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.

Responsibilities

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

Requirements

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