Marketing Analyst

About This Role

This marketing analyst role acts as a bridge between data models, insights, and strategy, focusing on the performance of marketing efforts. The position involves owning reporting, metrics, and insights, working with various teams to identify and fix issues in lead flow, and ensuring data accuracy.

Responsibilities

• Own the health of the top-of-funnel "assembly line": monitor lead flow end-to-end, identify where leads are leaking, stalling, or being misrouted, and drive tactical fixes with GTM Engineering and marketing
• 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 each fix
• 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 that data models, metric definitions, and funnel stage logic accurately reflect how the business actually 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 the 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 strategy reviews

Requirements

• 5+ years of analytics experience, with 3+ years in marketing analytics at a high growth SAAS company
• Proven ability to translate data into actions that drive business impact
• Highly proficient in SQL (ideally python too); experience working with large, complex data sets
• Deep understanding of the marketing funnel, from acquisition to retention
• Track record of working cross-functionally with marketing, sales, ops, and analytics engineering teams
• Curiosity and persistence in solving complex problems; adaptability when findings evolve
• Proficiency in BI tooling (Streamlit, Hex, Sigma preferred) with ability to build and own dashboards with compelling visualization
• You are AI forward: you can vibe code applications to supplement core tooling, you achieve personal ROI from CLI and agents

Nice to have:

• Experience building in Clay

Benefits

• Community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack
• Team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more
• All employees can work for free with world-class coaches who specialize in creativity, management, and more

About the Company

Clay helps organizations turn growth ideas into reality by providing unique data, signals, and AI research. The company raised a $100M Series C in 2025 and crossed $100M in revenue. In 2026, it announced a second employee tender offer at a new $5B valuation and launched a community equity round.