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HR Analytics Senior Manager

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Onsite

HR Analytics Senior Manager

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HR Analytics Senior Manager

Skills

SQL QueriesTableauPythonProduct ManagementData AnalysisAITalent AcquisitionManagement ConsultingPower BI

11 days ago

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Important information


Contract type:

Permanent

Salary:

₹4,000,000 – ₹5,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


Senior Manager and Head - People Analytics

The company seeks to transform People Analytics from a reporting function into a strategic

workforce intelligence capability. This role will own the design and evolution of people data

ecosystem, analytics strategy, AI-enabled decision, and workforce insights agenda.

The role will partner closely with CHRO, HR Leadership Team, HR Tech, CIO, Finance,

Talent Acquisition, Learning, and Business Leaders to create a unified people intelligence

platform that enables faster, smarter workforce decisions.

Key Responsibilities

1. Build the Future State People Analytics Function

  • Define the vision, operating model, and roadmap for People Analytics.
  • Shift the team from reporting and metrics production toward insight generation
  • Establish a hypothesis-driven analytics approach aligned to business outcomes.
  • Identify workforce intelligence use cases that directly impact growth, productivity,

retention, deployment, and profitability.

2. Create a Unified People Data Foundation

  • Design and drive the integration of multiple HR and business data sources into a

scalable analytics architecture.

  • Partner with HR Tech, IT to develop a single source of truth for workforce data.
  • Eliminate manual data collation through automation/ modern data platforms.
  • Define common business definitions, metrics, and governance standards.

3. Lead AI and Advanced Analytics Adoption

  • Leverage AI, LLMs, modern analytics technologies to improve workforce insights.
  • Identify opportunities to automate analysis, reporting, and executive reporting.
  • Develop use cases such as: Predictive attrition, Skill supply-demand forecasting,

Deployment intelligence, Leadership effectiveness analytics, Learning ROI analytics

  • Drive experimentation with new AI-enabled workforce planning capabilities.

4. Deliver Strategic Business Insights

Move beyond answering: "What happened?" to To answering: "Why did it happen?" And:

"What should we do next?" Examples: Drivers of regretted attrition, Critical skill shortages,

Talent acquisition funnel optimization

5. Act as an Internal Workforce Consulting Partner

  • Challenge assumptions through data and insight.
  • Frame business problems into analytical questions.
  • Present findings and recommendations to senior leadership.
  • Influence decisions through compelling storytelling and executive communication.

6. Build Capability Within the Team

  • Coach analysts to think beyond reporting.
  • Establish analytical problem-solving frameworks.
  • Introduce modern tools including AI-powered analytics.
  • Develop a culture of curiosity, experimentation, and business impact.

Ideal Candidate Profile

Must Have

  • 10-15+ years experience in Analytics, Workforce Analytics, Business Analytics,

Strategy, Consulting, Data Products or a related field.

  • Strong understanding of analytics-driven business decision making.
  • Demonstrated ability to influence senior business leaders.
  • Strong problem solving and structured thinking skills.

Preferred: Experience in one or more of People Analytics, Workforce Planning,

Management Consulting, Data Strategy, Analytics Product Management, Enterprise Data &

AI Transformation

Technical Expectations: Understanding of: SQL/Python, Power BI / Tableau, AI / LLM

applications, Workforce Analytics methodologies

Important: This is not expected to be a hands-on coding role, but the individual must be

capable of architecting solutions and engaging effectively with technical teams.

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