Senior HR Data Analyst 8+ years Experience (Tableau & Analytics)

Job description

We're looking for a Senior HR Data Analyst to join our Human Resources team in Bengaluru, India. In this role, you will leverage data-driven insights to support strategic HR decision-making and drive organizational effectiveness. You will work closely with HR leadership and cross-functional teams to analyze workforce trends, optimize HR processes, and provide actionable recommendations that enhance our talent management and organizational performance.

• Design, develop, and maintain comprehensive HR dashboards and reports using advanced data visualization tools to track key HR metrics and workforce analytics
• Conduct in-depth statistical analysis of HR data to identify trends, patterns, and insights related to recruitment, retention, compensation, performance, and employee engagement
• Develop and implement HR data models and analytical frameworks to support workforce planning, succession planning, and talent management initiatives
• Collaborate with HR business partners to define data requirements, translate business questions into analytical solutions, and deliver actionable insights
• Ensure data accuracy, integrity, and compliance by establishing data governance protocols and conducting regular data quality audits
• Create and present executive-level reports and presentations that communicate complex data findings in a clear and compelling manner
• Analyze recruitment metrics, hiring funnel performance, and time-to-fill data to optimize talent acquisition processes
• Support compensation and benefits analysis, including salary benchmarking, equity analysis, and benefits utilization studies
• Identify opportunities for process improvement and automation within HR operations using data-driven recommendations
• Stay current with HR analytics best practices, emerging tools, and industry trends to continuously enhance analytical capabilities

Qualifications

• 8+ years of professional experience in HR analytics , data analysis, or related analytical roles Advanced proficiency in SQL for querying, manipulating, and analyzing large datasets Expert-level skills in data visualization tools such as Tableau, Power BI, or similar platforms
• Strong expertise in Microsoft Excel, including advanced functions, pivot tables, and data modeling
• Demonstrated experience with HR information systems (HRIS) and HR analytics platforms
• Solid understanding of statistical analysis, data modeling, and quantitative research methodologies Exposure to AI / ML and Data Science – e.g., hands-on experience in building and deploying AI/ML models (APIs, basic MLOps) and applying data science techniques (data cleaning, EDA, predictive modeling, dashboards) to solve business problem In-depth knowledge of HR processes, metrics, and key performance indicators (KPIs) across recruitment, retention, compensation, and employee development
• Excellent communication and presentation skills with the ability to translate complex data into actionable business insights
• Strong organizational and project management skills with the ability to manage multiple priorities simultaneously
• Proficiency in data governance, data security, and compliance standards Preferred: Experience with Python, R, or other programming languages for advanced data analysis Preferred: Familiarity with cloud-based analytics platforms and tools Preferred: Knowledge of predictive analytics and machine learning applications in HR Preferred: Experience with enterprise HR systems such as Workday, SuccessFactors, or similar platforms Preferred: Domain expertise in talent management, workforce planning, compensation analysis, or organizational development