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Salary: USD 104,030 - 155,839 / annual
Echodyne is seeking a Data Analyst II to join its fast-growing team. The company develops compact solid-state beam-steering radar systems for autonomous vehicles, uncrewed aircraft, drones, and critical infrastructure security applications, combining patented metamaterials technology with software to deliver high-performance radar sensors at commercial price points.
In this role, you will ingest, label, and analyze data collected from test activities and field deployments to evaluate radar system performance. You'll identify potential issues, generate actionable insights, and collaborate with cross-functional teams to improve product performance and customer outcomes.
Key responsibilities include:
- Clean, format, transform, and validate data from field tests and customer deployments; ingest datasets into databases for analysis
- Label targets to enhance datasets used for classification model development
- Apply statistical analysis and data science methodologies to evaluate radar system performance across key metrics; identify anomalies and performance degradations
- Generate clear, well-structured written reports and visualizations summarizing findings for internal and external stakeholders
- Present analysis reports to decision makers and interested parties
- Assist in developing and maintaining Python-based data processing and analysis pipelines to improve automation and scalability
- Support root cause investigations by analyzing datasets to diagnose system-level and algorithmic issues
- Assist in maintaining machine learning models for target classification
Required Skills & Experience:
- Strong written and verbal communication skills; ability to understand analysis requirements and clearly communicate conclusions to technical and non-technical audiences
- Demonstrated technical writing and data visualization skills; ability to present complex findings in an interpretable and actionable manner
- Solid background in statistics and experience analyzing structured and unstructured datasets
- Proficiency in Python and SQL, including experience with data processing, analysis, and visualization libraries and tools
- Strong spatial reasoning skills and ability to work with multidimensional data, including 3D geometry concepts (vectors, rotations, coordinate transformations)
- BS with 3+ years' work experience, MS, or PhD in statistics, math, data science, engineering, or physics
- U.S. citizen (required due to export-controlled ITAR/EAR data handling)
Desired Skills & Experience (one or more as complement to core skills):
- Proficiency in Linux environments
- Demonstrated ability to quickly learn new tools, technologies, and domain concepts
- Familiarity with sensor systems (camera, lidar, radar, scientific instruments), signal processing, state estimation, and machine learning techniques
