Mastering HR Analytics: A Comprehensive Guide for HR Professionals

Overview

Workforce data sits in HRIS exports, payroll files, engagement surveys and applicant tracking systems, yet most HR teams still report headcount rather than explain it. This HR Analytics course teaches HR analysts and generalists how to run a real people analytics project: frame a business question, build a hypothesis, clean and join HR datasets in Excel, run descriptive statistics, correlation and regression, and present the answer to line managers. The five days follow one worked case, voluntary attrition in a customer service population, from the first question to an evaluated intervention.

Target Audience

• HR Analysts and HRIS Specialists
• HR Generalists who produce monthly workforce reports
• Compensation, Talent Acquisition and Learning Analysts
• People Analytics team members
• Business Intelligence staff supporting HR

Targeted Organizational Departments

• Human Resources Information Systems
• People Analytics and Workforce Planning
• Reward and Compensation
• Business Intelligence

Targeted Industries

• Contact Centres and Shared Services
• Banking and Insurance
• Retail and Hospitality
• Hospitals and Health Systems

Course Offerings

Participants will be able to:

• Turn a vague management complaint into a testable people analytics question.
• Calculate turnover, retention, time-to-fill, absence rate and cost-per-hire consistently.
• Clean, code and merge HRIS, payroll and survey extracts using Excel pivot tables and lookups.
• Run t-tests, correlations and simple regression and interpret p-values without overclaiming.
• Build a one-page attrition dashboard and a findings memo for line managers.
• Measure whether an HR intervention worked using before-and-after and control group comparisons.

Training Methodology

Participants work in pairs on laptops with an anonymised practice dataset of employee records, exit reasons and survey scores. Short statistical explanations are followed immediately by Excel exercises, and each day produces one piece of the final attrition study.

Course Toolbox

• Anonymised practice HR dataset (employee, payroll and survey tables)
• HR metric definitions sheet with formulas
• Hypothesis and data request template
• Excel statistics cheat sheet
• Dashboard and findings memo templates

Course Agenda

Day 1: Framing People Analytics Questions

• Topic 1: From management complaint to analytics question: the attrition case
• Topic 2: The analytics maturity ladder: reporting, analysis, prediction
• Topic 3: Roles in an analytics project: sponsor, analyst, data owner, privacy officer
• Reflection & Review: Agreeing the study question and success measure

Day 2: Hypotheses, Metrics and Data Preparation

• Topic 1: Writing testable hypotheses about tenure, pay, manager and shift pattern
• Topic 2: Standard HR metric formulas and common calculation errors
• Topic 3: Cleaning HRIS extracts, coding exit reasons and joining tables in Excel
• Reflection & Review: A clean, documented analysis file

Day 3: Statistical Analysis of Workforce Data

• Topic 1: Descriptive statistics and segmenting leavers versus stayers
• Topic 2: Correlation, t-tests and chi-square on HR variables
• Topic 3: Simple and multiple regression to estimate drivers of attrition
• Reflection & Review: Which hypotheses held, and which did not

Day 4: Communicating Findings and Designing Interventions

• Topic 1: Data storytelling for line managers: one chart, one message
• Topic 2: Building an attrition dashboard in Excel
• Topic 3: Choosing an intervention and defining how it will be evaluated
• Reflection & Review: Drafting the findings memo

Day 5: Evaluating Impact and Presenting the Study

• Topic 1: Before-and-after, control groups and avoiding false conclusions
• Topic 2: Data privacy, ethics and consent in employee analytics
• Topic 3: Team presentations of the complete attrition study
• Reflection & Review: Planning a first analytics project back at work

How This Course Is Different

This is a numbers course for HR, not a general HR strategy course. Participants spend most of the week inside a spreadsheet with real-shaped HR data, running statistics and building a dashboard, and they leave with a complete worked analytics study they can repeat on their own organisation's data.