Revenue Operations Analyst, Pilot

• If you’re excited about building reporting infrastructure, uncovering patterns in complex datasets, and turning insights into action, this is a high-visibility role with meaningful business impact
• 2-3+ years of experience in RevOps, SalesOps, Marketing Analytics, Data Analytics, or Business Intelligence roles
• Experience working with Salesforce, Marketo, Clay, and BI tools such as Looker (or similar)
• Strong proficiency in Excel / Google Sheets
• Experience partnering cross-functionally with Marketing, Sales, Data, Finance, and Customer Success
• Strong analytical rigor with the ability to translate data into clear, actionable business insights
• Highly analytical and structured in your thinking
• Comfortable working with ambiguous or messy datasets
• Curious and proactive in investigating metric shifts
• Able to balance depth with speed
• Strong communicator who can translate insights for non-technical stakeholders
• Interested in how revenue systems work end-to-end

Desirable

• We’re hiring a Revenue Operations Analyst to help scale and optimize Pilot’s revenue engine
• This role sits at the center of Marketing, Sales, Partnerships, and Customer Success — transforming go-to-market data into insights that drive growth decisions
• You won’t just report on performance — you’ll help shape how budget is allocated, refine ideal customer profiles, improve conversion rates, and increase efficiency across the funnel
• You’ll own core revenue analytics and partner closely with cross-functional leaders to diagnose bottlenecks, uncover opportunities, and influence strategy
• From pipeline health and CAC efficiency to churn drivers and expansion trends, your work will directly impact how the business grows
• Maintain and optimize core revenue funnel reporting across channels and segments
• Build and maintain dashboards in Salesforce and BI tools (e.g., Looker or similar)
• Develop GTM efficiency reporting (CAC, payback, win rates, sales cycle)
• Conduct recurring analyses on pipeline health, funnel performance, and win/loss trends
• Analyze segment-level profitability and performance
• Evaluate pricing and discount impact on win rate and lifetime value
• Support ICP refinement with data-backed insights
• Build and measure campaign performance across channels by first-touch, last-touch, and multi-touch attribution
• Measure campaign ROI and blended CAC by channel
• Deliver ongoing ad hoc strategic analyses
• Support expansion pipeline reporting and upsell insights
• Conduct churn analysis by segment, timing, and drivers
• Identify churn signals and contribute to risk scoring models
• Run cohort-based retention analysis
• Analyze operating expense performance vs. budget
• Support LTV/CAC modeling and forecasting
• Assist with commission and incentive analysis as needed