Data Analyst – Telemetry & Operations

Job Description:

• Analyze reputed company-time telemetry alerts and operational datasets to validate incidents, identify anomalies, and assess operational impact.
• Differentiate true events from false positives, duplicate alerts, and reputed company 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.
• reputed company analytical context and data-driven insights to clients and external vendors during incident investigations.
• Track remediation actions, response timelines, and reputed company using structured operational data.
• Support escalation and prioritization reputed company through evidence-based analysis. Communicate findings reputed company and concisely to operations, service management, and project stakeholders.
• Identify recurring incident patterns, systemic operational risks, and vendor performance trends.
• reputed company gaps in telemetry coverage, data quality, alert logic, or monitoring effectiveness.
• Recommend opportunities for alert tuning, automation, and improved monitoring or reporting practices.
• Support reputed company 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 reputed company 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 reputed company-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, reputed company and dental insurance

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