ABB

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This Position reports to:

HR Operations Team Lead

Your role and responsibilities:

People Analytics organization is a Global function that works with various ABB business divisions and countries delivering operational and expert services to ABB’s HR community. We aim to unlock the potential of data to help ABB business leaders and managers take better decisions which will enable us to build a more sustainable and resource-efficient future in electrification and automation. In this role, you will have the opportunity to partner with senior stakeholders to help them conceptualize KPIs in areas of Talent Performance Culture and build statistical and analytics solutions from scratch, and have a bias towards creating clean, effective, user-focused visualizations to deliver actionable insights and analysis using technologies that would vary based on purpose from Python, Snowflake, Power BI, Advanced Excel, VBA, or any other new technology.

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

This role is contributing to the People Analytics function supporting various business function based out in Bangalore.

You will be mainly accountable for:

• Capably interacting and managing global ABB leadership to seek and provide meaningful and actionable insights in all interactions
• Responsible for on time delivery of actionable insights by requirement gathering, data extraction to reporting/ presenting the findings in IC role or with the team as per project needs
• You are to be constantly on the looking out for ways to enhance value for your respective stakeholders/clients
• Developing frameworks, plug n play solutions using diagnostic, predictive and machine learning techniques on Snowflake/ Python
• Executing strategic projects to help ABB improve excellence in people, performance, and culture

Qualifications for the role:

• Bachelor’s/master’s degree in applied Statistics/Mathematics, Engineering, Operations Research or related field.
• At least 3 - 5 years of experience in consulting, shared services or software development with proficient data analysis techniques using technologies like Excel, VBA Scripting, Python, Snowflake, Understanding of SAP/ Workday

HCM/ Snowflake system is preferred.

• Candidate should have a motivated mindset with advanced quantitative skills, with an ability to work on large datasets. The candidate should be able to generate actionable insights from data analysis that translate to valuable business decisions for the client.
• Capable EDA practitioner with extensive knowledge in advanced Excel functionalities
• Experience in designing and maintaining dashboards/ reports providing diagnostic and forecasting view using VBA, PowerBI, Qlik, Tableau
• Collaborative worker with excellent collaboration skills required to work in a global virtual work environment: team-oriented, self-motivated and able to lead small to mid-size projects

What's in it for you:

We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger.

More about us:

ABB Robotics & Discrete Automation Business area provides robotics, and machine and factory automation including products, software, solutions and services. Revenues are generated both from direct sales to end users as well as from indirect sales mainly through system integrators and machine builders. www.abb.com/robotics

#ABBCareers #RunwithABB #Runwhatrunstheworld

We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. #RunWhatRunsTheWorld

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