Senior Product Analyst

Full Time
  • October 20, 2026
  • Employment Info

    JOB  DETAILS

    Requirements
    • Bachelor’s degree in a highly quantitative or technical field (e.g., Data Science, Engineering, Mathematics, Physics, or Computer Science)
    • 5+ years of experience in an analytical role (Product Analyst, Data Analyst, Systems Analyst), preferably within a deep tech, robotics, SaaS-hardware hybrid, or high-reliability manufacturing organization
    • Highly proficient in SQL and Python (or R) for advanced data analysis. Experienced with BI tools (e.g., Tableau, PowerBI) to build high-density, interactive dashboards
    • Comfort working around highly technical product concepts, such as Inertial Measurement Units (IMUs), GNSS, robotics, sensor fusion, or acoustics
    • Familiarity with product analytics tools (e.g., Mixpanel, Amplitude) or custom cloud-based telemetry platforms
    • Strong grasp of Agile methodologies and modern product management frameworks
    • Exceptional interpersonal and communication skills; able to explain complex statistical models to non-technical stakeholders and vice versa
    • A curious mindset with an intrinsic drive to learn complex technical frameworks quickly
    • Exceptional attention to detail combined with a bias for action and decisive problem-solving
    Responsibilities
    • Own the end-to-end data pipelines for product performance, telemetry, and customer usage behavior
    • Define, track, and report on core Product Team OKRs and feature adoption metrics
    • Conduct complex data modeling to evaluate how software-enhanced hardware optimizations impact system performance across diverse applications (e.g., aerospace, maritime, mining)
    • Partner with Senior Product Managers to lead product discovery phases using data-backed hypotheses and design thinking frameworks
    • Model ROI and conduct financial/strategic planning for new product updates, evaluating target commercial opportunities globally
    • Perform competitive intelligence and market sizing analysis within the defense, autonomous vehicles, and subsea robotics sectors
    • Act as the analytical “glue” uniting R&D, Engineering, Sales, and Customer Support
    • Synthesize raw technical field-testing data and customer support escalations into prioritized feature requests for engineering teams
    • Collaborate with data engineering and platform teams to design, scale, and optimize internal product telemetry tools
    • Drive accountability by establishing robust data-governance standards for how the product team measures success
    • Champion a “Progress over Perfection” mentality by delivering rapid prototypes of dashboards and insights, iteratively refining them alongside product shifts

     

     

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