layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - Data Analyst II at Echodyne Corp, Kirkland, WA

Clean, format, transform, and validate data collected from field tests and customer deployments. Ingest datasets into databases for analysis.
Label targets of opportunity to enhance datasets used for classification model development.
Apply statistical analysis and data science methodologies to evaluate and characterize radar system performance across key metrics. Identify anomalies, performance degradations, and areas of concern.
Generate clear, well-structured written reports and visualizations summarizing analytical findings for both internal and external consumption.
Present analysis reports to stakeholders, decision makers, and other 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, with the ability to understand analysis requirements and clearly communicate conclusions to technical and non-technical audiences.
Demonstrated technical writing and data visualization skills, with the 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 the ability to work with multidimensional data, including 3D geometry concepts (vectors, rotations, coordinate transformations).
DESIRED SKILLS / EXPERIENCE
(Looking for one or more as a complement to the core skills)
Proficiency in Linux environments.
Demonstrated ability to quickly learn new tools, technologies, and domain concepts.
Familiarity with sensor systems (e.g. camera, lidar, radar, scientific instruments), signal processing, state estimation, and machine learning techniques.

Data Analyst II

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