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This Position reports to:

The HR Analyst plays a critical role in enabling data-driven decision-making across the organization. This role is responsible for transforming complex HR and workforce data into actionable insights that support strategic HR initiatives, talent management, and organizational effectiveness. The ideal candidate combines strong analytical capabilities with business acumen and excellent communication skills to partner with global HR and business stakeholders.

The work model for the role is # LI - Hybrid.

This role is contributing to the to the Quality Division for INOPC based in Bangalore, India You will be mainly accountable for:

You will be mainly accountable for:

• Partner with HR and business stakeholders to gather, understand, and translate workforce and business requirements into actionable analytics solutions.
• Perform advanced workforce data analysis to identify trends, patterns, correlations, and key insights that support business decision-making.
• Apply data mining and statistical techniques to uncover hidden patterns, validate hypotheses, and measure the impact of HR initiatives.
• Develop and maintain predictive analytics models to forecast workforce metrics including attrition, retention, hiring demand, absenteeism, diversity, succession, and workforce planning.
• Leverage Artificial Intelligence (AI) and Machine Learning (ML) technologies to automate insight generation, identify key drivers, and provide proactive recommendations.
• Deliver executive-level dashboards, reports, and ad hoc analyses to support strategic planning and workforce management decisions.
• Collaborate with global HR and business leaders to translate analytical findings into compelling business narratives through effective data storytelling, presentations, and actionable recommendations.

You will join a talented team, where you will be able to thrive.

Qualifications for the role:

• 3–6 years of experience in HR analytics, people analytics, or a similar data-focused role.
• Proficiency in data analysis tools such as Python, R, SQL, or similar.
• Experience with HR information systems (HRIS) such as Workday, or similar HR systems
• Strong knowledge of statistical methods, predictive modeling, and machine learning techniques.
• Hands-on experience with data visualization tools such as Power BI, Tableau, or similar.
• Bachelor’s or master’s degree in human resources, Data Science, Statistics, Business Analytics, or a related field.
• Demonstrated ability to work with large and complex datasets.
• Strong communication and stakeholder management skills.

More about us

ABB a provides a comprehensive range of integrated automation, electrical and digital systems and services for customers in the process, hybrid and maritime industries. These offerings, coupled with deep domain knowledge in each end market, help to optimize productivity, energy efficiency, sustainability and safety of industrial processes and operations.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.

Ready to make an impact? Apply today or visit www.abb.com to learn more about the impact of our solutions across the globe.

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