Senior Product Analyst

Posted 4 Days Ago
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Sydney, New South Wales, AUS
In-Office
Senior level
Robotics • Appliances
The Role
Lead product analytics for robotics and navigation products: own telemetry pipelines, produce dashboards and OKRs, model ROI, inform product discovery, synthesize field data into prioritized feature requests, and collaborate cross-functionally to shape the roadmap.
Summary Generated by Built In

Advanced Navigation is the world’s most determined innovator in AI robotics and navigation technologies across land, air, sea and space applications. Founded on a culture of research and discovery, Advanced Navigation's mission is to be the catalyst of the autonomy revolution. Fields of expertise include artificial intelligence, underwater sonar, GNSS, radio frequency systems, inertial sensors, robotics, quantum sensors and photonics. 

Today, Advanced Navigation is a supplier to some of the world's largest companies, including Airbus, Boeing, Google, Tesla, NASA, Apple, and General Motors. Discover it for yourself: https://youtu.be/F7uAqs1gtuk


OVERVIEW OF ROLE 

As a Senior Product Analyst, you will bridge the gap between complex hardware/software engineering capabilities and market demands. You will be responsible for translating field-testing, usage data, and market dynamics into actionable insights that shape the product roadmap for our flagship navigation and robotics verticals. This is a high-impact role requiring deep data literacy, product discovery frameworks, and the ability to thrive in a deep-tech engineering environment.


ROLES & RESPONSIBILITIES 


1. Product Data Analytics & Insights

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).


2. Product Discovery & Strategy Support

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.


3. Cross-Functional Collaboration

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.


4. Ownership & Continuous Improvement

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.


QUALIFICATIONS, EXPERIENCE & SKILLS 

  • 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.


Skills Required

  • Bachelor's degree in Data Science, Engineering, Mathematics, Physics, Computer Science, or similar quantitative/technical field
  • 5+ years in an analytical role (Product Analyst, Data Analyst, Systems Analyst) preferably in deep tech, robotics, SaaS-hardware hybrid, or high-reliability manufacturing
  • Highly proficient in SQL
  • Highly proficient in Python or R
  • Experience with BI tools such as Tableau or Power BI to build interactive dashboards
  • Familiarity with product analytics tools (e.g., Mixpanel, Amplitude) or custom cloud-based telemetry platforms
  • Comfort working with technical product concepts (IMUs, GNSS, robotics, sensor fusion, acoustics)
  • Experience owning data pipelines for product performance, telemetry, and customer usage behavior
  • Strong grasp of Agile methodologies and modern product management frameworks
  • Exceptional interpersonal and communication skills; able to explain complex models to non-technical stakeholders
  • Curious mindset, rapid learner for complex technical frameworks
  • Exceptional attention to detail with a bias for action and decisive problem-solving
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The Company
HQ: Sydney
119 Employees
Year Founded: 2010

What We Do

Advanced Navigation is a privately owned Australian company that specialises in the development of navigation technologies and robotics. The company has a focus on generating products of the highest quality standard, both in terms of hardware and software. The company's founders came from a background in mission critical robotics built to military specifications and this can be seen through Advanced Navigation's products. Advanced Navigation's engineers have specialised expertise across a broad range of fields including sensors, GNSS, inertial navigation, RF technologies, acoustics, robotics, AI and algorithms.

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