Workflow Analyst , Ring Data Engineering Services

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Operations, IT, & Support Engineering

The Workflow Analyst role focuses on tactical planning for Operations, ensuring adequate staffing and resource allocation to meet customer service demands. This involves analyzing operational performance, creating schedules, mitigating capacity gaps, and developing plans to address deviations from service level agreements. The role requires experience in workforce management, statistical modeling for forecasting and optimization, and working within demand-driven customer support environments.

What you'd actually do

  1. delivers weekly analytical insights of operational performances with call-outs on misses to drive adherence to plan
  2. delivers optimal global schedule coverage across all leave types
  3. provides tactical outward view to operational partners to ensure capacity gaps are mitigated proactively
  4. partners and consults with stakeholders on capacity planning input assumptions
  5. provides global and geo-region specific holiday scheduling plans

Skills

Required

  • Contact Center Management / Workforce Management (WFM) / Real Time Analysis (RTA)
  • Workforce Management related field such as scheduling, capacity planning, real-time analytics, or workforce planning
  • building and analyzing models using various statistical tools for forecasting and optimization
  • demand driven customer support operations environment

Nice to have

  • SQL
  • Excel
  • Access
  • Business Acumen
  • Data Analysis
  • Stakeholder Management
  • Collaborative
  • Ownership

What the JD emphasized

  • analytical mindset
  • workforce management experience
  • analytical insights
  • optimal global schedule coverage
  • capacity gaps are mitigated proactively
  • capacity planning input assumptions
  • holiday scheduling plans
  • monitors SLA and operational performance
  • path-to-green plans
  • correction plans
  • adherence to plans
  • statistical tools for forecasting and optimization
  • demand driven customer support operations environment