Requirements
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries,
• Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex 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,
• (Desirable) Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents),
• (Desirable) Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development),
• (Desirable) Experience within the payments and financial technology space,
• (Desirable) Familiarity with B2B enterprise sales cycle metrics and processes
What the job involves
• 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,
• Full stack 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