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SAP Workflow Analyst
Amazon Dev Center India
๐ข Active ยท Posted Today ยท ๐ 8 views ยท ๐ฅ 0 applied
Job Description
Amazon is hiring an experienced SAP Workflow Analyst for its Workforce Management (TSI Vertical) team in Hyderabad. This role is ideal for professionals with experience in Workforce Management (WFM), Real-Time Analysis (RTA), or Contact Center Operations who are passionate about operational excellence and delivering outstanding customer experiences.
As a SAP Workflow Analyst, you will monitor workforce schedules, maintain service levels, manage operational tickets, support workforce planning, and collaborate with operations teams to improve overall business efficiency.
Key Responsibilities
- Monitor real-time schedule adherence, including breaks, absenteeism, late logins, early logouts, and other schedule deviations.
- Handle workforce-related requests, including profile changes and non-production activities.
- Prepare and communicate daily service-level performance reports to Workforce Management leadership.
- Identify system outages and initiate escalation procedures to minimise operational impact.
- Collaborate with Workforce Management and Operations teams to maintain staffing efficiency.
- Drive real-time adherence to staffing plans and service-level targets.
- Communicate changes in contact patterns and staffing requirements to operations.
- Support routing updates for workforce skills and associate profiles.
- Perform root cause analysis and recommend process improvements.
- Create and maintain standard operating procedures to improve operational efficiency.
Basic Qualifications
- Minimum 2+ years of experience in Workforce Management (WFM), Real-Time Analyst (RTA), or Contact Center Management.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Ability to work in a 24ร7 rotational shift environment.
Preferred Qualifications
- Previous Amazon experience.
- 4+ years of contact center experience.
- Experience managing workforce schedules and service levels.
- Strong stakeholder management skills.
- Experience driving operational improvements using data analysis.
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