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Barry Callebaut · Hyderabad, TG, IN

Senior People Analytics Manager

Hyderabad, TG, INManager or leadData & Analytics

Listed on Barry Callebaut’s official careers site. Listed as of October 19, 2026. Check that it is still open and apply there.

Apply on Barry Callebaut’s careers site →

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

  • 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
  • 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
  • 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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