Total Rewards and HR Analytics Training Course

Duration 10 days 16 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Compensation and Benefits Managers, HR Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 16 Nov 2026 Course code SD-CB-033

Before you join: Participants should have at least two years of HR, compensation, benefits, finance or workforce planning experience.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Reward programmes often grow through separate salary reviews, benefit renewals, incentive plans and policy exceptions. The result can be inconsistent employee value propositions, uncontrolled labour costs, weak links to performance, and limited evidence that reward spending improves attraction, retention or workforce outcomes. HR teams need to connect reward decisions to workforce strategy while using reliable data, defensible job structures and clear governance.

This course develops practical capability in total rewards design and human capital analytics. Participants examine the WorldatWork Total Rewards Model, reward strategy, job architecture, market pricing, pay structures, variable pay, benefits, wellbeing and recognition. They build analytical skills for reward dashboards, workforce cost analysis, pay equity testing, benefits utilisation analysis and return-on-investment evaluation. Attention is given to data definitions, privacy, statistical interpretation, policy controls and communication with finance, executives and employees.

Teaching combines focused briefings with realistic reward cases from banking, public services, NGOs, manufacturing and multinational employers. Participants work with compensation surveys, workforce datasets, benefit claims data and reward policy scenarios. During the course, they progressively build a total rewards diagnostic, analytical workbook, reward scorecard and implementation plan. They leave with a complete evidence-based total rewards proposal that can be adapted for their employer.

The course suits HR professionals who contribute to compensation, benefits, workforce planning, people analytics or HR business partnering. It is particularly relevant for organisations seeking more disciplined reward governance, improved pay fairness, stronger benefits decisions and clearer reporting on human capital investment.

What you will be able to do

  • Design a total rewards framework aligned with workforce strategy and employee segments
  • Analyse compensation market data and construct salary ranges using market-pricing methods
  • Build workforce cost models linking headcount, pay, benefits and incentive expenditure
  • Interpret HR metrics and dashboards using sound data definitions and visualisation principles
  • Model pay equity analyses using regression, cohort comparisons and adverse-impact tests
  • Evaluate benefits and reward programmes through utilisation, cost and outcome measures
  • Prepare a reward governance plan covering approvals, controls, policies and communications
  • Present an evidence-based total rewards proposal with analytics, financial implications and implementation actions

Benefits of attending

For you

  • Produce defensible salary, benefits and incentive recommendations for senior decision-makers
  • Apply pay equity methods to identify and investigate unexplained pay differences
  • Build reward dashboards that translate workforce data into management actions
  • Strengthen credibility in discussions with finance, executives and employee representatives
  • Create a portfolio-quality total rewards proposal for immediate workplace use

For your organisation

  • Improves consistency between reward spending, workforce strategy and employee value propositions
  • Reduces unmanaged labour-cost exposure through better forecasting and reward governance
  • Provides clearer evidence for benefit renewal, incentive design and pay-budget decisions
  • Supports fairer pay outcomes through repeatable equity analysis and escalation processes
  • Creates decision-ready reward reporting for executives, boards and budget holders

Course modules

16 modules over 10 days

Participants can diagnose the components, value proposition and strategic fit of an existing total rewards offering.

  • WorldatWork Total Rewards Model used to map reward elements and gaps
  • Employee value proposition linked to workforce segments and business priorities
  • Direct, indirect and relational rewards distinguished through practical reward inventories
  • Reward principles translated into decision rules for consistent people decisions
  • External competitiveness balanced against internal equity and affordability constraints
  • Total remuneration statements assessed for clarity, accuracy and employee relevance
  • Reward operating model roles assigned across HR, finance and business leadership

Participants can formulate reward strategy principles, governance arrangements and decision controls.

  • Reward strategy cascade connecting corporate priorities, talent needs and programmes
  • Segmentation methods identify differentiated reward needs without arbitrary exceptions
  • Governance charters define accountabilities, approval thresholds and escalation routes
  • Policy hierarchy separates principles, policies, procedures and manager guidance
  • Reward risk register captures financial, legal, conduct and reputational exposures
  • Annual reward calendar coordinates budgeting, benchmarking, reviews and communications
  • Decision rights mapped through RACI for salary, benefits and incentive actions

Participants can use job architecture to support consistent job evaluation, grading and reward decisions.

  • Job architecture connects job families, career levels, grades and pay opportunities
  • Job analysis gathers accountabilities, scope, knowledge and working conditions
  • Point-factor job evaluation measures know-how, problem solving and accountability
  • Benchmark jobs selected using stable content and reliable market matches
  • Career frameworks distinguish technical, managerial and professional progression routes
  • Job descriptions tested against grade criteria and organisational accountabilities
  • Grade governance manages new roles, re-evaluations and role-design changes

Participants can assess market pay data and make defensible pricing recommendations.

