Nous Research
Product Analytics Engineer
Remote work allowed only within certain countries or regions.
North America
Employer listed it 6 weeks ago · Added 4 days ago
Been open since 6 weeks ago, still checked daily, but it has been live a while.
Salary
Not stated
Location
North America
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in North America.
What the employer says
- Source listing states candidate location: "Americas (US time zones), Remote"
What Nomaders makes of it
- Applications outside the listed area are usually rejected
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
The Role
As a Product Analytics Engineer at Nous Research, you'll own the measurement systems that help us understand how users interact with Hermes Agent. You'll build the analytics foundation across our products—from instrumentation and event pipelines to dashboards and experimentation—then use that data to identify opportunities to improve activation, engagement, retention, and long-term product success.
You'll partner closely with Product, Engineering, Design, Support, and Leadership to turn behavioral insights into concrete product improvements. This role is ideal for someone who enjoys building reliable analytics infrastructure while also using data to influence product strategy and execution.
Responsibilities
Own product analytics end-to-end, from event design and instrumentation through data modeling, analysis, and product recommendations.
Define and maintain a consistent event taxonomy and shared metrics layer across Hermes Agent and Nous Portal.
Implement and maintain analytics instrumentation across desktop, mobile, web, CLI, backend services, and third-party integrations.
Build reliable data pipelines, transformations, dashboards, and monitoring systems that make product behavior easy to understand and trust.
Analyze user funnels, cohorts, retention, behavioral paths, and churn to identify friction points and opportunities for improvement.
Segment user behavior across platforms, acquisition channels, pricing plans, models, tools, and use cases to uncover actionable insights.
Design and evaluate experiments, measuring the impact of product changes on activation, engagement, retention, conversion, and revenue.
Partner with Product, Engineering, Design, and Support to translate data into prioritized product improvements.
Combine quantitative analysis with qualitative feedback from users, customer conversations, and direct product usage to develop a complete understanding of user behavior.
Build monitoring and alerting systems for key product metrics and proactively investigate anomalies.
Establish best practices for analytics instrumentation, documentation, data quality, and privacy-conscious telemetry.
Qualifications
5+ years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a similarly technical product role.
Expert SQL skills and strong proficiency in Python, with experience working in production application codebases using TypeScript, JavaScript, or similar languages.
Hands-on experience implementing analytics instrumentation across client applications and backend systems.
Experience with modern product analytics platforms such as PostHog, Amplitude, or Mixpanel, along with data warehouses and BI tools.
Deep understanding of product metrics including activation, engagement, retention, churn, experimentation, and funnel analysis.
Strong analytical and problem-solving skills with the ability to trace issues from dashboards through underlying systems and instrumentation.
Excellent communication skills and the ability to translate complex behavioral data into clear product recommendations.
Entrepreneurial mindset, strong ownership, and the ability to operate effectively in a fast-moving environment.
Requirements
- ·5+ years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a similarly technical product role.
- ·Expert SQL skills and strong proficiency in Python, with experience working in production application codebases using TypeScript, JavaScript, or similar languages.
- ·Hands-on experience implementing analytics instrumentation across client applications and backend systems.
- ·Experience with modern product analytics platforms such as PostHog, Amplitude, or Mixpanel, along with data warehouses and BI tools.
- ·Deep understanding of product metrics including activation, engagement, retention, churn, experimentation, and funnel analysis.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Nous Research, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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