Ramp is building the world's first finance automation platform designed to save businesses time and money. Ramp offers 5-in-1 software that consolidates corporate cards, expense management, bill payments, accounting, and reporting into one simple and free solution. More than 2,000 businesses are using Ramp for over $1 billion in annualized transaction volume. Customers include some of the fastest growing startups and unicorns like Ro, DoNotPay, Better, ClickUp, and Applied Intuition, as well as established businesses across the US such as Bristol Hospice, Walther Farms, Douglas Elliman, and Planned Parenthood.

Founded in 2019 Ramp is NYC's fastest growing startup, having achieved a unicorn valuation of $3.9 billion in just over 2 years. Ramp has raised $620 million in funding from investors including Founders Fund, Stripe, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies. Ramp is part of the Forbes Fintech 50 and Fast Company's Best Workplaces for Innovators program.

About the Role

Ramp is in a critical phase of growth. We grew 60x in 2020 and are building out a talented Revenue Operations team to ensure we maintain this trajectory for years to come. As the first hire in Marketing Analytics, you’ll be a key leader in developing the program, setting the standard, and, as we grow, building out your own team. You’ll work directly with our Head of Revenue Operations to drive mission-critical, cross-functional projects across the organization. You will collaborate closely with our Marketing, Sales Dev, Sales, Product, Risk, and Operations teams to deliver on ambitious growth goals. This is a key role where you will be uniquely positioned to impact the full picture of Ramp’s growth efforts across all go-to-market. 

What You’ll Do

• Build and improve marketing effectiveness models such as multi-touch campaign attribution, content influence models, and ROI by growth objective
• Build reporting for all TOFU KPIS driving improvements to campaigns, funnel movement, rep performance, and speed
• Forecast MQLs and pipeline with improved accuracy and granularity over time
• Work closely with Growth Marketing and Product to collaboratively drive strategy on data tracking and enrichment solutions 
• Expand and optimize lead scoring throughout the top and middle of funnel
• Sift through large data sets via query languages to answer complex questions, build reporting, identify trends, and explain narratives with data visuals
• Perform ad hoc analyses driving actionable insights on growth initiatives
• Analyze and advise on improvements for marketing automation and sales automation effectiveness
• Operate as GTM compass for campaigns, experiments and tactics

What You’ll Need

• Minimum 2 years of experience in B2B SaaS or Fintech marketing analytics, business intelligence, or data analytics 
• Experience with SQL and data warehouses (Redshift, Snowflake, etc.)
• Mastery of BI tools (Looker, Domo, Tableau, QuickSite, etc.) and Excel / Google Sheet functions
• Excellent written and verbal communication skills. Comfortable presenting data and providing recommendations with confidence to senior level partners, even when there is ambiguity involved
• A knack for identifying and investigating anomalies in data and operations
• Ability to appropriately determine what tools/solutions are most appropriate for analyses and reporting (SFDC report, BI tool one-off query, HubSpot, Outreach, Excel, etc.)
• Scrappiness when scoping, sizing and fulfilling large and small requests balancing efficiency and quality
• Ability to translate stakeholder requests into technical requirements to surface impactful end-state analyses and reports
• Working knowledge of B2B funnel reporting including stages (Inquiry, MQL, pipeline, etc.), marketing automation structure/reporting, and SFDC structure/reporting
• Outstanding problem solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations

Nice to Haves

• Working knowledge of Python or R
• Experience in high-growth startups and/or high-growth technology companies
• Passion for or curiosity to learn about financial technology

Ramp Benefits (for U.S. based employees)

• 100% medical, dental & vision insurance coverage for you
• Partially covered for your dependents
• 401k (including employer match)
• Parental Leave
• Unlimited PTO
• WFH stipend to support your home office needs
• Monthly wellness stipend
• Annual education reimbursement
• Relocation support