招聘
Required Skills
Python
R
Statistical Modelling
Machine Learning
Data Analysis
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:
- Manager
- Advanced Analytics and AI
What we believe in
ABB Services provides shared services to the business delivering operational and expert services in Finance, Human Resources, and Information Systems. With employees based in five main hubs and front offices, we support ABB teams across the globe.
Your role and responsibilities
In this position, you will be able to work with essential stakeholders to create, execute, and support the onboarding of digital solutions and the integration of digital platforms into the customer business setting, along with their ongoing operations and upkeep.
The work model for the role is: #LI Onsite, #LI Hybrid
This role is contributing to the ABB Business in Bangalore.
You will be mainly accountable for:
- Oversee the entire process of delivering analytics solutions—starting from problem identification and data analysis to model creation and insight presentation—while ensuring alignment with business goals.
- Collaborate with senior leaders and subject matter experts to understand strategic objectives, translate them into actionable analytics questions, and identify opportunities for data-driven impact.
- Guide teams in applying advanced analytical techniques such as statistical modelling, machine learning, and optimization to generate insights and deliver high-value recommendations.
- Effectively convey intricate results through data storytelling and visual representation; oversee analytics demand and long-term strategy while guiding less experienced team members and promoting a culture of collaborative learning.
Qualifications for the role:
- MBA or Bachelor's/master’s degree in a quantitative discipline, such as mathematics, statistics, engineering, computer science, economics or finance.
- 3+ years of relevant experience in business analysis, data science, or consulting in a manufacturing/engineering or related industry.
- Familiarity in programming languages, such as Python, R, and knowledge in data platforms and tools, such as AWS, Azure, Tableau, Power BI, or Qlik.
- Proficient understanding of a variety of analytical methods, including regression, classification, clustering, time series analysis, optimization, simulation, and generative AI, as well as the capability to implement these techniques in practical scenarios.
- Effective communication and noted leadership attributes.
- Extensive understanding of various functional domains, including finance, operations, sales, account management, and supply chain is beneficial.
More about us
As a reliable business partner, ABB Finance is supported by a skilled team that provides strategic insights designed to encourage sustainable long-term results, operating with an unwavering commitment to the highest standards
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.
Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process.
We never ask for money from job applicants.
For current open positions you can visit our career website https://global.abb/group/en/careers and apply.
Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.
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About ABB

ABB
PublicABB is a multinational technology corporation that provides electrification, robotics, automation, and motion solutions for industrial and infrastructure applications.
10,001+
Employees
Zurich
Headquarters
Reviews
3.5
3 reviews
Work Life Balance
3.0
Compensation
2.0
Culture
2.5
Career
3.5
Management
2.0
35%
Recommend to a Friend
Pros
Award ceremonies and achievement recognition
Professional experience opportunities
Relevant marketing and writing experience
Cons
Awards only recognize sales and leadership teams
Auxiliary departments excluded and understaffed
No cost of living raises provided
Salary Ranges
405 data points
Mid/L4
Senior/L5
Mid/L4 · Project Manager
102 reports
$117,433
total / year
Base
$109,179
Stock
-
Bonus
$8,254
$79,130
$175,443
Interview Experience
5 interviews
Difficulty
3.8
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Interview
4
System Design/Panel Interview
5
Onsite/Final Round
6
Offer Decision
Common Questions
Technical Knowledge
System Design
Behavioral/STAR
Past Experience
Problem Solving