HR Analyst
AI in this role
HR Analyst leveraging predictive analytics, machine learning, and AI to transform workforce data into strategic insights at ABB.
At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.
This Position reports to:
Team Lead - Data Analytics and BIThe 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.
Recruitment Fraud Warning
ABB never asks for payment from job applicants. All genuine job offers follow a formal application and interview process.
View current job openings and apply at: https://careers.abb/global/en/home
For more information, read our full fraud warning notice at: https://global.abb/group/en/careers/how-to-apply/fraud-warning
How we rate this
HR Analyst at ABB rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where hr analytics was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analytics, Hr Analytics, Predictive Modeling, Machine Learning, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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