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Data Analyst – Telemetry & Operations

Remote · USA Full-time New today

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

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