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Title: QA Data Analyst & Telemetry Specialist
Location: Mountain View, CA
Duration: 12+Months contract
Job Description:
About the Role:
Were looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting.
Responsibilities:
Data Analysis & Log Investigation
Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.
Instrumentation Partnership
Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.
Dashboards & Visualization
Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.
Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.
Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how theyre consumed across tools and stakeholders.
Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.
Strong hands-on experience with data analysis (SQL, Python, R, or similar)
Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)
Able to write concise reports with actionable insights weekly summaries, defect overviews, quality scorecards, etc.
Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)
Comfortable discussing and designing instrumentation/logging with engineers
Familiarity with QA concepts, release validation, and production monitoring
Strong communication skills; can adapt output to technical and non-technical audiences