Senior People Analytics Manager

Barry Callebaut Group

Hyderabad

On-site

INR 3,600,000 - 7,200,000

Full time

3 days ago
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Job summary

Barry Callebaut Group seeks a Senior People Analytics Manager to drive the HR Data Lake from data sourcing to governance and analytics adoption. You will lead end-to-end implementation and global rollout, enabling evidence-based workforce decisions across HR and Finance.

You will own external workforce reporting, ensure data accuracy, and partner across IT, Finance and Procurement to deliver decision-ready insights and standardized dashboards.

Qualifications

  • Master’s degree in human resources, business analytics, data science, finance, or a related field.
  • 10+ years of experience in people analytics, HR systems, data & analytics, or workforce reporting in a global organization.
  • Experience implementing or contributing to enterprise data platforms (Data Lake, data hubs, analytics platforms).
  • Strong knowledge of HR data structures, processes and data governance concepts.

Responsibilities

  • Own end-to-end design, implementation and anchoring of the HR Data Lake, sourcing data from SuccessFactors and other systems.
  • Own global external workforce reporting, ensuring consistency, transparency and governance.
  • Partner with HR, Finance, Procurement and IT to translate requirements into scalable data and reporting solutions.
  • Lead rollout, adoption, standards and documentation for sustainable usage.

Skills

People analytics
HR data models
Data governance
Power BI
Stakeholder management
Change management
Global HR
Data & analytics
Excel
Data architecture

Education

Master’s degree in HR/Analytics or related field

Tools

SuccessFactors
Power BI
Excel

Job description

Job Description:

JOB DESCRIPTION

The Senior People Analytics Manager is a senior strategic individual contributor role at the core of Barry Callebaut’s HR digital agenda. The role is responsible for the end-to-end implementation, rollout, and organizational anchoring of the HR Data Lake, sourcing data from SuccessFactors and other HR systems to create a scalable, governed, and future-proof people data foundation.

In parallel, the role holds global accountability for contingent workforce reporting, ensuring transparency, consistency, and decision-ready insights across external labour populations, in close partnership with HR, Finance, Procurement, IT, and the business.

This role operates with a global enterprise scope, works closely with senior HR and Finance leaders, and plays a critical role in enabling evidence-based workforce decisions, regulatory compliance, and advanced people analytics.

MAIN RESPONSIBILITIES & SCOPE
1. HR Data Lake – Design, implementation & anchoring
  • Own the end-to-end implementation of the HR Data Lake, including:
    • Data sourcing from SuccessFactors and other HR-related systems
    • Definition of data models, entities, and core people metrics
    • Alignment with enterprise data architecture and IT standards
  • Act as the global business owner for the HR Data Lake and workforce reporting domain/platform:
    • Translate HR, Finance and business requirements into governed, trusted and scalable data and reporting solutions
    • Define priorities, milestones, and success criteria in collaboration with IT and external partners
  • Lead the rollout and organizational anchoring of the solution:
    • Ensure adoption across Global HR, HRBPs, and COEs
    • Define standards, best practices, and documentation for sustainable usage
  • Own the long-term governance, evolution and business enablement of the HR Data Lake platform, ensuring scalable, consistent and enterprise-grade workforce data and reporting capabilities beyond the initial implementation phase
  • Enforce data governance, data quality, and consistency standards for people data:
    • Define ownership, validation rules, and escalation mechanisms
    • Ensure a “single source of truth” for core people metrics
  • Enable downstream analytics and reporting:
    • Implement Power BI and future analytics use cases
    • Lay the foundation for advanced analytics and workforce planning capabilities
2. External workforce reporting (global accountability)
  • Own global reporting for the external workforce, including:
    • External workforce populations (e.g. contingent workers, outsource labour)
    • Alignment of definitions, metrics, and reporting logic across regions
  • Design and maintain standardized global dashboards and datasets for contingent labour:
    • In close collaboration with HR, Finance, Procurement, and IT
  • Ensure data accuracy, transparency, and comparability, supporting:
    • Workforce cost visibility
    • Risk management and compliance
  • Act as the single point of accountability for contingent workforce reporting topics toward senior stakeholders
    • Provide enterprise-wide visibility and governance across contingent workforce populations, enabling workforce cost transparency, workforce planning, compliance, and risk management
3. Stakeholder partnership & change enablement
  • Partner closely with:
    • Global HR leadership and HRBPs
    • Finance and FP&A
    • IT and Data & Analytics teams
    • Transformation and digital initiatives
  • Translate complex data topics into clear, decision-ready insights for senior leaders.
  • Act as a change agent, supporting HR’s transition toward a more data-driven and digitally enabled operating model.
Scope:
  • Enterprise-wide / global scope
  • Covers all regions, functions, and business units
  • Interfaces with multiple HR systems and enterprise data platforms
  • High visibility and impact across HR and Finance leadership
EDUCATION, LANGUAGE, SKILLS & QUALIFICATIONS
  • Master’s degree in human resources, business analytics, data science, finance, or a related field
  • Fluent in English – verbal and written
ESSENTIAL EXPERIENCE & KNOWLEDGE / TECHNICAL OR FUNCTIONAL COMPETENCIES
  • 10+ years of experience in people analytics, HR systems, data & analytics, or workforce reporting in a global organization
  • Proven experience in:
    • Implementing or significantly contributing to enterprise data platforms (e.g. Data Lake, data hubs, analytics platforms)
    • Working with SuccessFactors and HR data models
  • Strong understanding of:
    • HR data structures, processes, and end-to-end data flows
    • Data governance, data quality, and master data management concepts
  • Advanced experience with:
    • Power BI and analytical reporting tools
    • Excel and data modelling
  • Demonstrated ability to:
    • Lead complex initiatives without direct people management
    • Manage multiple stakeholders with competing priorities
    • Move from strategy to hands-on execution
LEADERSHIP COMPETENCIES & PERSONAL STYLE
  • Acts as a trusted senior partner to HR and Finance leadership
  • Strong ownership mindset with end‑to‑end accountability
  • Structured, rigorous, and comfortable working with complexity
  • Pragmatic change agent: combines strategic thinking with hands‑on delivery
  • Communicates clearly and credibly with both technical and non-technical audiences
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