# Marketing Analyst

**Company:** [Clay](https://hotfix.jobs/companies/clay)
**Location:** New York, NY
**Role:** Data Analytics
**Salary:** $145k – $200k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Streamlit, Hex, Sigma, dbt, Analytics Engineering, Gtm Engineering, Marketing Analytics, Funnel Analytics, Anomaly Detection, Dashboarding
**Posted:** 2026-07-29

> Own marketing funnel reporting, monitoring, and insights that guide campaign, channel, and pipeline decisions. The role requires 5+ years of analytics experience, strong SQL, marketing-funnel expertise, BI dashboarding, and cross-functional collaboration with marketing, sales, finance, and data teams.

## Job Description

## Responsibilities
- Own the health of the top-of-funnel assembly line by monitoring lead flow end-to-end, identifying leakage, stalling, or misrouting, and driving fixes with GTM Engineering and marketing.
- Diagnose gaps between intended and actual funnel behavior, including campaign follow-up, routing rules, and conversion stages, and quantify the impact of fixes.
- Build operational reporting and monitoring, including alerts, anomaly detection, and funnel diagnostics, to drive recurring action and surface insights for leadership.
- Ensure data models, metric definitions, and funnel-stage logic accurately reflect business operations, partnering with Analytics Engineering to close gaps.
- Connect GTM Engineering and Analytics Engineering by translating operational findings into pipeline and model improvements.
- Feed funnel data and channel diagnostics into attribution and goaling work led by Strategic Finance and GTM leadership.
- Provide actionable campaign and channel performance insights to influence in-flight decisions.

## Requirements
- 5+ years of analytics experience, including 3+ years in marketing analytics at a high-growth SaaS company.
- Ability to translate data into actions that drive business impact.
- Highly proficient in SQL; Python experience is preferred.
- Deep understanding of the marketing funnel from acquisition through retention.
- Experience working cross-functionally with marketing, sales, operations, and analytics engineering teams.
- Curiosity, persistence, and adaptability when solving complex problems.
- Proficiency with BI tools such as Streamlit, Hex, or Sigma, with the ability to build and own compelling dashboards.
- AI-forward approach, including using application development, CLI tools, and agents to improve personal productivity.

## Nice to Have
- Experience building in Clay.

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