Assist in generating and updating mid-term and short-term volume forecasts using historical data, trend analysis, and business inputs
Develop, maintain, and continuously improve forecasting models (volume, workload, and shrinkage) using historical data, trends, and predictive analytics.
Analyze daily, weekly, and monthly patterns to support dynamic staffing recommendations and capacity planning.
Forecast mid to short term visit demand and job times for field mobility workforce, using historical propensities and commercial drivers.
Forecast mid to short term contact demand and call handling time (AHT) for service contact center, using historical propensities and commercial drivers
Collaborate with internal teams (Operations, WFM Scheduling, HR, and Finance) to gather relevant business intelligence (e.g., marketing campaigns, seasonality, product launches).
Create scenario planning models to simulate and present impacts of potential business changes or disruptions.
Communicate forecasts and insights to stakeholders through clear visualizations, reports, and presentations.
Monitor actual performance against forecasts, perform variance analyses, and refine forecasting methods accordingly.
Skills & Qualification
5-10 years of experience in workforce management forecasting, preferably in a contact center or service operations environment.
Proficient in Microsoft Excel (including pivot tables, formulas, and charts).
Basic knowledge of data analysis tools such as Time series, predictive analysis, Machine learning, R, Python).
Experience with WFM software like NICE IEX will be an added advantage
Basic understanding of forecasting methodologies (time series, regression, weighted average)
Real sense of ownership and accountability to deliver against plan.
Exceptional analytical and problem-solving skills, with attention to detail and accuracy.
Ability to forge positive, objective relationships with Client, Operations and Support teams.
Adapt, thrive and multitask in a demanding workplace while managing pressure, deadlines and conflicting and shifting priorities.
Proficiency in basic arithmetic and statistical concepts
Must demonstrate perceptive, thorough and decisive approach to problem solving.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full time