QA Data Analyst & Telemetry Specialist

QA Data Analyst & Telemetry Specialist (Quality Analytics | Observability | Contract)

📍 Location: Mountainview, CA

Onsite| Large Global Consumer Electronics & Technology Company

🕒 Job Type

Contract (W2 - Only)

Long-term engagement | Enterprise-scale systems

🚀 About the Opportunity

We are a staffing and consulting firm supporting a leading global Consumer Electronics & Technology organization that builds large-scale, data-driven products used by millions worldwide.

We are hiring a QA Data Analyst & Telemetry Specialist to strengthen product quality through data analysis, observability, and telemetry-driven insights. This is a high-impact, cross-functional role working closely with QA, Engineering, Product, and Data teams.

If you enjoy turning logs, metrics, and traces into actionable quality insights, influencing release decisions, and supporting root cause investigations with real data — this role is for you.

💡 What You’ll Be Doing

🔎 Data Analysis & Log Investigation

• Analyze logs, metrics, and telemetry across test, staging, and production environments
• Identify quality risks, defect patterns, regressions, and system behavior trends
• Support QA investigations and improve test coverage strategy with data-backed insights

🧩 Instrumentation & Telemetry Partnership

• Partner with engineers to define what should be logged and measured
• Validate telemetry quality to ensure meaningful quality signals are captured
• Influence instrumentation decisions that improve observability and diagnostics

📊 Dashboards & Visualization

• Design and maintain dashboards for QA, Engineering, and Leadership
• Visualize test results, coverage trends, performance indicators, and release health
• Enable faster, data-driven release readiness decisions

📝 Reporting & Quality Storytelling

• Produce clear weekly summaries, defect trend reports, and quality scorecards
• Combine metrics, visuals, and narrative to communicate quality status effectively
• Translate technical data into insights for non-technical stakeholders

🧠 Root Cause & Production Support

• Assist with root cause analysis using logs, traces, metrics, and real-world usage data
• Support incident reviews, quality postmortems, and continuous improvement efforts

🤝 Cross-Functional Collaboration

• Work closely with QA, Engineering, Product, and Data teams
• Align on which quality signals matter and how they’re consumed across tools

🧰 Required Skills & Experience

• 7–15 years of total professional experience
• 3–5 years of recent cross-functional experience in large-scale environments
• Strong hands-on data analysis experience (SQL required; Python/R preferred)
• Experience building dashboards using tools such as:
• Tableau, Power BI, Grafana, Looker, Superset, Plotly
• Hands-on experience with log analysis / observability tools:
• Splunk, Datadog, Kibana, ElasticSearch, Sumo Logic
• Solid understanding of:
• QA lifecycle, release validation, production monitoring
• Comfortable working with engineers on logging, telemetry, and instrumentation
• Strong written and verbal communication skills

⭐ Nice to Have (Highly Attractive)

• Background in QA, SDET, test automation, or release engineering
• Experience with OpenTelemetry, distributed tracing, or event-driven logs
• Exposure to CI/CD or continuous delivery environments
• Participation in incident reviews or quality postmortems
• Certifications in Data Analytics, SQL, Tableau, or Observability tools

🎓 Education

Bachelor’s degree preferred in:

• Computer Science
• Data Science
• Software Engineering
• Information Systems
• Statistics / Applied Mathematics
• Electrical or Computer Engineering

Equivalent hands-on experience in QA, data analytics, SRE, or systems engineering is welcome.

💼 Why This Role Stands Out

• Enterprise-scale systems and data
• High visibility with engineering and leadership
• Strong influence on product quality and release decisions
• Hybrid work model
• Long-term contract potential

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