About the Opportunity
We are seeking an experienced Senior Workforce Analyst - Forecasting, WFM Analytics & AI to help advance our forecasting and workforce planning capabilities. This role is designed for a seasoned forecasting professional who can independently lead complex forecasting and workforce analytics while modernizing how forecasts are developed, monitored, analyzed, and communicated. The successful candidate will combine strong forecasting and WFM expertise, advanced Power BI capabilities, structured problem solving, automation, and practical application of AI to answer the questions that matter most: What changed? Why did it change? Is it temporary or structural? What happens next? What is the workforce impact? What action should we take? You will partner with Operations, Workforce Management, Finance, Data/Technology teams, and senior leaders to translate complex operational data into actionable workforce decisions
Location: Work is what you do, not where you go. For this role, we are open to remote work and can hire anywhere in the Philippines.
What You’ll Get to Do:
Lead the development and continuous improvement of workforce forecasting, capacity planning, and workforce analytics methodologies across complex operational workstreams.
Develop integrated, driver-based forecasts across voice, chat, cases/tickets, and asynchronous or backlog workloads, accounting for channel-specific demand patterns, productivity, concurrency, service targets, and shared capacity.
Translate different workload types and productivity measures into a common capacity framework that provides clear views of required FTE, available capacity, over/under position, service risk, and resource-rebalancing opportunities.
Perform advanced variance, trend, and root-cause analysis to distinguish normal variation and seasonality from emerging or structural changes in demand, productivity, backlog, staffing, and service performance.
Build scenario and sensitivity models to quantify the workforce impact of changes in demand, productivity, staffing, shrinkage, attrition, automation, service expectations, and other business assumptions.
Design and enhance Power BI dashboards, data models, DAX measures, KPIs, and executive reporting that connect workforce drivers with operational and customer outcomes.
Develop automated and exception-based monitoring to identify meaningful changes in demand, productivity, capacity, backlog, SLA, AHT, shrinkage, forecast performance, and other workforce drivers.
Apply AI and automation to accelerate forecast analysis, anomaly detection, scenario development, data validation, insight generation, and recurring analytical workflows.
Evaluate AI-generated analysis using statistical validation, operational context, business knowledge, human judgment, and appropriate governance to ensure recommendations are reliable and actionable.
Partner with Operations, WFM, Finance, Data and Technology teams, and senior leaders to challenge assumptions, incorporate forward-looking business intelligence, and influence workforce and capacity decisions.
Identify opportunities for capacity optimization, cross-skilling, resource allocation, process improvement, and automation across teams and work types.
Help establish forecasting and WFM standards, improve analytical practices, and mentor analysts in forecasting, workforce analytics, problem solving, and insight development.
Skills and Experience We Value:
5–7+ years of progressive experience in workforce forecasting, capacity planning, workforce management, operational forecasting, or advanced workforce analytics within a complex operational environment.
Demonstrated expertise building driver-based workforce forecasts and translating workload, productivity, and service assumptions into staffing/FTE requirements, capacity gaps, risks, and operational recommendations.
Strong multi-channel forecasting experience across voice, chat, cases/tickets, and asynchronous or backlog work, including…