Data Analyst

About the role

The Data Analyst will transform raw qualification and lab data into actionable insights for engineering teams. They will work closely with hardware, firmware, and networking engineers to ensure data integrity and automate reporting pipelines.

Responsibilities

• Clean, normalize, and organize raw qualification and interoperability test data
• Analyze basic metrics and trends to identify anomalies, failures, or performance gaps
• Validate data accuracy, completeness, and consistency across test runs and platforms
• Support root-cause investigations through data-driven insights
• Generate standardized qualification and interoperability reports
• Aid in automating data processing and reporting workflows using scripts or tools
• Support development of centralized data storage and reporting solutions
• Improve repeatability and reliability of reporting outputs
• Partner with hardware, firmware integration, and networking engineers to interpret results
• Translate raw test data into clear technical insights for stakeholders
• Maintain clear documentation of data flows, assumptions, and limitations
• Identify gaps or inefficiencies in data collection and reporting processes
• Contribute to best practices for data handling and validation in lab environments
• Support continuous improvement of interoperability qualification workflows

Requirements

• Bachelor’s degree in engineering, data science, computer science, or a related field (or equivalent practical experience)
• Experience with scripting (Python, Bash, etc.)
• Strong analytical mindset with attention to detail and data accuracy
• Comfort working with structured and unstructured technical data
• Interest in lab-based engineering, qualification testing, or interoperability
• Ability to communicate technical findings clearly to cross-functional teams
• Self-starter who thrives in a fast-paced, technical environment

Qualifications

• Legally authorized to work in the United States on a permanent basis without the need for employer sponsorship, now or in the future

Skills

• Familiarity with test data formats, lab instrumentation outputs, or logging systems
• Exposure to hardware, firmware, or networking test environments
• Experience with dashboards, reporting tools, or data versioning
• Interest in growing into broader Systems, Validation, or Interop Engineering roles

Benefits

• Medical, dental, vision, flexible spending and health savings accounts
• Life insurance, ADD, disability, retirement
• Paid vacation/time off, educational assistance
• May include infertility assistance, paid parental leave and adoption assistance