Revenue Operations Analyst
About The Position
We’re looking for a highly analytical GTM / Revenue Operations Analyst to help power data-driven decision making across Sales, Marketing, and Revenue leadership. In this role, you’ll own core reporting, uncover insights across the full buyer journey, and help build the analytical foundation that enables Fingerprint to scale efficiently. You’ll partner closely with go-to-market leaders to turn complex datasets into clear narratives, actionable insights, and reliable forecasts. This role is ideal for someone who enjoys working at the intersection of data, strategy, and execution in a fast-growing SaaS environment.
Requirements
- 3-5 years of experience in an analytical role within a SaaS or high-growth tech company, or a transferable background in Consulting, Strategic Finance, Investment Banking, or Corporate Strategy.
- Familiarity with CRM systems and core GTM / revenue operations workflows.
- Proficiency in SQL and a solid understanding of data modeling concepts.
- Strong analytical instincts and comfort working with large, complex datasets.
- Experience building dashboards and visualizations in tools like Sigma, Looker, Tableau, or Excel.
- Clear, concise communicator who can translate complex analysis into compelling insights for technical and non-technical audiences.
- Detail-oriented problem solver with high standards for accuracy and data quality.
- Thrives in a fast-paced, evolving environment with a strong sense of ownership and accountability.
Responsibilities
- Analyze sales, marketing, and operational data to uncover trends, performance gaps, and opportunities for growth across the funnel.
- Develop and populate monthly reporting for GTM teams on key operating metrics
- Build and maintain trusted "source of truth" dashboards and KPI reporting using Sigma Computing, ensuring stakeholders have reliable, self-serve insights.
- Own CAC and ROAS analysis across all acquisition channels (e.g., Google, Facebook, partnerships, referrals) to inform spend efficiency and growth strategy.
- Diagnose funnel performance and identify drop-off points across the buyer journey—from lead qualification and SDR handoffs to demos, pipeline progression, and deal close.
- Partner with Finance and Revenue leaders to support forecasting, budgeting, and planning through robust data models and historical trend analysis.
- Ensure data accuracy, consistency, and governance across CRM, marketing, and analytics systems.
- Design and maintain win/loss analysis frameworks that systematize feedback and inform improvements across Sales, Marketing, and Product.
- Build and iterate on revenue forecasts incorporating lead volume, conversion rates, sales cycle length, and historical performance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
