HR Analyst (People Analytics)

HIGH DemandMEDIUM AI RiskGROWING in SL· Rs.125k+ /mo

People Analytics is for analytical minds who are equally fascinated by data and human behaviour at work. If you want to be the person who transforms raw HRIS data into insights that drive real people decisions — and you can bridge the gap between data engineers and HR leaders — this is one of the highest-growth, highest-value career paths in modern HR.

About This Role

Uses data and statistics to improve HR decision-making, such as predicting turnover or measuring productivity.

A Day in the Life

Analyse HR and workforce data to provide evidence-based insights that help the organisation make better people decisions — covering recruitment analytics, attrition prediction, performance trends, and workforce productivity metrics.

  • Build and maintain HR analytics dashboards (attrition, headcount, performance, diversity)
  • Extract and clean HR data from HRIS, payroll, and performance systems
  • Conduct attrition analysis: identify drivers, predict at-risk employees, model cost impact
  • Analyse recruitment metrics: time-to-hire, source effectiveness, offer acceptance rates
  • Develop performance analytics: identify high-performer characteristics, assess training ROI
  • Prepare monthly HR analytics reports for HR leadership and business unit heads
  • Design and analyse employee engagement surveys
  • Support HR Managers with data for workforce planning and headcount decisions

Work Environment

HYBRIDTeam: SMALLBUSINESS CASUALRemote: HIGH

Analytics or HR function role in a data-forward organisation. In Sri Lanka, People Analytics roles are most established at banks (Commercial Bank, HNB, Dialog), large conglomerates (John Keells), and multinational subsidiaries (Unilever, Nestlé). Most organisations in SL are in early stages of people analytics adoption — early movers in this specialisation gain significant influence.

Typical hours: 43h/week · WLB score 7/10 · OCCASIONAL overtime

Good balance. Report deadline periods and board preparation cycles create short pressure bursts.

Skills Required

Technical Skills

HR data analysis and workforce metricsPower BI or Tableau dashboard developmentSQL for HR data extraction from HRISAttrition modelling and predictive analytics basicsSurvey design and quantitative analysisExcel (advanced: pivot tables, regression)

Soft Skills

Data storytelling for HR and business audiencesTranslating complex analytics into HR actionCuriosity and analytical rigourStakeholder communication for non-technical HR audiencesProblem framing: defining the right HR question before the analysisCollaborative work with IT/data teams

Tools & Software

Power BI / Tableau (HR dashboards)SQL (HRIS data extraction)Microsoft Excel (advanced analytics)HRIS platforms (SAP SuccessFactors, Oracle HCM)Python / R (for advanced predictive analytics — optional)Survey tools (Qualtrics, SurveyMonkey)

Salary in Sri Lanka (LKR / month)

Entry LevelRs.65k – Rs.100k/mo
Mid-LevelRs.110k – Rs.220k/mo
SeniorRs.230k – Rs.450k/mo
Entry: HR Data Analyst / HR Reporting AnalystMid: HR Analyst (People Analytics)Senior: Senior People Analytics Analyst / People Analytics Manager

Typical progression: 3yr to mid · 7yr to senior

Global Salary (USD / year)

Entry Level$55k – $80k/yr
Mid-Level$85k – $125k/yr
Senior$125k – $200k/yr

Top Markets

USAUKAustraliaSingaporeCanada

Market Outlook

GROWING

Strong growth as SL organisations realise that making HR decisions without data is no longer acceptable in a competitive talent market. Banks, telcos, and large FMCG companies are investing in people analytics capability — creating demand for analysts who bridge HR knowledge and data skills.

Hiring: MEDIUM

Commercial Bank of CeylonDialog AxiataHatton National BankJohn Keells HoldingsUnilever Sri LankaNestlé LankaHemas HoldingsSriLankan Airlines

GROWING

People analytics is one of the fastest-growing HR specialisations globally. Demand for professionals who combine HR expertise with data analytics skills is consistently outpacing supply.

Entry Requirements

Sri Lanka

Min. EducationBachelor's in HRM, Statistics, Mathematics, Computer Science, or related analytical field
Experience1–3 years in HR or data analysis; strong portfolio of HR analytics projects is highly valued

Preferred

Power BI certificationGoogle Data AnalyticsCIPM FoundationSQL course completion

Global

Min. EducationBachelor's in Business Analytics, HRM, Statistics, or IT
Experience2–4 years in HR or data analytics roles

Preferred

Power BI / Tableau certificationCIPD Level 5 People AnalyticsGoogle Data AnalyticsPython certification

Helpful Certifications

Power BI Data Analyst (Microsoft)Google Data Analytics Professional CertificateCIPD Level 5 (People Analytics module)CIPM Sri Lanka Professional QualificationPython for Data Science (Coursera/DataCamp)

Entrepreneurship & Freelancing

Freelance: MEDIUMRemote: HIGHCapital: NONE

Freelance earnings: $20–$70/mo (USD)

Platforms (SL)

UpworkLinkedIn

Business Ideas

  • People analytics consulting for SL banks and telcos
  • HR dashboard and reporting solution for SMEs
  • Attrition and retention analytics advisory

Side Income Ideas

Freelance HR dashboard development for overseas companiesData analytics training for HR teamsHR analytics report writing and benchmarking

Growing market as SL organisations seek to build people analytics capability without full-time headcount. Freelance and consulting opportunities are increasing.

Risks & Challenges

AI / Automation Risk

MEDIUM

MID TERM

Burnout Risk

LOW

Job Security (SL)

HIGH

Basic HR reporting and dashboards are increasingly automated by HRIS platforms. However, advanced people analytics — predictive modelling, causal analysis, and connecting people data to business outcomes — requires human analytical judgement and domain expertise that AI tools cannot replicate independently.

Burnout Causes

Frustration when data-driven HR recommendations are ignored by gut-feel decision makersData quality issues and messy HRIS data create time-consuming cleanup work

Physical Health Risks

Sedentary analytical desk work

Mental Health Risks

Frustration at slow adoption of data-driven HR in traditional organisations

How to Mitigate

  • Develop Python or R skills for predictive analytics to access the highest-value tier of people analytics work
  • Build a portfolio of real people analytics case studies demonstrating measurable business impact
  • Stay current on SL data privacy law (PDPA 2022) as HR data compliance becomes more regulated

Is This Career For You?

Mathematics, Statistics, or IT graduates with genuine interest in HR and organisational behaviour. Also well-suited to HR professionals who have built data analytics skills through self-study. The rarest and most valuable combination: deep HR domain knowledge plus genuine analytical competence.

Personality Types

INTPINTJISTJ

Core Motivations

Making HR decisions evidence-based and measurableTurning workforce data into business intelligenceCombining analytical rigour with human insightBuilding the data infrastructure that enables strategic HR

What You'll Love

  • One of the fastest-growing and highest-value HR specialisations
  • Combines data analytics with domain expertise in a uniquely scarce profile
  • Strong remote work potential for international clients

What's Challenging

  • Requires investment in both HR knowledge and analytical skills — dual learning curve
  • HRIS data quality in SL organisations is often poor, requiring significant data cleanup
  • Culture change toward data-driven HR is slow in many SL organisations

At a Glance

SL Salary (entry)Rs.65k – Rs.100k/mo
SL Salary (senior)Rs.230k – Rs.450k/mo
Global (senior)$125k – $200k/yr
SL DemandGROWING
WLB Score7/10
Hours/week~43h
Remote WorkHIGH

AI Replacement Risk

MEDIUM

MID TERM

Sectors

Private

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