Certified HR Analytics Professional

How It Works

  1. 1. Select Certification & Register
  2. 2. Receive Online e-Learning Access (LMS)
  3. 3. Take exam online anywhere, anytime
  4. 4. Get certified & Increase Employability

Test Details

  • Duration: 60 minutes
  • No. of questions: 50
  • Maximum marks: 50, Passing marks: 25 (50%).
  • There is NO negative marking in this module.
  • Online exam.

Benefits of Certification


$49.00 /-
Download Brochure

In today's data-driven workplace, organisations are no longer relying on intuition alone to manage their people. HR analytics has emerged as one of the fastest-growing domains in human resources, helping companies make informed decisions on hiring, retention, performance, and workforce planning through data rather than guesswork. As businesses increasingly adopt AI-driven tools and predictive models, HR professionals who can work with data are becoming indispensable to strategic decision-making.

Vskills Certified HR Analytics Professional is a govt. certification that equips you with the skills to analyse HR data and translate it into actionable business insights. The programme covers core HR analytics concepts including workforce metrics, employee engagement analysis, attrition and retention modelling, compensation analytics, and HR dashboards using tools such as Excel and Power BI.

Whether you are an HR generalist looking to specialise, a manager aiming to make data-backed people decisions, or a graduate building a career in people analytics, this certification provides a credible, govt.-recognised credential to differentiate your profile in a competitive job market.

Why Choose Vskills HR Analytics Certification?

Vskills is India's largest govt. certification body, offering certifications that are recognised by top recruiters and listed on candidates' profiles for life. Here is why the Vskills HR Analytics certification stands out:

  • Govt. Recognised Credential — Earn a govt. certification that adds credibility that private certifications cannot match.
  • Lifetime Validity — Unlike many industry certifications that expire in two to three years, your Vskills certificate is valid for life.
  • Recruiter Visibility — Certified candidates are tagged and made visible to thousands of recruiters actively hiring for HR analytics and people analytics roles.
  • Free Practice Tests — Access practice tests to assess your readiness before the exam.
  • Exam Retake Option — A retake option ensures you can clear the exam with confidence.
  • Study Material Included — Comprehensive study material covering all exam topics is provided with enrollment.

Who Should Enroll?

The Vskills HR Analytics Certification is designed for:

  • HR Generalists looking to specialise and transition into data-driven HR roles
  • HR Business Partners (HRBPs) who want to support strategic decisions with workforce data
  • Talent Acquisition Professionals seeking to apply analytics to hiring and recruitment funnels
  • Compensation & Benefits Analysts building expertise in pay benchmarking and rewards data
  • HR Managers aiming to lead data-informed workforce planning and retention strategies
  • Graduates and Freshers building a career in people analytics or HR technology
  • Working Professionals seeking certification for career progression and salary advancement

What You Will Learn

The Vskills HR Analytics Certification curriculum is designed to build practical, job-ready skills in workforce data analysis and people analytics. The course takes you from foundational HR metrics through to advanced predictive modelling, covering everything from employee engagement and attrition analysis to compensation benchmarking and dashboard reporting using tools such as Excel and Power BI.

By the end of the programme, you will have a thorough understanding of how to translate HR data into strategic business insights and the confidence to apply those skills on the job.

Complete Table of Contents

Module 1. Analytics Introduction

  • Evolution of HR Analytics & People Analytics: From Reporting to Predictive
  • Data Management and Types
  • Descriptive, Diagnostic, Predictive & Prescriptive Analytics Framework
  • Problem Solving and Decision Making
  • HR Analytics Maturity Model (Levels 1–4: Operational Reporting → Predictive)
  • Business Case for HR Analytics: ROI and Stakeholder Buy-in
  • HRIS & HR Tech Ecosystem Overview (SAP SuccessFactors, Workday, Darwinbox)

