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ABB in Tuzla, Turkey, invites you to join as a Business Analytics Manager on a hybrid, on-site basis. You will lead the Electrification Business Insights team and partner with ABB Business Areas to deliver analytics, data integration and migration projects across the enterprise.
You will own data strategies, ensure data quality, work with cloud platforms, and drive adoption of AI, ML, and automation to improve operating efficiency and business value. Fluency in English required.
Business Analytics Manager at ABB in Tuzla, T34, TR. This Full time on site position offers great opportunities for career growth.
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: Business Analyst Senior Manager
As a trusted and empowered member of the Electrification Business Insights team you will lead partnerships with ABB Business Areas and Divisions and develop a wide range of analytics, integration and migration solutions using various data engineering, analytics and visualization technologies for data driven insights as well as faster and efficient operations. The location is flexible within Europe, ideally in proximity to an ABB location.
The work model for the role is: hybrid
Take ownership and lead business analytics projects in partnership with ABB Business Areas and Group Functions. Understand and connect the dots between business objectives, systems and data to create meaningful analytics insights that drive value for ABB. Develop processes for effective data migration, validation, analysis and reporting. Establish and implement quality controls and standards to ensure reliable outcomes, alignment with business requirements and compliance with internal control frameworks. Manage the infrastructure in coordination with global IT team to ensure the business analytics applications and servers are fully functional. Adapt the current architecture to fast-changing requirements, to support business analytics projects and align to business objectives. This includes managing relationships with third-party data integration, cloud platform and application providers when needed. Continuously monitor and assess developments and emerging trends in data integration, cloud data platforms, artificial intelligence and automation. Pilot innovative analytics methods to drive new insights discovery and keep up with industry best practices, including opportunities to apply artificial intelligence, machine learning and generative AI to business processes and analytics use cases.
Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences.