IS Data Analyst Engineer

Your role and responsibilities

In this role, you will have the opportunity to own software solution architecture across multiple architecture categories and ensure its alignment with enterprise and data architecture standards. Each day, you will be responsible for the design and build, integrity, and quality of an Information Systems (IS) solution and associated IS services delivered to business. You will also showcase your expertise by consulting, advising, and supporting on the installation of new IS solutions/services, or changing existing IS solutions/services.

The work model for the role is: #Li-hybrid

This role is contributing to the ELDS/ELSE divisions.

You will be mainly accountable for:

• Designinig data architecture and data models, building and maintaining data transformation pipelines to ensure data quality
• Leading end-to-end data modeling and analytical schema design to support scalable BI solutions.
• Developing and maintaining robust SQL and ETL pipelines across Azure and Snowflake environments.
• Owning Power BI semantic modeling, performance optimization, and governance (security, access, refresh).
• Supporting and maintaining Power Platform solutions, ensuring stability and minimal escalation.
• Translating business requirements into scalable, reusable, and well-documented analytics solutions.
• Performing systematic troubleshooting and root cause analysis across data and reporting layers.
• Supporting business on InfoSec roadmap/assessments for onboarding new/existing solutions
• Supporting business on enabling power platform & azure platform level communication (with business support)

Qualifications for the role

• Master’s degree in Computer Science, Data Analytics, or a related field

• Strong experience with SQL, Python, and dbt, specializing in building scalable ELT pipelines and analytics-ready data models
• Proficiency in Microsoft Power Platform technologies, including Power BI
• Proficiency in working with cloud data warehouses such as Snowflake and BigQuery, integrating data from multiple sources
• Experience optimizing data transformations and improving data quality to support reliable business intelligence reporting
• Hands-on experience with Microsoft Azure services, including Azure Data Factory and Azure Data Lake, for building scalable data pipelines and managing large datasets
• Experience managing global IT applications and familiarity with IT Service Management (ITIL) practices
• Ability to take end-to-end ownership of deliverables, demonstrating independence, discipline, and the ability to work under time pressure
• Fluent in English (written and spoken)
• Knowledge of MyServices tool and Azure DevOps is considered a plus

​More about us

ABB’s Electrification (EL) Business Area is a leading provider of a full range of protection, control and measurement solutions - enabling safer and smarter electricity flow from substation to the point of consumption. We deliver products and systems designed to connect, protect and control electrical systems, ensuring reliability, efficiency and safety for equipment and personnel.

If you are looking for big, global challenges, Information Systems (IS) is the place to be. ABB's portfolio includes some of the most advanced power and productivity products and systems in the world. If you have the energy, discipline and intellectual firepower to succeed, you will find almost limitless opportunities to stretch your thinking, expand your horizons and build your skills as you work with people all over the world.