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We are seeking a highly skilled Senior Workforce Management (WFM) Analyst to own forecasting, capacity planning, and reporting across our inbound and outbound contact center operations. This role requires strong SQL expertise and hands-on experience with cloud-based contact center platforms (NICE inContact / CXone, RingCentral, or similar). The ideal candidate thrives at the intersection of data, operations, and strategy, helping us improve service levels, optimize staffing, and deliver an exceptional patient experience.
Job Responsibility:
Analyze and interpret contact center KPIs (Service Level, ASA, Abandonment, Occupancy, Shrinkage, etc.) and deliver executive-level reporting
Partner with process innovation team to develop self-service reporting dashboards in SQL and BI tools (Power BI, Tableau, Looker, etc.)
Build, maintain, and refine short- and long-term forecasts for contact volumes, handle times, and staffing requirements across multiple sites or business lines
Leverage advanced analytics and machine learning (ML/NLP) techniques to improve forecasting accuracy and workforce optimization
Conduct capacity planning and scenario modeling to inform hiring, scheduling, and performance improvement strategies
Write and optimize SQL queries to extract, transform, and analyze large data sets for actionable insight
Support scheduling and intraday management strategies in collaboration with WFM scheduling and real-time teams as needed
Serve as a subject matter expert (SME) in workforce management and telephony reporting integrations (NICE CXone, DialPad, RingCentral, ServiceNow, etc.)
Lead and contribute to process improvement initiatives focused on efficiency, automation, and agent engagement
Requirements:
Bachelor’s degree in Business, Mathematics, Statistics, Data Analytics, or a related field — or equivalent work experience
4+ years of workforce management experience in a high-volume contact center environment
Demonstrated proficiency in SQL and data visualization/reporting tools
Hands-on experience with NICE inContact / CXone, RingCentral, or other major contact center platforms
Deep understanding of Erlang-C modeling, interval-based forecasting, shrinkage planning, and occupancy optimization
Advanced proficiency with Excel, SQL, and BI tools (Power BI, Tableau, Looker)
Strong grasp of contact center KPIs and their operational drivers
Excellent analytical and problem-solving skills with the ability to simplify complex data for diverse audiences
Exceptional communication and presentation skills — able to influence stakeholders across all levels
Highly organized, detail-oriented, and capable of managing multiple priorities independently
Proven ability to innovate and implement new tools, dashboards, or analytic techniques
Nice to have:
Master’s degree in Data Science, Operations Research, or a related quantitative discipline
Experience applying machine learning, NLP, or advanced forecasting models to contact center or workforce management data
Experience supporting multi-site or global operations with complex vendor partnerships
Familiarity with automation tools (Python, R, or API integrations)