Analytics Engineer, Sentry

Salary

$146,000 - $194,000

Location

Irvine, CA

Posted

Yesterday

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 You'll 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 tools—defining 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

1–3 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
You're technical—you are data-driven, understand systems, and can write SQL and Python (or similar analytical languages) to manipulate and analyze data.
You're a builder—you take ownership end-to-end, from defining the problem to designing the solution to building and deploying it
You're clear—you 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

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