招聘
Benefits & Perks
•Learning
Required Skills
SQL
Snowflake
Power BI
Python
Machine Learning
Excel
PowerPoint
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:
Data Analytics & BI Manager:
Your role and responsibilities (Mandatory)
In this role, you will have the opportunity to develop end-to-end business intelligence framework for online products and SAAS solutions based on requirements that include recommending an appropriate architecture (on-premises/cloud), analytics, and reporting. Each day, you will evaluate business data to produce meaningful insights and metrics and to identify trends that could improve business performance. You will also showcase your expertise by designing new dashboards using best practices and intuitive visualization.
The work model for the role is: # LI Hybrid
This role is contributing to the AUMA Business in Bangalore Location.
You will be mainly accountable for:
-
Deliver market and financial insights to enhanced visibility into market trends by analysing data from different data sources/tools. Deliver end to end analytical solutions and provide market and financial insights using SQL, Snowflake, Power BI, Power Platforms, and Python and ML capabilities.
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Translate sales, technical, and financial data into strategic recommendations to sales/product management across channels, segments, geographic areas, customers, products, systems, and services.
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Identify gaps and opportunities in existing tools and solutions. Enhance analytics platforms through ETL processes and advanced data interpretation. Drive adoption of analytics tools among stakeholders.
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Reduce manual reporting efforts by automating solutions. Enhance transparency and visibility for Sales, Product Management, and Finance. Optimize delivery speed with Power Platforms and automation.
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Qualifications for the role (Mandatory)- Education – B.E/ B. Tech in any branch(CGPA>7.5) or Any agree .
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Work Experience – 4 years’ experience in Data Analytics
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Technical Skills –
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SQL Database, Snowflake Data Warehouse
-
Power BI, Power Platforms
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Python, Machine Learning
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Excel, PowerPoint.
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
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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