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Profound

Analytics Engineer

New York, New York$140k–$260kfulltimemidAdded today

About this role

Join Profound as an Analytics Engineer to build the product analytics foundation for an AI-powered marketing platform. You'll define success metrics, design dashboards, and deliver insights that drive product decisions across a rapidly scaling company backed by top-tier VCs.

What you'll do

  • Build and maintain dashboards tracking product usage, funnels, retention, activation, and feature adoption
  • Define and model core product metrics with clean, reliable data architecture
  • Analyze user journeys to identify friction points and opportunities for growth
  • Deliver custom analyses and insights responding to ad-hoc business requests
  • Conduct customer-level and segment analyses supporting sales, marketing, and customer success teams
  • Partner with engineers on event instrumentation, data pipelines, and data quality standards

What they're looking for

  • SQL
  • Python
  • Product analytics (funnels, retention, user journeys, activation)
  • Data modeling and metric definition
  • B2B SaaS analytics experience
  • Dashboard and visualization tools
  • Product sense and business acumen
  • Data quality and reliability ownership

Benefits

  • Competitive base salary with equity compensation
  • Full range of benefits and perks
  • Visa sponsorship available for qualified international candidates
  • On-site collaboration in Union Square, NYC office
  • Ownership of analytics function at a high-growth early-stage company
  • Fast-paced environment with trust and autonomy
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Profound

Profound builds an AI-native marketing platform used by Fortune 500 companies that automates lead qualification, scoring, and routing while capturing prospect intent signals. The company is hiring Infrastructure Engineers, Data Engineers, Design Engineers, GTM Engineers, and Talent Engineers to scale its cloud systems, data pipelines, user experiences, and internal recruiting automation.

View all jobs at Profound

Likely interview questions

  • Walk us through a product analytics project where you identified a key insight that led to a product or go-to-market decision.
  • How do you approach defining and maintaining core metrics to ensure consistency and reliability across an organization?
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