Job Description:
This is a generic job posting intended for Talentbank Career Fair 2026
Areas of Interest: Data Analytics Data Science Artificial Intelligence Automation RPA Developer
The Automation & Analytics function supports digital transformation by leveraging data automation technologies and advanced analytics to enhance business performance. This role focuses on identifying opportunities for automation delivering datadriven insights and improving processes across functions.
Key Responsibilities:
- Identify automation opportunities and support implementation of digital solutions.
- Develop and maintain dashboards reports and data models.
- Support continuous improvement through data analysis process optimization and deployment of automation tools.
- Promote digital literacy and contribute to automation/analytics initiatives.
Requirements:
- Background in analytics computer science data science or related fields.
- Strong analytical problemsolving and data visualization skills.
- Ability to work crossfunctionally and communicate technical concepts clearly.
Additional Locations:
Job Description:This is a generic job posting intended for Talentbank Career Fair 2026Areas of Interest: Data Analytics Data Science Artificial Intelligence Automation RPA DeveloperThe Automation & Analytics function supports digital transformation by leveraging data automation technologies and adva...
Job Description:
This is a generic job posting intended for Talentbank Career Fair 2026
Areas of Interest: Data Analytics Data Science Artificial Intelligence Automation RPA Developer
The Automation & Analytics function supports digital transformation by leveraging data automation technologies and advanced analytics to enhance business performance. This role focuses on identifying opportunities for automation delivering datadriven insights and improving processes across functions.
Key Responsibilities:
- Identify automation opportunities and support implementation of digital solutions.
- Develop and maintain dashboards reports and data models.
- Support continuous improvement through data analysis process optimization and deployment of automation tools.
- Promote digital literacy and contribute to automation/analytics initiatives.
Requirements:
- Background in analytics computer science data science or related fields.
- Strong analytical problemsolving and data visualization skills.
- Ability to work crossfunctionally and communicate technical concepts clearly.
Additional Locations:
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