Description

You own the analysis of system data to drive quality assurance strategy.

Responsibilities

• Trace product issues across environments by hunting down relevant logs and analyzing system behavior patterns.
• Define, scope, and validate telemetry requirements by partnering with engineering to ensure quality signals are captured.
• Design and maintain dashboards reflecting test results, coverage trends, and release health metrics.
• Produce structured reports summarizing product quality, test outcomes, and production health using narrative and metrics.
• Assist QA and development teams in root cause investigations using log data, traces, and usage patterns.

Required Skills

• Strong hands-on experience with data analysis using SQL, Python, or R.
• Skilled in producing clear visualizations using tools like Tableau, Superset, Grafana, or similar.
• Familiarity with log analysis tools, including Splunk, Sumologic, or Kibana.
• Ability to write concise reports that deliver actionable insights for technical and non-technical audiences.
• Comfortable discussing and designing instrumentation and logging requirements with engineers.
• Familiarity with QA concepts, release validation, and production monitoring practices.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Statistics, or a related field.

Key Skills

Education

Bachelor's degree