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Tier-1 brand, popular analyst title, metro locations, and broad skill requirements drive high competition.
Moderate—operations and consulting skills transferable but domain-specific service operations expertise preferred.
Moderate filters: explicit 1+ years, degree requirements, and coding skills.
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Support client service teams by addressing content-focused questions in service operations and contributing to knowledge development for client proposals.
Apply and learn low-code/no-code platforms; contribute to MVPs, prototypes, and GenAI knowledge sharing within the Service Operations practice.
Conduct data collection, analysis, diagnostics, and contribute to operational recommendations, proprietary tools, and benchmarking databases across sectors and service domains.
Bachelor’s degree in engineering, technology, analytics, or related discipline (Master’s or MBA with operations focus is a plus).
1+ years of relevant experience in service operations, business operations, analytics, or related environment with exposure to digital or AI-enabled ways of working.
Coding skills in Excel VBA, Excel Macros, R, Python, or any other open-source language.
Specific knowledge of service operations topics such as General & Administrative functions, customer care, workforce management, benchmarking, diagnostics, and digital solution implementation is desirable.
Experienced in applying analytical and digital solutions within service operations, with practical coding ability and knowledge of AI/digital tools.
Able to support structured problem-solving and operational improvements using proprietary frameworks and data-driven insights across multiple sectors.
Comfortable working in a collaborative team environment, supporting diverse clients, and contributing to knowledge and capability building initiatives in a fast-paced setting.