Analytics Engineer
Job Description
Profound is an innovative NYC-based AI startup that's revolutionizing how brands measure and improve their visibility in AI platforms like ChatGPT. Recently securing a $20 million Series A led by Kleiner Perkins with notable investors including NVIDIA and Khosla Ventures, Profound partners with industry leaders such as MongoDB, DocuSign, and Zapier.
As an Analytics Engineer at Profound, you'll have the opportunity to build and own the entire product analytics foundation. This role combines technical expertise in SQL and Python with strong product sense to drive data-informed decisions. You'll be responsible for defining success metrics, mapping user journeys, and uncovering insights that directly impact product development and improvement.
The position offers a unique opportunity to work in their Union Square office, where you'll collaborate closely with product, engineering, and go-to-market teams. You'll be instrumental in building and maintaining dashboards, defining core product metrics, and conducting deep-dive analyses to support various business functions.
The ideal candidate brings 3+ years of experience in analytics or data roles, with a strong background in B2B SaaS environments. You'll need to demonstrate expertise in SQL and Python, along with a proven track record in product analytics including funnels, retention, and user journey analysis.
What makes this role particularly attractive is the level of ownership and impact you'll have in an early-stage company, coupled with competitive compensation and meaningful equity. You'll be joining a fast-paced environment that values autonomy and offers the chance to shape how a rapidly growing AI startup measures and improves its product.
Responsibilities For Analytics Engineer
- 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
Requirements For Analytics Engineer
- 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
Benefits For Analytics Engineer
- 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
