Head/Senior Manager/Associate Director - HR Data & Analytics

Role Overview: As the Head of HR Data & Analytics at PayU, you will be responsible for developing and implementing a comprehensive HR analytics strategy to translate raw HR data into actionable insights. You will lead a team of 2/3 HR data analysts and collaborate with HR business partners, HR COEs, and other enabling functions to establish metrics, reporting frameworks, and predictive models that support strategic workforce planning, talent management, employee engagement, and organizational effectiveness. Key Responsibilities: - Develop and execute the HR Data and Analytics roadmap with clear milestones, success metrics, and alignment to business planning cycles. - Partner with HRBPs, COEs, IT, Admin, and Finance to identify business problems/questions that can be addressed through people analytics. - Lead the organization's HR analytics innovation agenda, evaluating emerging technologies and methodologies. - Develop and communicate a compelling vision for data-driven HR to inspire organizational buy-in and adoption. - Evaluate, select, and implement advanced HR Analytics platforms and BI solutions to transform workforce data into actionable insights. - Develop and manage the HR analytics budget, prioritizing investments that deliver maximum ROI. Qualifications Required: - 8 years of work experience as an HR Analyst or similar role. - Master's in Human Resources, Business Administration, or a relevant field. - Proven experience as an HR Data Analyst or similar role, with expertise in HR data analysis. - In-depth knowledge of HR processes, metrics, and KPIs. - Strong analytical and problem-solving skills, with the ability to extract insights from complex HR data sets. - Proficiency in using data analysis tools and programming languages, such as Excel, R, Python, SQL, or other statistical software. - Experience with data visualization tools, such as Tableau, Power BI, or similar platforms, to create compelling dashboards and reports. - Familiarity with HRIS systems and their data structures, including data extraction and manipulation. - HR certifications or additional training in data analysis or statistics is a plus. - Experience in the HR domain or working closely with HR stakeholders is preferred. Role Overview: As the Head of HR Data & Analytics at PayU, you will be responsible for developing and implementing a comprehensive HR analytics strategy to translate raw HR data into actionable insights. You will lead a team of 2/3 HR data analysts and collaborate with HR business partners, HR COEs, and other enabling functions to establish metrics, reporting frameworks, and predictive models that support strategic workforce planning, talent management, employee engagement, and organizational effectiveness. Key Responsibilities: - Develop and execute the HR Data and Analytics roadmap with clear milestones, success metrics, and alignment to business planning cycles. - Partner with HRBPs, COEs, IT, Admin, and Finance to identify business problems/questions that can be addressed through people analytics. - Lead the organization's HR analytics innovation agenda, evaluating emerging technologies and methodologies. - Develop and communicate a compelling vision for data-driven HR to inspire organizational buy-in and adoption. - Evaluate, select, and implement advanced HR Analytics platforms and BI solutions to transform workforce data into actionable insights. - Develop and manage the HR analytics budget, prioritizing investments that deliver maximum ROI. Qualifications Required: - 8 years of work experience as an HR Analyst or similar role. - Master's in Human Resources, Business Administration, or a relevant field. - Proven experience as an HR Data Analyst or similar role, with expertise in HR data analysis. - In-depth knowledge of HR processes, metrics, and KPIs. - Strong analytical and problem-solving skills, with the ability to extract insights from complex HR data sets. - Proficiency in using data analysis tools and programming languages, such as Excel, R, Python, SQL, or other statistical software. - Experience with data visualization tools, such as Tableau, Power BI, or similar platforms, to create compelling dashboards and reports. - Familiarity with HRIS systems and their data structures, including data extraction and manipulation. - HR certifications or additional training in data analysis or statistics is a plus. - Experience in the HR domain or working closely with HR stakeholders is preferred.