Data Analyst II
About The Position
Echodyne is seeking a Data Analyst II to ingest, label, and analyze data collected from tests and field deployments to evaluate radar system performance. The role focuses on identifying potential issues, generating timely and actionable insights, and collaborating with cross-functional teams to improve product performance and customer outcomes. The analyst will support data processing and analysis pipelines, root cause investigations, and maintenance of target-classification machine learning models. The role requires strong communication, technical writing, data visualization, statistical analysis, and Python and SQL skills. The analyst will work with structured and unstructured, multidimensional data, including 3D geometry concepts. A bachelor's degree with at least three years of work experience, a master's degree, or a PhD in a relevant field is required. The role may involve handling export-controlled information and requires U.S. citizenship as stated in the posting.
Requirements
- Strong written and verbal communication skills, including the ability to understand analysis requirements and clearly communicate conclusions to technical and non-technical audiences.
- Technical writing and data visualization skills, including the ability to present complex findings in an interpretable and actionable manner.
- A 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 and the ability to work with multidimensional data, including 3D geometry concepts such as vectors, rotations, and coordinate transformations.
- BS with at least 3 years of work experience, MS, or PhD in statistics, math, data science, engineering, or physics.
- U.S. citizenship; the role may require handling export-controlled (ITAR, EAR) data.
Nice To Haves
- Proficiency in Linux environments.
- Ability to quickly learn new tools, technologies, and domain concepts.
- Familiarity with sensor systems such as cameras, lidar, radar, or scientific instruments; signal processing; state estimation; and machine learning techniques.
Responsibilities
- Clean, format, transform, and validate data collected from field tests and customer deployments, and 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 radar system performance across key metrics.
- Identify anomalies, performance degradations, and areas of concern.
- Generate written reports and visualizations summarizing analytical findings for internal and external audiences.
- 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.
Benefits
- Restricted Stock Units (RSU)
- Fully paid medical, dental, and vision insurance premiums for the employee
- Choice of PPO or HDHP/HSA
- Virtual Care – 98Point6
- Employee Assistance Program
- Mental health coverage through Springhealth & Talkspace (Premera)
- Travel Assistance Insurance
- Company-paid life insurance
- Company-paid short- and long-term disability
- Flexible PTO for exempt employees or 15 days per year for non-exempt employees
- 401(k) match
- Pet insurance
- Prepaid legal program
- Commuter benefits
- Paid company holidays
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
