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Comp Professionals Hit Surge in Demand The clearest identifiable trend in the data we analyzed is a large surge in the demand for compensation professionals, as shown in Figure 1.

That means compensation staff now often need to be able to use AI to analyze data, glean valuable insights that can be shared with internal clients and improve their job performance generally.

Key Takeaways:   Analyze emerging compensation trends and evolving Total Rewards strategies to determine their potential impact on organizational success.

We'll cover real scenarios like compensation strategy, benefits communications, employee engagement, workforce planning, preparing executive narratives, analyzing data, drafting communications, scenario planning for decisions, and translating strategy into execution.

The goal of experts is to repeat successful behaviors, improve sales processes and generate business outcomes by analyzing important data.

For example, an employer can utilize AI to analyze enrollment data and recognize that a worker is enrolled in both the HSA and 401(k) plans and then provide a tool that helps optimize contributions between the two savings vehicles.

Related Courses This learning experience is part of WorldatWork’s suite of Excel mastery courses, which include: Advanced Excel Skills for Compensation Professionals;Analyzing & Automating Rewards Data with Excel;Creating a Dynamic Incentive Modeling Tool;Dynamic Arrays: Excel Turbo Charged;Excel Skills for Compensation Professionals;Excel Power Query;Job Titles & Grades: Creating an Interactive Matrix in Excel;Regression Analysis Made Easy with Excel;Working Smarter & Faster with Excel Formulas; Policies View our Return/Cancellation policies and more here .

The same can hold true for total rewards professionals when analyzing their organization’s compensation system.

Testing the Probability-Based Model WTW analyzed 10 years of CEO annual incentive payouts across the S&P 1500 to validate this framework.

By analyzing more than 1 billion job postings, Lightcast found in its report that among employers seeking AI-fluent workers, 10 leading skills emerged — and only two of them (AI and machine learning) are actually related to the technology.