finance teams, automating how businesses manage their spending. They are seeking a Data Scientist to develop data products and insights, collaborating with various teams to enhance reporting and drive process improvements.</p>
<h2>Responsibilities</h2><ul><li>Full stack development, building models to consume, transform, and expose data to stakeholders and production systems</li><li>Drive a culture of experimental design, testing agenda, and best practices</li><li>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</li><li>Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success</li><li>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</li></ul>
<h2>Skills</h2><ul><li>Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries</li><li>Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards</li><li>Track record of shipping high quality products and features at scale</li><li>Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions</li><li>Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)</li><li>Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)</li><li>Experience within the payments and financial technology space</li><li>Familiarity with B2B enterprise sales cycle metrics and processes</li></ul>
<h2>Qualifications</h2><h3>Must Haves</h3><ul><li>Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries</li><li>Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards</li><li>Track record of shipping high quality products and features at scale</li><li>Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions</li></ul><h3>Nice to Haves</h3><ul><li>Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)</li><li>Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)</li><li>Experience within the payments and financial technology space</li><li>Familiarity with B2B enterprise sales cycle metrics and processes</li></ul>
<h2>Benefits</h2><ul><li>100% medical, dental &amp; vision insurance coverage for you</li><li>Partially covered for your dependents</li><li>One Medical annual membership</li><li>401k (including employer match on contributions made while employed by Ramp)</li><li>Flexible PTO</li><li>Fertility HRA (up to $10,000 per year)</li><li>Parental Leave</li><li>Unlimited AI token usage</li><li>Pet insurance</li><li>Centralized home-office equipment ordering for all employees</li><li>Health and Wellness stipend</li><li>In-office perks: lunch, snacks, drinks, and more</li><li>Budget for intra-office travel</li><li>Relocation support to NYC or SF (as needed)</li></ul>