Associate Director - HR Analytics
Bengaluru, India · Full-time
- Posted 1w ago
- From PayU’s careers page
- Location
- Bengaluru, India
- Type
- Full-time
- Level
- Senior
- Experience
- 8+ years
- Department
- Data and Analytics
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Opens the listing on careers.payu.in
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About the role
Roles & Responsibilities:
- Collect and analyse HR data from various sources, including HRIS, employee surveys, performance evaluations, and other relevant systems.
- Clean, transform, and validate HR data to ensure accuracy, consistency, and data integrity.
- Use data analysis techniques to identify trends, patterns, correlations, and insights related to HR metrics and key performance indicators (KPIs).
- Develop and maintain HR dashboards, reports, and visualizations to effectively communicate HR data and insights to stakeholders.
- Conduct statistical analyses and predictive modelling to support HR initiatives and identify potential risks or opportunities.
- Collaborate with HR stakeholders to understand data requirements and develop customized reports and analytics to meet their needs.
- Provide HR data-driven insights and recommendations to support strategic decision-making and drive HR initiatives.
- Participate in HR projects and initiatives related to data analytics, including HR system implementations, process improvements, and automation.
- Maintain data privacy and confidentiality standards in handling sensitive HR data.
- Collaborate with IT or external vendors to optimize HR data management systems and ensure data accuracy and accessibility.
- Support HR data requirements for regulatory reporting, audits, and compliance purposes.
What are we looking for:
- 8+ years of work experience as an HR Analyst or similar role
- Master’s in Human Resources, Business Administration or 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.
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About PayU
Digital payment solutions for businessesPayU provides digital payment processing and checkout solutions for businesses, supporting 150+ payment methods.
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