  • Compensation survey sources compared for scope, quality and participant relevance
  • Market matching applies job content, level, geography and industry criteria
  • Percentile statistics interpreted using median, quartiles, ranges and sample sizes
  • Aging survey data adjusts historical benchmarks using documented market movement
  • Market reference points selected against talent scarcity and affordability objectives
  • Data-cleaning checks identify outliers, duplicate records and implausible observations
  • Pricing rationales document match quality, evidence limitations and recommendation confidence

Participants can construct pay ranges and administer salary decisions within controlled guidelines.

  • Pay policy line links grade midpoints to external market reference points
  • Range spreads set by career level, job variability and progression requirements
  • Midpoint progression calculates grade differentials and structure continuity
  • Compa-ratio analysis identifies employees below, within and above range
  • Range penetration measures individual progression through established salary ranges
  • Salary administration guidelines address hiring, promotion, retention and red-circle pay
  • Merit matrix combines performance ratings, compa-ratios and budget constraints

Participants can design and evaluate variable-pay plans aligned with measurable performance outcomes.

  • Variable pay purpose distinguished from fixed pay, recognition and benefits
  • Line-of-sight test assesses participant influence over performance measures
  • Incentive scorecards combine financial, operational, customer and risk measures
  • Thresholds, targets and maximums establish payout curves and risk boundaries
  • Gate conditions prevent payouts when safety, conduct or compliance failures occur
  • Sales incentive mechanics address quotas, crediting rules and territory changes
  • Scenario modelling tests affordability, participant outcomes and unintended consequences

Participants can assess benefits portfolios against employee needs, costs and organisational objectives.

  • Benefits inventory categorises statutory, insured, voluntary and employer-funded provisions
  • Employee segmentation identifies life-stage, location and workforce-specific benefit needs
  • Benefits benchmarking compares eligibility, coverage, employer cost and market positioning
  • Plan design balances risk pooling, employee contributions and administrative feasibility
  • Vendor evaluation uses service levels, claims performance and total-cost evidence
  • Benefits eligibility rules tested for consistency, fairness and operational practicality
  • Renewal negotiations prepare cost drivers, alternatives and decision criteria

Participants can integrate non-financial rewards into a measurable employee value proposition.

  • Wellbeing framework addresses physical, mental, financial and social dimensions
  • Recognition programme design defines behaviours, eligibility, awards and approval controls
  • Flexible work provisions assessed as reward elements with measurable workforce effects
  • Learning and career opportunities incorporated into differentiated employee value propositions
  • Employee listening data links reward perceptions with engagement and retention indicators
  • Participation rates separated from outcomes when evaluating wellbeing programmes
  • Communication campaigns tailor reward messages by employee segment and channel

Participants can prepare reliable reward datasets using clear definitions, controls and ethical practices.

  • HR data dictionary defines employee, pay, benefits and performance fields
  • Unique identifiers connect payroll, HRIS, recruitment and benefits records
  • Data-quality dimensions assess completeness, validity, timeliness, consistency and uniqueness
  • Data-cleaning rules resolve missing values, duplicate employees and invalid codes
  • Privacy-by-design principles limit access, retention and unnecessary personal data
  • ISO 30414 human capital metrics assessed for reward reporting relevance
  • Analytical questions translated into measurable variables and documented assumptions

Participants can create reward dashboards that communicate workforce patterns and management actions.

  • Descriptive statistics summarise pay, incentives, benefits and workforce composition
  • Distribution charts reveal pay clustering, outliers and range-position patterns
  • Cohort analysis compares reward outcomes by grade, location and tenure
  • Dashboard design applies hierarchy, comparison points and exception-focused visualisation
  • Leading and lagging indicators distinguish early signals from reported outcomes
  • Metric definitions document numerator, denominator, frequency, owner and decision use
  • Executive scorecards connect reward indicators with financial and workforce measures

Participants can model workforce costs and assess reward-budget scenarios for management decisions.

  • Workforce cost baseline combines salary, incentives, benefits, taxes and allowances
  • Headcount bridge explains cost movement through hires, exits and internal changes
  • Fully loaded labour cost calculates employer expenditure beyond base salary
  • Salary review budgets model merit, promotion, market and retention components
  • Scenario analysis tests workforce plans against affordability and operating assumptions
  • Sensitivity analysis identifies cost exposure from inflation, turnover and benefit changes
  • Forecast assumptions documented for finance review and management challenge

Participants can conduct a structured pay equity analysis and define appropriate investigation actions.

  • Pay equity scope defines protected groups, populations, periods and decision purposes
  • Unadjusted pay gaps compare average and median earnings across relevant groups
  • Like-for-like cohort analysis compares employees with similar jobs and conditions
  • Regression analysis estimates pay differences after relevant explanatory factors
  • Adverse-impact ratio tests selection and reward outcomes across demographic groups
  • Outlier review distinguishes data errors, justified differences and investigation cases
  • Remediation plans prioritise adjustments, policy fixes and governance actions

Participants can evaluate benefits utilisation and identify reward factors associated with retention outcomes.

