Analytics Engineer, Sentry
Irvine, CA - USA
Job Summary
ABOUT THE TEAM
We are building the future of situational awareness. Our Sentry platform integrates robotics autonomy hardware and software to deliver mission-critical capabilities in defense and security with an expanding footprint into commercial markets. With a rapidly growing fleet and new product variants in development we partner across engineering manufacturing supply chain operations business development and more to deliver cutting-edge systems at scale.
ABOUT THE JOB
As the Analytics Engineer for Sentry you will be at the forefront of transforming raw data into strategic advantages for our business line. This is a hands-on builder-operator role for a highly technical and strategic individual who thrives on untangling complex ambiguous problems. You will design implement and maintain robust data systems enabling our teams to make more informed decisions. This role requires a deep understanding of data engineering principles a strong analytical mindset and the ability to effectively bridge the gap between technical capabilities and business needs. You will be instrumental in developing data products and tooling that directly impact our operational efficiency product development and overall business strategy.
WHAT YOULL DO
- Build and maintain data pipelines and analytical systems: Design data workflows that ingest transform and model data from diverse sources (deployment systems inventory databases monitoring tools business systems) ensuring data quality and accessibility
- Develop dashboards and analytics that shape decision-making: Create data products ranging from ad hoc analyses for rapid iteration to scalable dashboards and trackers that provide visibility into deployment tracking inventory status component lifecycle fleet performance and system reliability
- Own the full product lifecycle: Act as PM designer and builder for analytics toolsdefining requirements designing user experiences building technical solutions and iterating based on user feedback
- Collaborate to bridge technical and operational needs: Partner closely with cross-functional teams to understand their data challenges and translate them into effective data solutions working within systems like ERP MRP and other operational platforms
- Drive operational efficiency through data analysis: Perform quantitative analyses including deployment data validation inventory reconciliation trend analysis variance investigation and root-cause analysis to identify bottlenecks and optimize processes
- Enhance Sentry fleet management and sustainment: Utilize data to understand fleet performance in the field optimize deployment strategies and improve the efficiency of sustainment operations for the growing Sentry fleet
- Iterate based on feedback and evolving requirements: Continuously improve data products by incorporating stakeholder feedback and adapting to changing operational needs as Sentry scales
- Document and champion data quality: Ensure data definitions business logic and methodologies are well-documented and understood across teams promoting data literacy and self-service capabilities
REQUIRED QUALIFICATIONS
- 13 years of professional experience in an analytics-focused role (Analytics Engineer Data Engineer Data Analyst or similar)
- Degree in a quantitative or analytical field (Statistics Engineering Data Science Math Operations Research Computer Science) or equivalent practical experience
- Youre technicalyou are data-driven understand systems and can write SQL and Python (or similar analytical languages) to manipulate and analyze data.
- Youre a builderyou take ownership end-to-end from defining the problem to designing the solution to building and deploying it
- Youre clearyou communicate effectively in both technical and non-technical contexts translating business problems into data solutions
- You have a strong bias for action and a preference for designing better solutions rather than patching around existing problems
- You thrive on untangling complex messy problems and are energized by creating order from chaos in a rapidly evolving operational environment
- Ability to work cross-functionally with engineering product supply chain and operations teams to drive outcomes
- Must be authorized to work in the United States
PREFERRED QUALIFICATIONS
- Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry Tableau Looker Power BI Streamlit or similar
- You can build full-stack solutions including frontend development with React or similar frameworks when needed
- Familiarity with data pipeline concepts ETL processes or data engineering principles
- Experience working within business systems (ERP MRP MES inventory management platforms) or supply chain analytics
- Background in hardware product lifecycle operations manufacturing environments or complex hardware/software systems
- Experience with monitoring and alerting tools (DataDog Grafana or similar)
- Knowledge of reliability engineering metrics (MTBF failure analysis deployment tracking) or fleet management concepts
- Background working in fast-paced environments without a playbook particularly in hyper-growth or startup settings
- Experience in defense aerospace robotics autonomy or mission-critical technology environments
US Salary Range
$146000 - $194000 USD
The salary range for this role is an estimate based on a wide range of compensation factors inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience education and/or training critical skills and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Andurils total compensation package. Additionally Anduril offers top-tier benefits for full-time employees including:
Benefits
At Anduril we invest in our people. Our comprehensive competitive benefits package (available at little to no cost to employees) ensures youre supported in health recovery and whatever comes next.For more information Explore Our Benefits.
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Required Experience:
IC