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.

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

Additional Information

WD thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

WD is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [HIDDEN TEXT] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that WD and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to WD Ethics Helpline or email [HIDDEN TEXT].

Analyst 4, Data Analytics /Senior HR Data Analyst (Tableau & Analytics)