Module 2. Using Spreadsheets for Analytics

  • Excel Formulas
  • Excel Functions
  • Excel Add-Ins for Analytics: Power Query, Analysis ToolPak, Solver
  • What is Spreadsheet Modeling
  • Key HR Functions in Excel: VLOOKUP/XLOOKUP, COUNTIFS, AVERAGEIFS, IFERROR
  • Introduction to Power BI / Tableau for HR Dashboards
  • Introduction to Python / R for HR Analytics (optional/advanced track)

Module 3. Visualizing Data in Spreadsheets

  • Excel Data Visualization Tools
  • Data Queries in Excel
  • Data Summarization in Excel
  • PivotTables and Pivot Charts
  • HR-Specific Chart Types: Headcount Waterfall, Attrition Funnel, Tenure Histogram
  • Data Storytelling: Designing Insights for HR Leadership & Board Presentations

Module 4. Descriptive Statistical Measures

  • Measures of Location (Mean, Median, Mode)
  • Measures of Dispersion (Variance, Std Dev, Range)
  • Skewness/Kurtosis overly theoretical for target audience; remove or make supplementary
  • Measures of Association (Correlation)
  • Frequency Distributions
  • Excel Descriptive Statistics Tools
  • Applying Descriptive Stats to HR Data: Salary Bands, Age/Tenure Distribution

Module 5. Probability Distributions

  • Probability Basics
  • Discrete Probability Distributions (e.g., modelling offer acceptance rates, headcount scenarios)
  • Continuous Probability Distributions (e.g., time-to-fill, performance score distributions
  • Distribution Fitting

Module 6. Sampling and Estimation

  • Sampling Methods
  • Sampling Distributions
  • Estimation & Confidence Intervals
  • Employee Survey Sampling: Sample Size Calculation for Engagement Surveys

Module 7. Statistical Inference

  • Hypothesis Testing
  • One-Sample Hypothesis Tests
  • Two-Sample Hypothesis Tests
  • ANOVA
  • Chi-Square Tests for HR: Testing Pay Equity, Promotion Parity by Gender/Grade
  • A/B Testing in HR: Pilot Programs, Recruitment Campaign Testing

Module 8. Regression Analysis

  • Simple Linear Regression
  • Residual Analysis and Regression Assumptions
  • Multiple Linear Regression
  • Regression with Categorical Independent Variables
  • Nonlinear & Logistic Regression
  • Regression for HR: Predicting Salary, Performance Scores, Time-to-Fill
  • Multicollinearity, Overfitting & Model Validation in HR Contexts

Module 9. HR Management

  • Functions of Human Resource Management
  • Strategic HRM: Aligning People Strategy with Business Goals
  • Strategic Planning and Human Resource Practices
  • HR Operating Models: HR Business Partner, Centre of Excellence, Shared Services

Module 10. HR Analytics

  • HR Analytics Basics
  • Talent Life Cycle
  • HR Metrics (Time-to-Fill, Cost-per-Hire, Turnover Rate, Absenteeism Rate, Revenue-per-Employee, eNPS, Offer Acceptance Rate)
  • HR Data Collection (HRIS data, survey tools (Qualtrics, Culture Amp), ATS data, payroll data, LMS data
  • HR Data Analysis (a) Workforce Segmentation Analysis and (b) Trend & Cohort Analysis
  • Data Quality in HR: Missing Data, Inconsistent Records, Master Data Governance
  • Workforce Planning Analytics: Headcount Forecasting, Supply-Demand Modelling

Module 11. Recruitment and Talent Management Analytics

  • Recruitment and Talent Acquisition
  • Workforce Capability
  • Job Analysis and Design
  • Compensation Management
  • Performance Appraisal, Planning and Execution
  • Rewards and Recognition
  • Attrition & Churn Analysis: Voluntary vs Involuntary, Regrettable vs Non-Regrettable
  • Talent Development
  • Career Progression
  • Employee Retention
  • Employee Engagement
  • Recruitment Funnel Analytics: Source of Hire, Conversion Rates, Pipeline Health
  • Predictive Attrition Modelling: Flight Risk Scoring
  • Compensation Benchmarking & Pay Equity Analysis
  • 9-Box Grid & Succession Planning Analytics

