Product Analytics Engineer

AI overview

Own and refine product analytics, turning data into actionable insights to drive improvements and feature success in a fast-paced, high-impact engineering culture.
Product at TRACTIAN At TRACTIAN, we don’t just build products — we engineer experiences that redefine how industries operate. Our mission is to revolutionize manufacturing through precision, efficiency, and innovation. By staying ahead of emerging technologies and market trends, we create solutions that meet the real-world demands of modern industry. From hardware to software, our obsession with optimization and performance excellence sets us apart. What you'll do As a Product Analytics Engineer at Tractian, you’ll own how product data shapes decisions across our platform. You’ll design and manage event tracking, analyze how customers use our product, and uncover insights that drive product improvements and new feature success. Working closely with Product and Engineering, you’ll turn raw data into clear, actionable stories — helping us understand what’s working, what’s not, and where we go next. This role is hands-on, technical, and highly visible — perfect for someone who loves building clarity from complexity in a fast-growing, high-impact environment. Responsibilities:
  • Lead and own Tractian’s product analytics strategy, driving how data informs product decisions.
  • Instrument event tracking across the product using Pendo, PostHog, Segment, and FullStory.
  • Analyze user behavior to uncover insights on engagement, navigation, and adoption.
  • Measure and report on feature performance, launches, and post-release impact.
  • Manage data pipelines between analytics tools, databases, and dashboards.
  • Create automated reports and dashboards that track product health and usage.
  • Support A/B tests and beta programs with reliable data and analysis.
  • Collaborate with Product, Engineering, and Leadership to drive data-informed decisions.
  • Ensure data accuracy, reliability, and consistency across all analytics systems.
  • Requirements:
  • 3+ years of experience in Product Analytics, Data Analytics, or a similar data-focused product role.
  • Strong proficiency in SQL — comfortable querying, joining, and transforming large data sets.
  • Hands-on experience with product analytics tools such as Pendo, PostHog, FullStory, or Segment.
  • Proven ability to design and maintain event tracking and instrumentation frameworks.
  • Experience analyzing user behavior and product performance in a B2B or complex software environment.
  • Comfortable managing data pipelines between analytics, warehouse, and visualization tools.
  • Strong understanding of product metrics (activation, adoption, retention, engagement, churn).
  • Ability to translate data into clear insights that guide product and business decisions.
  • Self-starter who thrives in a fast-paced, high-growth environment with minimal structure.
  • Excellent communication and collaboration skills across Product, Engineering, and Leadership teams.
  • Compensation

    Competitive Salary
    Premium Medical, Dental, and Vision Coverage
    Paid Time Off (PTO): 15 Days
    401(k) Retirement Plan
    Language Learning Opportunities - Take advantage of optional, fully funded Portuguese or Spanish courses to enhance your skills and global reach.
    Gympass Membership - Access a wide range of gyms and training programs.
    Sports Incentive - Receive a monthly bonus when you regularly participate in physical activities.
    Long-Term Benefit - After four years of service, earn a fully funded trip anywhere in the world.

    Perks & Benefits Extracted with AI

    • Health Insurance: Premium Medical, Dental, and Vision Coverage
    • Fully funded trip after four years: Long-Term Benefit - After four years of service, earn a fully funded trip anywhere in the world.
    • Paid Time Off: Paid Time Off (PTO): 15 Days
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