C

Clay

Combines many data sources with AI for sales teams

Marketing Analyst

Data AnalysisConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$145k - $200k /yrHybrid

About the Job

Requirements

  • At least 5 years of analytics experience, including at least 3 years in marketing analytics at a high-growth SaaS company.
  • Ability to translate data into actions that drive business impact.
  • High proficiency in SQL; Python proficiency is ideal.
  • Deep understanding of the marketing funnel from acquisition to retention.
  • Experience working cross-functionally with marketing, sales, operations, and analytics engineering teams.
  • Proficiency in business intelligence tools such as Streamlit, Hex, or Sigma, with the ability to build and own dashboards with compelling visualizations.
  • Ability to build applications using AI-assisted coding and achieve personal return on investment from command-line interfaces and agents.

Responsibilities

  • Own the health of the top-of-funnel assembly line by monitoring lead flow end-to-end, identifying where leads are leaking, stalling, or being misrouted, and driving tactical fixes with GTM Engineering and marketing.
  • Diagnose gaps between intended and actual funnel behavior, such as campaigns not triggering expected follow-up, routing rules dropping leads, or conversion stages behaving off-plan, and quantify the impact of each fix.
  • Build operational reporting and monitoring, including alerts, anomaly detection, and funnel diagnostics, to drive day-to-day and week-to-week action and surface performance insights for leadership.
  • Ensure data models, metric definitions, and funnel stage logic accurately reflect business operations, partnering with Analytics Engineering to close gaps.
  • Connect systems builders in GTM Engineering with data model owners in 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.

Desired Qualifications

  • Experience building in Clay.

About the Company

Clay

Combines many data sources with AI for sales teams

Clay builds software that sales and marketing teams use to find and contact likely customers, with data from many outside providers and AI agents in one workspace. It coined the job title GTM engineer in 2023 for people who build automated systems to find and win customers, and the role has since spread across tech companies. Users fill spreadsheet-like tables of companies and people with contact details and company facts from data vendors, while its AI agent Claygent researches each account on the web. The results feed email campaigns, ads, and customer databases, and companies pay for plans that include credits for data and for automated actions. Clay was founded in 2017 and is based in New York City.

Company size
201-500
Company stage
Series D
Total funding
$317M
Headquarters
New York City, New York
Founded
2017

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