Total Rewards and Human Capital Analytics Course

Name: Advanced Total Rewards and Human Capital Analytics Training Course
Availability: InStock

Use workforce evidence to evaluate pay, benefits, incentives, equity, retention, and strategic reward choices.

Total Rewards and Human Capital Analytics Course

At a glance

Duration: 1 Week
Format: Classroom
Cities: Kuala Lumpur, Nice, Berlin, Cairo, Athens, Manama and more
Next session: 19 – 23 October 2026, Kuala Lumpur
Average fee: 5,800 €

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Advanced Total Rewards and Human Capital Analytics Training Course

Overview

Advanced Total Rewards and Human Capital Analytics Training Course is a one-week course for rewards specialists, HR analysts, workforce planners, and HR leaders who leave with a Rewards Analytics Decision Pack. Participants connect rewards strategy, workforce segmentation, pay and benefits data, equity diagnostics, retention indicators, and scenario analysis. The course replaces isolated measures with traceable evidence, comparable options, and documented recommendations. Agile Leaders Training Center develops total rewards and human capital analytics practice.

Who Should Attend

Rewards functions responsible for compensation, benefits, incentives, and recognition decisions
HR analytics functions responsible for workforce measures and evidence quality
Workforce planning functions responsible for segments, demand, retention, and cost scenarios
HR leadership functions responsible for approving rewards priorities and investments
Finance partners responsible for workforce cost and scenario review

The course assumes participants already work with HR data, reward policies, and spreadsheets; it leaves out payroll processing, tax advice, and certification preparation.

Departments and Industries

The course supports departments and industries that evaluate rewards through workforce evidence.

Human resources, compensation, benefits, people analytics, and workforce planning
Finance, strategy, performance, and organizational development functions
Financial services, retail, technology, and consulting organizations
Manufacturing, logistics, energy, and engineering organizations
Healthcare, education, public administration, and nonprofit organizations

Learning Objectives

By the end of this course, participants will be able to:

Apply a total rewards portfolio and outcome map.
Analyze pay, benefits, incentives, recognition, and workforce segments.
Diagnose pay distributions, gaps, and equity indicators.
Evaluate retention, performance, utilization, and reward effectiveness.
Compare reward scenarios, costs, risks, and trade-offs.
Build a Rewards Analytics Decision Pack.

Course Agenda

Day 1: Frame Rewards Strategy and Evidence

Total Rewards Portfolio and Outcome Map
Workforce Segment and Employee Group Matrix
Reward Decision Question Canvas
Reward Data Source and Definition Register
Rewards Analytics Decision Pack Structure

Day 2: Analyze Pay and Equity

Job and Pay Data Quality Checklist
Market Position and Pay Distribution Profile
Compa-Ratio and Range Penetration Analysis
Pay Gap and Workforce Segment Diagnostic
Pay Equity Evidence and Exception Log

Day 3: Evaluate Benefits and Incentives

Benefits Utilization and Participation Dashboard
Employee Value and Cost Trade-Off Matrix
Incentive Measure and Payout Curve Review
Recognition Reach and Distribution Analysis
Reward Portfolio Balance Scorecard

Day 4: Connect Rewards to Workforce Outcomes

Retention and Turnover Segment Analysis
Performance and Reward Relationship Grid
Workforce Cost and Outcome Driver Tree
Reward Scenario and Sensitivity Table
Recommendation Evidence and Risk Record

Day 5: Practice Rewards Analytics Decisions

Exercise: Diagnose a Pay Distribution
Exercise: Evaluate Benefits Utilization
Exercise: Compare Reward Scenarios
Exercise: Defend a Rewards Recommendation
Capstone: Rewards Analytics Decision Pack

Practical Exercises

The course uses suggested activities based on service, manufacturing, healthcare, and technology workforces.

Suggested activity: segment a workforce and define reward questions, measures, and evidence limits.
Suggested activity: diagnose pay distribution and equity indicators without inferring unsupported causes.
Suggested activity: compare benefits and incentive options through utilization, cost, and outcome evidence.
Suggested activity: prepare a rewards recommendation with scenarios, trade-offs, risks, and monitoring measures.

FAQs

Who suits total rewards and human capital analytics training, and what does it assume?

Rewards, HR analytics, workforce planning, HR leadership, and finance partner functions suit the training. It assumes experience with HR data, reward policies, and spreadsheets.

How does total rewards analytics differ from compensation design training?

Total rewards analytics evaluates compensation, benefits, incentives, recognition, workforce segments, and outcomes, while compensation design training concentrates on pay structures, grades, ranges, and salary administration.

How can human capital analytics support total rewards decisions?

Human capital analytics supports total rewards decisions by connecting reward inputs with workforce segments, utilization, retention, performance, cost, and evidence limitations.

What does pay equity analysis examine?

Pay equity analysis examines job and pay data quality, comparable groups, distributions, gaps, exceptions, and documented factors before recommendations are made.

How are total rewards scenarios compared?

Total rewards scenarios are compared through explicit assumptions, affected workforce segments, cost, expected outcomes, sensitivity, implementation risk, and monitoring measures.

Conclusion

Participants take back a Rewards Analytics Decision Pack containing portfolio maps, data definitions, segment profiles, pay diagnostics, benefits and incentive analyses, outcome drivers, scenarios, risks, and a recommendation brief. It changes disconnected HR measures into a governed rewards decision process. The pack supports traceable choices and repeatable monitoring.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-74 of 74 events

Location	Dates	Duration	Mode	Price
Amsterdam	Week 31, 2027 2 – 6 August 2027	1 Week	Onsite	€5,700
Milan	Week 32, 2027 9 – 13 August 2027	1 Week	Onsite	€5,700
Bangkok	Week 32, 2027 15 – 19 August 2027	1 Week	Onsite	€6,000
New York	Week 34, 2027 23 – 27 August 2027	1 Week	Onsite	€12,000
Johannesburg	Week 34, 2027 29 August – 2 September 2027	1 Week	Onsite	€4,500
Prague	Week 36, 2027 6 – 10 September 2027	1 Week	Onsite	€6,000
Nairobi	Week 37, 2027 19 – 23 September 2027	1 Week	Onsite	€4,500
Vienna	Week 38, 2027 20 – 24 September 2027	1 Week	Onsite	€5,700
Cape town	Week 38, 2027 26 – 30 September 2027	1 Week	Onsite	€4,500
Rome	Week 39, 2027 27 September – 1 October 2027	1 Week	Onsite	€5,700
Abu Dhabi	Week 40, 2027 4 – 8 October 2027	1 Week	Onsite	€4,700
Amsterdam	Week 41, 2027 11 – 15 October 2027	1 Week	Onsite	€5,700
Chicago	Week 41, 2027 17 – 21 October 2027	1 Week	Onsite	€12,000
Dubai	Week 42, 2027 18 – 22 October 2027	1 Week	Onsite	€4,500

Frequently asked questions

What does this course cover?

OverviewAdvanced Total Rewards and Human Capital Analytics Training Course is a one-week course for rewards specialists, HR analysts, workforce planners, and HR leaders who leave with a Rewards Analytics Decision Pack. Participants connect rewards strategy, workforce segmentation, pay and benefits data, equity diagnostics, retention indicators, and scenar…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Total Rewards and Human Capital Analytics Course