Module 12. Learning, Training and Development Analytics

  • L&D Landscape: Instructor-Led, e-Learning, Blended & On-the-Job Learning
  • Introduction to Learning and Development
  • Models of Evaluation (Kirkpatrick Model (all 4 levels), Phillips ROI Model, Net Promoter Score for Training)
  • LMS Data Analytics: Completion Rates, Assessment Scores, Learning Hours per Employee
  • Linking L&D Investment to Business Outcomes (Skills Gap → Performance → Revenue)
  • Skills Analytics & Competency Mapping

Module 13. Advanced HR Analytics

  • KPI and HR KPI Dashboards
  • Talent Analytics Maturity
  • HR Cost Benefit Analysis
  • Social Media & Talent Intelligence (LinkedIn Data, Employer Brand Analytics, Glassdoor Insights)
  • HR Balanced Scorecard
  • Attrition Prediction
  • Machine Learning in HR: Classification Models (Random Forest, Logistic) for Attrition
  • Natural Language Processing (NLP) for HR: Sentiment Analysis of Exit Interviews & Surveys
  • Organisational Network Analysis (ONA): Collaboration Patterns & Influence Mapping
  • AI-Powered HR Tools: Chatbots, Resume Screening, Predictive Scheduling

Module 14. DEI Analytics

  • Diversity, Equity & Inclusion (DEI) Metrics: Representation, Pay Gap, Promotion Parity
  • Measuring Inclusion: Belonging Index, Psychological Safety Scores
  • Bias Detection in Hiring & Performance Data
  • Reporting DEI Progress: Dashboard Design & Stakeholder Communication

Module 15. HR Data Ethics, Privacy & Compliance

  • Data Privacy in HR: GDPR, India's DPDP Act 2023, Employee Consent
  • Ethical Use of People Analytics: Surveillance vs Insight
  • Algorithmic Bias in HR AI Tools: Detection & Mitigation
  • HR Audit & Compliance Analytics: Labour Law Reporting, Statutory Compliance Tracking

Exam and Certification Details

DetailInformation
Exam FormatOnline — attempt from anywhere, anytime
Number of Questions50 multiple-choice questions
Duration60 minutes
Passing Score25 out of 50 (50%) — no negative marking
Certificate ValidityLifetime — no renewal required
e-Learning AccessLifetime access to LMS and future content updates
ResultInstant — available immediately after exam completion
LanguageEnglish

Course Outcome

HR analytics is one of the fastest-growing specialisations in human resources, with organisations across IT, BFSI, retail, and manufacturing increasingly relying on data to guide hiring, retention, and workforce planning decisions. Professionals with HR analytics skills are well positioned for strong career growth, with salaries rising significantly as expertise deepens from entry-level data analysis to strategic workforce leadership.

Job Role Industry Avg. Salary (India) Experience Level
HR Data Analyst IT, BFSI, Retail ₹4 – ₹7 LPA Fresher – 2 years
HR Analyst IT, Consulting, FMCG ₹6 – ₹10 LPA 1 – 3 years
People Analytics Specialist IT, BFSI, MNC ₹8 – ₹14 LPA 2 – 5 years
Compensation & Benefits Analyst IT, BFSI, Pharmaceuticals ₹8 – ₹15 LPA 3 – 6 years
HR Business Partner (Analytics Focus) IT, Retail, Manufacturing ₹10 – ₹18 LPA 5 – 8 years
HR Analytics Manager IT, BFSI, Large Enterprises ₹16 – ₹26 LPA 7 – 10 years
Director of Workforce Analytics Large Enterprises, MNC ₹35 – ₹60 LPA 12+ years

HR Analytics Sample Questions

https://www.vskills.in/certification/hr-analytics-sample-questions

HR Analytics Interview Questions

https://www.vskills.in/interview-questions/project-management-interview-questions/hr-analytics-interview-questions

HR Analytics Practice Tests

https://www.vskills.in/practice/hr-analytics-questions

HR Analytics Tutorials

https://www.vskills.in/certification/tutorial/certified-hr-analytics-professional/

Companies that hire HR Analytics Professional

HR Analytics Professionals are in great demand, Companies specializing HR consultancy, audit, analytics and compliance, are constantly hiring skilled Vskills Certified HR Analytics Professional. Various public and private companies also need HR Analytics Professional for their requirement for HR analysis.


