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Clay is a $5B-valued, Series C-backed SaaS platform that helps organizations turn growth ideas into reality through data enrichment and workflow automation. The company has crossed $100M in revenue and serves thousands of customers including Anthropic, Notion, Google, and Ramp.
As Marketing Analyst, you'll be the connective tissue between data models, insights, and strategy. You'll own reporting, metrics, and insights that drive clarity on marketing performance and work in a pod with marketing/sales leadership, analytics engineering, GTM Engineering, and strategic finance.
Key responsibilities include:
- Own the health of the top-of-funnel assembly line: monitor lead flow end-to-end, identify leaks and stalls, and drive tactical fixes with GTM Engineering and marketing teams.
- Diagnose gaps between intended and actual funnel behavior—campaigns not triggering expected follow-up, routing rules dropping leads, conversion stages behaving off-plan—and quantify the impact of fixes.
- Build operational reporting and monitoring (alerts, anomaly detection, funnel diagnostics) that drives day-to-day and week-to-week action, surfacing performance insights for leadership.
- Ensure data models, metric definitions, and funnel stage logic accurately reflect how the business operates, partnering with Analytics Engineering to close gaps.
- Serve as the connective layer between systems builders (GTM Engineering) and data model owners (Analytics Engineering), translating operational findings into pipeline and model improvements.
- Feed ground-truth funnel data and channel diagnostics into attribution and goaling work led by Strategic Finance and GTM leadership.
- Provide actionable insights into campaign and channel performance to influence in-flight decisions, not just quarterly reviews.
You'll bring 5+ years of analytics experience with 3+ years in marketing analytics at a high-growth SaaS company. You're highly proficient in SQL (Python a plus), understand the marketing funnel deeply, and have a track record of working cross-functionally with marketing, sales, ops, and analytics engineering teams. You're proficient in BI tooling (Streamlit, Hex, Sigma preferred), can build and own dashboards with compelling visualization, and are AI-forward—comfortable with code applications, CLI, and agents. Experience building in Clay is strongly preferred.
About Clay
SaaS / Enterprise Software; Sales — go-to-market data enrichment and workflow automation platform.
