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Data Analyst – Telemetry & Operations

Full–time

Posted on: 3 days ago

Job Description:
  • Analyze real-time telemetry alerts and operational datasets to validate incidents, identify anomalies, and assess operational impact. • Differentiate true events from false positives, duplicate alerts, and known recurring conditions. • Correlate trends, timestamps, logs, and event data to support severity assessment and operational decision-making. • Prepare clear, data-backed incident summaries to support client and stakeholder response activities. • Provide analytical context and data-driven insights to clients and external vendors during incident investigations. • Track remediation actions, response timelines, and outcomes using structured operational data. • Support escalation and prioritization decisions through evidence-based analysis. Communicate findings clearly and concisely to operations, service management, and project stakeholders. • Identify recurring incident patterns, systemic operational risks, and vendor performance trends. • Highlight gaps in telemetry coverage, data quality, alert logic, or monitoring effectiveness. • Recommend opportunities for alert tuning, automation, and improved monitoring or reporting practices. • Support continuous improvement initiatives by surfacing actionable insights from operational data. • Maintain accurate, auditable records of analyses, incidents, and findings in approved client and company tools. • Contribute analytical insights to improve runbooks, alert definitions, and operational standards. • Support initiatives aimed at reducing Mean Time to Resolution (MTTR) and minimizing repeat incidents. Requirements: • Bachelor’s degree in Data Analytics, Data Science, Computer Science, Engineering (Electrical, Mechanical, Computer, Network), Information Systems, Information Technology, or a related technical field. • 10+ years of experience in a data analyst, operations analyst, or telemetry/monitoring-focused role. • Hands-on experience working with time-series data, logs, alerts, or event-driven datasets. • Strong analytical skills with the ability to interpret noisy, incomplete, or real-time data. • Excellent documentation, written, and verbal communication skills. • Ability to operate independently in fast-paced, incident-driven environments. • Comfort working across vendors and cross-functional technical teams. • Experience supporting data centers, infrastructure operations, NOC/SOC environments, or other critical systems (preferred). • Familiarity with incident management, problem management, or operational analytics practices (preferred). • Exposure to telemetry, observability, or monitoring platforms (preferred). • Understanding of root cause analysis concepts and service management frameworks (e.g., ITIL) (preferred). Benefits: • paid time off • performance-based bonuses • excellent medical, vision and dental insurance Apply tot his job