Analyst 4, Data Analytics [Senior HR Data Analyst (8+ years ) SQL , Data visualization ,Analytics ,Tableau/ Power BI]

WD is building the infrastructure behind the AI-driven data economy.

As AI scales, so does data.

Every interaction, every model, every system generates data that must be stored, managed, and made accessible over time.

That’s where we come in.

We combine deep engineering expertise with global-scale manufacturing to deliver the storage systems that make AI possible, powering hyperscale data centers, cloud platforms, and enterprise infrastructure worldwide.

This isn’t theoretical work.

It’s real systems, at real scale, people solving some of the hardest challenges in technology today.

We’re looking for people who want to build, solve, and operate at that level.

Join us and let’s shape the future of data.

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