Analytics Engineer — Product Analytics, Growth & Equity

Doist; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Profound, an AI-powered marketing analytics platform, is seeking an experienced Product Analytics Lead in New York City. You’ll build dashboards, define core metrics, and analyze user journeys to drive activation, retention, and growth.

You’ll partner with product, engineering, and GTM teams to instrument events, ensure data quality, and deliver actionable insights. Required: 3+ years in analytics or product roles focused on user behavior, fluency in SQL and Python, and experience with B2B SaaS.

Qualifications

• 3+ years of analytics, data, or product roles focused on user behavior and product usage.
• Fluency in SQL and experience with Python.
• Experience working on product analytics including funnels, retention, user journeys, and activation.
• Strong data modeling skills and a clean approach to defining metrics.
• Experience at a B2B SaaS or product-focused company.

Responsibilities

• Build and maintain dashboards to track product usage, funnels, retention, activation, user journey paths, and feature adoption
• Define and maintain core product metrics and ensure they are modeled cleanly and reliably
• Analyze user journeys to identify friction, improve activation, and drive growth
• Respond to one-off customer analysis requests by delivering custom solutions and insights
• Conduct customer-level and segment analyses to support sales, marketing, and customer success
• Partner with engineers to instrument events, maintain data ingestion pipelines, and uphold high data quality

Skills

SQL

Python

Product analytics

Data modeling

B2B SaaS

Ownership

Job description

Profound, an AI-powered marketing analytics platform, is seeking an experienced Product Analytics Lead in New York City. You’ll build dashboards, define core metrics, and analyze user journeys to drive activation, retention, and growth.

You’ll partner with product, engineering, and GTM teams to instrument events, ensure data quality, and deliver actionable insights. Required: 3+ years in analytics or product roles focused on user behavior, fluency in SQL and Python, and experience with B2B SaaS.