Analytics Engineer
Role Overview
This is a senior-level Analytics Engineer role at ProFound, where you will own the product analytics function, building dashboards, defining metrics, and analyzing user journeys to drive product improvements. You will collaborate closely with product, engineering, and go-to-market teams to uncover insights that shape the platform and enhance customer value. The role involves significant responsibility for data quality and reliability, impacting the entire company's understanding of user engagement and growth.
Perks & Benefits
The job is remote, offering a fast-paced environment with trust and autonomy, competitive compensation, and meaningful equity. It provides close collaboration with cross-functional teams and ownership of the analytics function at an early-stage company, though the description mentions an on-site role in Union Square, which may imply occasional in-person expectations or a hybrid setup. Career growth is implied through a key role in shaping product decisions and measurement strategies.
Full Job Description
Profound is on a mission to help companies understand and control their AI presence. As an Analytics Engineer, you’ll build and own the product analytics foundation at Profound. You’ll define success metrics, map the user journey, and uncover insights that shape how we build and improve the product. Your work will help the entire company understand what drives engagement, where users drop off, and how we can make the platform more valuable to our customers.
What You’ll Do
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’re 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
What We Expect from You
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
3 or more years in analytics, data, or product roles focused on user behavior and product usage
Strong product sense and ability to turn data into clear insights for product and go to market teams
A sense of ownership and accountability for data quality and reliability
What You’ll Get Out of It
Ownership of the entire product analytics function at an early stage company
A key role in shaping how we measure usage and make product decisions
Close collaboration with product, engineering, and go to market teams
A fast paced environment with a lot of trust and autonomy
Competitive compensation and meaningful equity
This is an on-site role in our Union Square office — designed for builders who thrive on speed, iteration, and impact.
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