HR Expert Interview Series

How to Become a Talent Acquisition Specialist Learn with Navin Patel (TA Head - Affine) | Vskills Secret to Corporate Training Success | Transforming L&D | Adarsh Tandon - Head Business Training Shaping the Future of HR: Learn Digital Transformation - Dakshdeep Singh | Senior VP  @peoplestrong  Top 5 Skills to Succeed in Learning and Development: Learn to lead with Mr. Ravichandra Annigeri

Secrets to Success: Building Future Leaders with Dr. Ajit Kumar Kar Future of Hiring: Expert Insights on Talent Acquisition - Learn Trends & Pro Tips with Aditya Singh How to Succeed as an HR Business Partner | Strategies for Success | Insights from Krupa Yati @ NEPA How to build a  Career in Training & Development | Sumesh Khatua | KPMG -Director Talent Development

What are the qualities employers look for while hiring | Learn with Mr. Raana Govind NayakDifference between the role of a HRBP and HR specialist? | Learn with Ms Kalpana Munusamy What is the role of HR Business Partner in HR? | Learn with HRBP Expert | Dr. Manish Chandel Interview with Talent Management Expert - Ms. Debalina Roy

HR Analytics Related Blogs

HR Analytics Jobs

Checkout the various job openings in the field of HR Analytics, click here..

Vskills Certified HR Analytics Professional – Frequently Asked Questions

Get answers about eligibility, exam pattern, career scope, validity, jobs and enrolment for Vskills Certified HR Analytics Professional Certification.

The Vskills Certified HR Analytics Professional is a govt. certification that validates your skills in applying data analysis to HR functions. It covers core concepts including workforce metrics, employee engagement analysis, attrition modelling, compensation analytics, and HR dashboards, equipping you for data-driven roles in human resources.
This certification is suitable for HR generalists, HR business partners, talent acquisition professionals, compensation and benefits analysts, HR managers, and graduates looking to build a career in people analytics. It is also well suited for working professionals seeking certification for career progression.
There are no mandatory prerequisites for enrolling in this certification. However, a basic understanding of HR processes and familiarity with spreadsheet tools such as Excel will help you grasp the course content more effectively.
No prior knowledge of Power BI, Python, or other analytics tools is required. The course introduces you to relevant tools and dashboard concepts as part of the curriculum, making it accessible to candidates without a technical background.
The exam covers workforce metrics and KPIs, employee engagement and satisfaction analysis, attrition and retention modelling, compensation and benefits analytics, recruitment and talent acquisition analytics, HR dashboards and reporting, and the use of data in strategic HR decision-making.
The Vskills HR Analytics certification exam is conducted online. Candidates can appear for the exam from the comfort of their home or office. The exam consists of multiple-choice questions and must be completed within the allotted time. Study material is provided upon enrollment to help candidates prepare.
Yes. Unlike many private certifications that require renewal every two to three years, the Vskills certification is valid for life. Once you earn it, your credential remains active permanently, adding long-term value to your professional profile.
Earning the Vskills HR Analytics certification demonstrates to employers that you have verified, govt.-recognised expertise in workforce data analysis. It strengthens your resume, improves your visibility to recruiters, and helps you qualify for roles such as HR Analyst, People Analytics Specialist, Compensation Analyst, and HR Business Partner — roles that offer strong salary growth as expertise deepens.
Yes. Vskills certified candidates are tagged on job portals and made visible to thousands of recruiters who actively hire for HR analytics and people analytics roles across India's top companies.
Yes. Vskills offers an exam retake option, allowing candidates who do not clear the exam on their first attempt to appear again. This ensures that you have a fair opportunity to earn the certification with adequate preparation.
Yes. Vskills provides free practice tests that help you assess your preparation level before the actual exam. These tests are aligned with the exam syllabus and give you a clear idea of the question pattern and areas that need further study.
Yes. Upon enrollment, Vskills provides comprehensive study material covering all exam topics. The material is designed to help candidates build a strong foundation in HR analytics concepts and prepare effectively for the certification exam, whether you are starting from scratch or looking to formalise existing knowledge.
Traditional HR roles often focus on operational tasks such as recruitment, onboarding, and employee relations. HR Analytics adds a data-driven layer to these functions, using metrics and predictive models to forecast attrition, measure engagement, optimise compensation structures, and support strategic workforce planning. It is increasingly seen as a specialisation that bridges HR and business strategy.
Absolutely. This certification is particularly valuable for working HR professionals who want to transition into or formalise their expertise in the analytics domain. The curriculum is designed to build practical skills that can be applied directly in your current role, supporting both career growth and salary advancement.
Candidates have up to 1 year from the date of registration to appear for the exam. There is no need to schedule the exam in advance — simply log in to your Vskills account and click on "Take Exam" whenever you are ready. It is advisable to go through the study material and online mock papers thoroughly before attempting the exam.

