People Analytics and Data Manager Job Title : People Analytics and Data Manager Reporting Line: Reports to: HR Operational Excellence & Digitalisation Vice President Role Summary This senior global leadership role owns end-to-end People Analytics, HR data governance and the global BI platform, partnering cross-functionally to establish standards and deliver data-driven strategic insights to the executive team. It spearheads AI innovation to scale analytical capabilities, drive HR transformation and empower the global HR community. Key Responsibilities People Analytics: Oversee full governance lifecycle of global People & Culture KPIs , upholding rigorous data quality standards to serve as a trusted source for executive/board-level decision-making. Lead strategic workforce analytics and insight delivery – Steer global trend, organizational and talent-related analysis; deliver high-impact data-driven insights to underpin corporate strategy, HR transformation and the new operating model rollout. Steward global CSR/ESG HR metrics and disclosure readiness – Maintain unified definitions and governance protocols for CSR-related HR metrics, ensuring robust external ESG disclosures, audit readiness and continuous process maturity improvement. HR Data Management: Drive global HR data governance and quality excellence – Steer SuccessFactors core data governance and continuous quality improvement; oversee monitoring routines and dashboards, align with enterprise standards and cascade consistent protocols to local teams. Lead cross-functional alignment and analytics infrastructure maturity – Collaborate with key stakeholders to unify global data standards, streamline reporting workflows and lift enterprise-wide analytical maturity; oversee the full lifecycle of the Tableau-based global HR BI platform to enable scalable self-service analytics. Ensure HR data privacy and regulatory compliance – Oversee access controls and GDPR-aligned data security protocols across all HR analytics initiatives. Development: Lead and develop the people analytics team ; nurture team members’ data literacy, analytical skills and business insight, and build sustainable high-performance delivery capability. Champion AI and AIGC adoption within HR analytics; drive report automation, accelerate data interpretation and deliver innovative analytical and visualization solutions at global level. Job Requirements Expert in global HR data architecture & governance Enterprise BI strategy & Tableau experience Strong advanced/predictive analytics capabilities Forward-thinking, innovative, with AI-enabled HR analytics experience Proficient in SuccessFactors or similar HRS systems Familiar with global HR processes & ESG HR agendas Excellent cross-functional & executive stakeholder skills, with strategic thinking Demonstrated people leadership & team development experience Fluent business English, strong communication/influencing skills Agile, proactive & adaptable with prioritization skills Experience Level Mid Level
ఇతర details
It is a Full Time రిక్రూటర్ / హెచ్ఆర్ / అడ్మిన్ job for candidates with 2 - 6+ years Experience.
People Analytics and Data Manager job గురించి మరింత
ఈ People Analytics and Data Manager position కు ఎలాంటి అర్హత మరియు అనుభవం అవసరం?
Ans : అభ్యర్థులు అన్ని విద్యాస్థాయిలు అర్హత, 2-7 సంవత్సరాల అనుభవం కలిగి ఉండాలి।
ఈ role లో జీతం మరియు job type ఏమిటి?
Ans : Salary details will be shared during the hiring process.
ఈ job లో ఏ shiftఉన్నాయి?
Ans : ఈ job లో Day shift ఉంది.
ఈ job కోసం ఆఫీస్ కు వెళ్లాలా?
Ans : అవును, అభ్యర్థులు Sector 62 Noida, Noida లోని ఆఫీస్ కు వెళ్లి పని చేయాలి.
ఈ People Analytics and Data Manager job లో ఎన్ని vacancies ఉన్నాయి?
Ans : ఈ position కి 1 opening ఉంది.
ఈ job అన్ని genders కు అందుబాటులో ఉందా?
Ans : అవును, ఈ job పురుషులు మరియు మహిళలు ఇద్దరికీ అందుబాటులో ఉంది.
ఈ position యొక్క job location ఏమిటి?
Ans : ఈ position యొక్క job location Sector 62 Noida, Noida.
ఈ People Analytics and Data Manager job ను మంచి అవకాశంగా ఏమి చేస్తుంది?
Ans : The employer has not disclosed the salary for this role, but it is a Full Time opportunity with 1 opening.