  • Benefits utilisation rates compare enrolment, claims, uptake and eligibility populations
  • Per-employee cost analysis separates fixed, variable and avoidable benefit expenditure
  • Employee survey items measure benefit awareness, perceived value and satisfaction
  • Retention cohorts track exits after enrolment, life events and reward changes
  • Survival analysis concepts distinguish tenure patterns from simple annual turnover
  • Vendor performance dashboard monitors service access, errors, complaints and resolution
  • Decision matrix ranks benefit actions by employee impact, cost and implementation effort

Participants can evaluate whether reward interventions deliver intended workforce and business results.

  • Logic models connect reward inputs, activities, outputs, outcomes and business effects
  • Kirkpatrick Model adapted to assess reward communication and manager capability
  • Baseline measures establish pre-intervention conditions for credible outcome comparisons
  • Control groups and matched cohorts strengthen claims about programme effects
  • Cost-benefit analysis values savings, avoided turnover and measurable productivity gains
  • Attribution risks documented when multiple workforce initiatives affect the same outcome
  • Evaluation reports separate evidence, interpretation, limitations and recommended actions

Participants can plan a controlled reward change with stakeholder engagement, communications and monitoring.

  • Stakeholder mapping identifies sponsors, decision-makers, affected groups and potential resistance
  • Change impact assessment examines policy, systems, manager capability and employee effects
  • Implementation roadmaps sequence design, approvals, configuration, launch and review activities
  • Communication plans align key messages, channels, audiences and manager toolkits
  • Manager guidance addresses difficult pay conversations, exceptions and escalation procedures
  • Compliance checklist reviews employment contracts, tax treatment and reporting obligations
  • Post-implementation monitoring tracks adoption, errors, questions and unintended outcomes

Participants can build, review and present a complete total rewards proposal supported by workforce analytics, cost scenarios and implementation controls.

  • Total rewards diagnostic synthesises workforce priorities, programme gaps and external evidence
  • Reward architecture aligns job structures, pay positioning, benefits and recognition elements
  • Analytical workbook presents workforce costs, pay equity findings and benefits evidence
  • Recommended interventions prioritise impact, feasibility, risk and financial implications
  • Implementation plan assigns milestones, owners, governance forums and communications actions
  • Executive presentation communicates evidence, trade-offs, decisions required and expected outcomes
  • Peer review tests analytical assumptions, policy coherence and recommendation defensibility

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Total rewards diagnostic template
  2. Reward governance RACI matrix
  3. Salary structure and merit matrix model
  4. Workforce cost scenario workbook
  5. Pay equity analysis checklist
  6. Executive reward proposal deck

Who should attend

  • Compensation and Benefits Managers — need stronger reward design and evidence for investment decisions
  • HR Managers — need to align reward programmes with workforce priorities and budgets
  • People Analytics Specialists — need practical reward metrics, datasets and analytical applications
  • HR Business Partners — need to advise leaders on pay, benefits and retention decisions
  • Talent and Workforce Planning Managers — need to link reward data with staffing scenarios
  • Finance Business Partners — need clearer analysis of labour costs and reward investments

Skills and tools covered

Total rewards designCompensation analyticsPay equity analysisBenefits evaluationWorkforce cost modellingReward governance

Tools and standards

WorldatWork Total Rewards Model, ISO 30414, Kirkpatrick Model, RACI matrix

How the course runs

Training methodology

Instructor-led sessions combine short technical briefings, worked calculations, case work and facilitated group exercises. Participants interpret compensation survey extracts, workforce datasets, benefit utilisation reports and reward policy scenarios. Simulations test salary review trade-offs, pay equity decisions and executive reward presentations. Trainers provide structured templates and feedback as participants apply each method to a developing total rewards proposal. Application planning identifies data sources, stakeholders, approval points and early actions for use after the course.

Requirements and prerequisites

Participants should have at least two years of HR, compensation, benefits, finance or workforce planning experience. They should be comfortable reading spreadsheets, interpreting percentages, comparing costs and discussing HR policies with managers. Familiarity with basic HR metrics, salary review processes or benefits administration is helpful. The course does not require prior people analytics training, advanced statistics, programming, specialised compensation certification or expertise with a particular HR information system. Participants should bring examples of reward questions or workforce cost issues from their own organisation where confidentiality permits.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

Live online deliveries follow the same structure in East Africa Time, with shorter screen blocks and longer breaks.

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

You should have practical exposure to HR, compensation, benefits, finance or workforce planning, plus confidence working with spreadsheet data. Advanced statistics, programming and compensation certification are not required.

Bring a laptop for spreadsheet-based analysis and, where permitted, examples of reward policies, workforce questions or anonymised data challenges. Course materials, datasets and templates are provided.

It is designed for compensation and benefits specialists, HR managers, HR business partners, people analysts and finance partners supporting workforce costs. It also suits professionals moving into reward responsibilities.

The course joins reward design with analytical methods and financial decision-making. It covers salary structures and benefits alongside data quality, dashboards, pay equity, cost modelling and programme evaluation.

Participants create reusable models and templates for reward diagnostics, salary reviews, workforce cost analysis, pay equity reviews and executive reporting. The capstone proposal can be adapted to a current reward issue.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first part builds reward design and compensation foundations, while later sessions focus on analytics, evaluation, implementation and the capstone presentation.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.