Western Digital: Senior HR Data Analyst 8+ years Experience (Tableau & Analytics) — Bengaluru, KA, India

About Western Digital

Western Digital develops and manufactures data-storage technology for data centres, cloud platforms and enterprise infrastructure. Its employer introduction connects this work with the need to retain, manage and access information generated by digital systems and AI applications. The business brings engineering and manufacturing together around the physical systems behind data storage. Its described purpose is to make growing volumes of information available over time, supporting the infrastructure on which other digital services depend.

The position and its setting

Western Digital lists Senior HR Data Analyst 8+ years Experience (Tableau & Analytics) in Bengaluru, KA, India, under reference REF33069Y. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 16 October 2026
• Brands: Western Digital
• Business Function: Data Analytics
• Work Location: Bangalore Hallmark Office (IBS)

Responsibilities and work described

• 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
• 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
• Research / execution: in-depth statistical analysis of HR data to identify trends, patterns, and insights related to recruitment, retention, compensation, performance, and employee engagement
• Development: and implement HR data models and analytical frameworks to support workforce planning, succession planning, and talent management initiatives
• Collaboration: with HR business partners to define data requirements, translate business questions into analytical solutions, and deliver actionable insights
• Quality / delivery: 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
• Analysis: 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

Essential requirements and candidate background

• 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
• Expertise in Microsoft Excel, including advanced functions, pivot tables, and data modeling
• Demonstrated experience with HR information systems (HRIS) and HR analytics platforms
• Understanding: statistical analysis, data modeling, and quantitative research methodologies
• Exposure: 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
• Communication and presentation skills with the ability to translate complex data into actionable business insights
• Organizational and project management skills with the ability to manage multiple priorities simultaneously
• Proficiency: data governance, data security, and compliance standards

Preferred experience and additional strengths

• 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

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Bengaluru, KA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior HR Data Analyst 8+ years Experience (Tableau & Analytics) vacancy is not an offer for reference REF33069Y; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Western Digital

Applications follow the official employer page linked below. The source includes these application-specific points:

Open the official Western Digital posting below and match the title and reference REF33069Y.

Compare your qualifications and experience with the essential conditions for the Bengaluru, KA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

• Accommodation requests: [email protected]
• Employer states that applications and employment offers do not require payment

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• R
• SQL
• APIs
• AI/ML
• Excel
• data analysis
• process improvement
• audit
• compliance
• recruitment
• human resources
• Power BI