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Service Command Analyst

Navan
Bengaluru, IND
Full-time
Mid-Senior
Onsite
Discovered Yesterday
Real-time operationsWorkforce managementOmnichannel routing platformsGenesys CloudThoughtSpotPower BI

Full Job Posting

About the role

The Service Command Analyst controls live global travel operations in an exception-based, AI-supported Resource Orchestration Center.

The analyst owns assigned service portfolios during a regional shift and adapts across business tiers and service channels.

Exception response and SLA recovery

  • Monitor automated alerts for SLA risks, volume spikes, and average-handle-time anomalies.
  • Use operational levers such as skill blending, channel pivots, schedule adjustments, and micro-shift overtime to maintain target SLAs.
  • Move agents between queues and assignments according to real-time thresholds and business priorities.

Portfolio and incident control

  • Control assigned portfolios during a regional shift and adapt to volume trends across multiple business lines.
  • Coordinate follow-the-sun handoffs with international counterparts for continuous global operations.
  • Lead responses to travel disruptions, system outages, flight groundings, weather impacts, and natural disasters.
  • Issue executive notifications and dynamically reallocate staffing resources to mitigate traveler impact.

Cross-training and collaboration

  • Cross-train in forecasting, capacity planning, and basic data intelligence, including ThoughtSpot and AI prompting.
  • Work with service intelligence, BI and automation, and service excellence colleagues to identify tasks for automation.

Experience and technical background

  • At least 2 years of progressive Workforce Management, Real-Time Operations, or Operational Command Center experience.
  • Travel-industry experience is a plus.
  • A strong understanding of modern omnichannel routing platforms is required; Genesys Cloud experience is highly preferred.

Data and communication skills

  • Familiarity with data visualization tools such as ThoughtSpot, Power BI, or Tableau and data lakes such as Snowflake.
  • Strong systems thinking and ability to assess AI-driven recommendations and select operational responses under pressure.
  • Strong communication and interpersonal skills, including executive summaries and cross-department coordination.

Technology and operational context

The Resource Orchestration Center uses Genesys Cloud, Snowflake data lakes, ThoughtSpot, and AI-driven analytics.

The operation supports a 1,000-agent, 24/7 global travel service.

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