Support business and operational teams by forecasting demand, workload, or volume patterns using historical trends, seasonality, pipeline inputs, and business drivers to enable forward-looking planning. • Develop and maintain capacity and staffing analytics, translating forecasted demand into required resource levels based on productivity, utilization assumptions, skill mix, and service-level expectations. • Perform scenario and what‑if analyses (e.g., growth scenarios, attrition impact, hiring delays, demand spikes) to help leadership understand trade-offs and risks associated with staffing decisions. • Analyze workforce-related data such as capacity, utilization, availability, and performance using SQL and analytical platforms (e.g., Vertica) to identify gaps, excesses, and optimization opportunities. • Execute data preparation, transformation, and integration activities using SQL and Alteryx, ensuring clean, consistent, and reliable inputs for forecasting and staffing models. • Design and maintain Tableau dashboards and analytical reports that provide clear visibility into demand vs. capacity, staffing gaps, utilization trends, and forecast Docusign Envelope ID: EDB61647-A540-48D8-8733-8A8C8C371BFA accuracy for operational and leadership stakeholders. • Continuously refine forecasting methodologies, assumptions, and models based on actuals, variance analysis, and feedback to improve accuracy and reliability over time. • Identify and flag workforce-related risks such as skill shortages, attrition trends, capacity constraints, or forecast volatility, and support mitigation planning through data-backed insights. • Ensure data quality, governance, and transparency by maintaining documented assumptions, calculation logic, model versions, and clear traceability from source data to reported outcomes. • Enable reuse and adoption of analytics by documenting dashboards, data definitions, and forecasting approaches, supporting consistent interpretation across stakeholders.
Support business and operational teams by forecasting demand, workload, or volume patterns using historical trends, seasonality, pipeline inputs, and business drivers to enable forward-looking planning. • Develop and maintain capacity and staffing analytics, translating forecasted demand into required resource levels based on productivity, utilization assumptions, skill mix, and service-level expectations. • Perform scenario and what‑if analyses (e.g., growth scenarios, attrition impact, hiring delays, demand spikes) to help leadership understand trade-offs and risks associated with staffing decisions. • Analyze workforce-related data such as capacity, utilization, availability, and performance using SQL and analytical platforms (e.g., Vertica) to identify gaps, excesses, and optimization opportunities. • Execute data preparation, transformation, and integration activities using SQL and Alteryx, ensuring clean, consistent, and reliable inputs for forecasting and staffing models. • Design and maintain Tableau dashboards and analytical reports that provide clear visibility into demand vs. capacity, staffing gaps, utilization trends, and forecast Docusign Envelope ID: EDB61647-A540-48D8-8733-8A8C8C371BFA accuracy for operational and leadership stakeholders. • Continuously refine forecasting methodologies, assumptions, and models based on actuals, variance analysis, and feedback to improve accuracy and reliability over time. • Identify and flag workforce-related risks such as skill shortages, attrition trends, capacity constraints, or forecast volatility, and support mitigation planning through data-backed insights. • Ensure data quality, governance, and transparency by maintaining documented assumptions, calculation logic, model versions, and clear traceability from source data to reported outcomes. • Enable reuse and adoption of analytics by documenting dashboards, data definitions, and forecasting approaches, supporting consistent interpretation across stakeholders.
Data science & Staffing models experience
Choosing a digital partner is about more than capabilities — it’s about collaboration and character.
Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.
At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.
Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.
Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.
For more information, visit www.exlservice.com.
