Job Details

About The Role

The Marketing Analyst is a key player in GC.AI's growth engine. You'll translate marketing data into actionable insights that directly impact pipeline, revenue, and go-to-market strategy. The role requires both analytical rigor and storytelling — bringing clarity to what's working, what's not, and what to do next.

You'll work cross-functionally with demand gen, product marketing, sales, and engineering, and you'll have a direct hand in shaping how the company measures growth, optimizes the funnel, and positions itself in the fast-emerging legal AI category.

What You'll Do

• Build dashboards and reports to track campaign performance across channels (paid media, ABM, email automation, events, web).
• Develop attribution models (single- and multi-touch) to measure marketing's influence on pipeline and revenue.
• Analyze funnel health (lead → MQL → SQL → closed-won) and identify optimization opportunities.
• Partner with demand gen to surface the most efficient campaigns, channels, and conversion paths.
• Use AI/ML-powered analytics to identify predictive insights such as churn risk or next-best-action triggers.
• Track feature adoption, product usage, and retention drivers to inform product marketing.
• Analyze customer behavior, industry trends, and competitor activity to sharpen GTM strategies.
• Refine ICPs, IAPs, and personas using firmographic, behavioral, and engagement data.
• Recommend new tools and methods to strengthen reporting, enrichment, and segmentation.
• Promote a test-and-learn culture through structured experimentation.

Required Experience

• 2–4+ years of marketing analytics experience, preferably in SaaS. Familiarity with B2B AI or legal tech markets a plus.
• Strong understanding of marketing funnel metrics, attribution models, and campaign ROI.
• Hands‑on expertise with HubSpot, GA4, Looker/Tableau/Power BI.
• Working knowledge of relational table structures (joins, aggregations, lookups) to ensure accurate reporting across objects.
• Comfort with AI‑enabled analytics or predictive modeling preferred.
• Excellent data storytelling skills — ability to distill complex findings into actionable insights for stakeholders.

Nice To Have

• Experience working with an early‑stage series A start‑up company.
• Understanding legal tech and AI.