 
TABLE OF CONTENT

Chapter 1. Analytics Introduction

  • Evolution of HR Analytics & People Analytics: From Reporting to Predictive
  • Data Management and Types
  • Descriptive, Diagnostic, Predictive & Prescriptive Analytics Framework
  • Problem Solving and Decision Making
  • HR Analytics Maturity Model (Levels 1–4: Operational Reporting → Predictive)
  • Business Case for HR Analytics: ROI and Stakeholder Buy-in
  • HRIS & HR Tech Ecosystem Overview (SAP SuccessFactors, Workday, Darwinbox)

Chapter 2. Using Spreadsheets for Analytics

  • Excel Formulas
  • Excel Functions
  • Excel Add-Ins for Analytics: Power Query, Analysis ToolPak, Solver
  • What is Spreadsheet Modeling
  • Key HR Functions in Excel: VLOOKUP/XLOOKUP, COUNTIFS, AVERAGEIFS, IFERROR
  • Introduction to Power BI / Tableau for HR Dashboards
  • Introduction to Python / R for HR Analytics (optional/advanced track)

Chapter 3. Visualizing Data in Spreadsheets

  • Excel Data Visualization Tools
  • Data Queries in Excel
  • Data Summarization in Excel
  • PivotTables and Pivot Charts
  • HR-Specific Chart Types: Headcount Waterfall, Attrition Funnel, Tenure Histogram
  • Data Storytelling: Designing Insights for HR Leadership & Board Presentations

Chapter 4. Descriptive Statistical Measures

  • Measures of Location (Mean, Median, Mode)
  • Measures of Dispersion (Variance, Std Dev, Range)
  • Skewness/Kurtosis overly theoretical for target audience; remove or make supplementary
  • Measures of Association (Correlation)
  • Frequency Distributions
  • Excel Descriptive Statistics Tools
  • Applying Descriptive Stats to HR Data: Salary Bands, Age/Tenure Distribution

Chapter 5. Probability Distributions

  • Probability Basics
  • Discrete Probability Distributions (e.g., modelling offer acceptance rates, headcount scenarios)
  • Continuous Probability Distributions (e.g., time-to-fill, performance score distributions
  • Distribution Fitting

Chapter 6. Sampling and Estimation

  • Sampling Methods
  • Sampling Distributions
  • Estimation & Confidence Intervals
  • Employee Survey Sampling: Sample Size Calculation for Engagement Surveys

Chapter 7. Statistical Inference

  • Hypothesis Testing
  • One-Sample Hypothesis Tests
  • Two-Sample Hypothesis Tests
  • ANOVA
  • Chi-Square Tests for HR: Testing Pay Equity, Promotion Parity by Gender/Grade
  • A/B Testing in HR: Pilot Programs, Recruitment Campaign Testing

