Network Data Analyst

Data Analysis & Issue Identification

• Analyze large volumes of configuration data from routers, switches, firewalls, and other network devices to detect inconsistencies, misconfigurations, or policy deviations.
• Perform root cause analysis on recurring automation failures across provisioning, config pushes, validation workflows, and other automated tasks.
• Create pattern recognition models or rule based analytics to detect systemic issues, configuration drift, and common sources of failure. Automation & Tooling Insights
• Review logs, automation outputs, and exception data to identify failure modes in automated workflows.
• Provide actionable recommendations to improve automation resilience and data quality (e.g., schema issues, edge case handling, device specific quirks).
• Work with automation engineers to validate fixes, enhancements, or new detection rules. Data Engineering & Visualization
• Build and maintain dashboards, reports, and data pipelines that surface anomalies, trends, and KPIs related to network config health and automation success rates.
• Develop scripts and analytical models using Python, SQL, or similar tools to streamline data processing and pattern detection.
• Ensure data integrity across sources such as inventory systems, config repositories, telemetry platforms, and automation logs. Cross Functional Collaboration
• Collaborate with Network Engineering and Reliability Engineering teams to translate analytical findings into operational improvements.
• Participate in incident reviews and post mortems to provide data driven insights.
• Support standards development by identifying common misconfigurations and configuration policy gaps.