01Responsibilities
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 Masters 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. .