Chapter 8. Regression Analysis

  • Simple Linear Regression
  • Residual Analysis and Regression Assumptions
  • Multiple Linear Regression
  • Regression with Categorical Independent Variables
  • Nonlinear & Logistic Regression
  • Regression for HR: Predicting Salary, Performance Scores, Time-to-Fill
  • Multicollinearity, Overfitting & Model Validation in HR Contexts

Chapter 9. HR Management

  • Functions of Human Resource Management
  • Strategic HRM: Aligning People Strategy with Business Goals
  • Strategic Planning and Human Resource Practices
  • HR Operating Models: HR Business Partner, Centre of Excellence, Shared Services

Chapter 10. HR Analytics

  • HR Analytics Basics
  • Talent Life Cycle
  • HR Metrics (Time-to-Fill, Cost-per-Hire, Turnover Rate, Absenteeism Rate, Revenue-per-Employee, eNPS, Offer Acceptance Rate)
  • HR Data Collection (HRIS data, survey tools (Qualtrics, Culture Amp), ATS data, payroll data, LMS data
  • HR Data Analysis (a) Workforce Segmentation Analysis and (b) Trend & Cohort Analysis
  • Data Quality in HR: Missing Data, Inconsistent Records, Master Data Governance
  • Workforce Planning Analytics: Headcount Forecasting, Supply-Demand Modelling

Chapter 11. Recruitment and Talent Management Analytics

  • Recruitment and Talent Acquisition
  • Workforce Capability
  • Job Analysis and Design
  • Compensation Management
  • Performance Appraisal, Planning and Execution
  • Rewards and Recognition
  • Attrition & Churn Analysis: Voluntary vs Involuntary, Regrettable vs Non-Regrettable
  • Talent Development
  • Career Progression
  • Employee Retention
  • Employee Engagement
  • Recruitment Funnel Analytics: Source of Hire, Conversion Rates, Pipeline Health
  • Predictive Attrition Modelling: Flight Risk Scoring
  • Compensation Benchmarking & Pay Equity Analysis
  • 9-Box Grid & Succession Planning Analytics

Chapter 12. Learning, Training and Development Analytics

  • L&D Landscape: Instructor-Led, e-Learning, Blended & On-the-Job Learning
  • Introduction to Learning and Development
  • Models of Evaluation (Kirkpatrick Model (all 4 levels), Phillips ROI Model, Net Promoter Score for Training)
  • LMS Data Analytics: Completion Rates, Assessment Scores, Learning Hours per Employee
  • Linking L&D Investment to Business Outcomes (Skills Gap → Performance → Revenue)
  • Skills Analytics & Competency Mapping

Chapter 13. Advanced HR Analytics

  • KPI and HR KPI Dashboards
  • Talent Analytics Maturity
  • HR Cost Benefit Analysis
  • Social Media & Talent Intelligence (LinkedIn Data, Employer Brand Analytics, Glassdoor Insights)
  • HR Balanced Scorecard
  • Attrition Prediction
  • Machine Learning in HR: Classification Models (Random Forest, Logistic) for Attrition
  • Natural Language Processing (NLP) for HR: Sentiment Analysis of Exit Interviews & Surveys
  • Organisational Network Analysis (ONA): Collaboration Patterns & Influence Mapping
  • AI-Powered HR Tools: Chatbots, Resume Screening, Predictive Scheduling

Chapter 14. DEI Analytics (New Section)

  • Diversity, Equity & Inclusion (DEI) Metrics: Representation, Pay Gap, Promotion Parity
  • Measuring Inclusion: Belonging Index, Psychological Safety Scores
  • Bias Detection in Hiring & Performance Data
  • Reporting DEI Progress: Dashboard Design & Stakeholder Communication

Chapter 15. HR Data Ethics, Privacy & Compliance (New Section)

  • Data Privacy in HR: GDPR, India's DPDP Act 2023, Employee Consent
  • Ethical Use of People Analytics: Surveillance vs Insight
  • Algorithmic Bias in HR AI Tools: Detection & Mitigation
  • HR Audit & Compliance Analytics: Labour Law Reporting, Statutory Compliance Tracking

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