ABB is seeking a talented Data Analytics & BI Specialist to join its Bengaluru office. You’ll develop and manage data models, create insightful dashboards, and collaborate across teams to transform raw data into strategic business decisions. Ideal candidates should be proficient in SQL, Python/R, and BI tools like Power BI, Tableau, or Spotfire.
Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
ABB is Hiring: Data Analytics & BI Specialist – Bengaluru – Overview
| Company Name: | ABB |
| Job Role: | Data Analytics & BI Specialist |
| Location: | Bengaluru |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description:
- 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.
- You will be mainly accountable for:
- Design and build intuitive dashboards using best practices, identifying the right metrics and layout to enhance visualization.
- Analyze data using statistical techniques to generate actionable insights and provide ongoing reports.
- Lead innovation by adopting emerging architectural and design paradigms while ensuring performance, scalability, and long-term stability.
- Identify areas for improvement in reporting, troubleshoot issues, and deliver user-friendly analytics solutions by incorporating feedback from stakeholders.
- Demonstrate strong customer focus and service excellence by understanding customer needs and business value.
- Collaborate with business and technology teams to guide solution development and implementation effectively.
Skills:
- Minimum of 5 years of experience in Engineering, Operations, or Finance.
- Proven expertise in Power BI, Power Apps, and Power Automate.
- Familiarity with SQL queries, R, and Python (considered an added advantage).
- Strong background in process improvement and optimization.
- Proficiency in data analysis and interpretation.
- Bachelor’s degree in Engineering or a related field.
