YOUR JOB

As a Data Consultant, you will be at the forefront of coordinating and implementing strategic data-driven projects across multiple teams. Your role entails successful execution of complex change programs and data products delivery, while acting as a bridge between various stakeholders, facilitating seamless communication and collaboration to optimize processes, by leveraging your expertise in analytics, business analysis and modelling. You will lead selected analytics topics within the scope of your team and act as fractional Product Owner, while closely cooperating with the Lead Product Owner – Data Domain Store and the Head of BI & Analytics CoE in setting and executing the shared vision for the Data Domain.

In your role as a Data Consultant, you will:

• Facilitate the implementation of change projects by establishing processes and planning future migrations
• Serve as a translator for topics intersecting teams in Data Domains, Platform & Technology, Central Data Office etc
• Lead the communication and alignment for creation of data products
• Support data modelers and analysts hands-on by handling selected use cases with a focus on modelling and analytics
• Evaluate existing data systems across different domains and look for improvements
• Engage in complex long term projects, with focus on continuous delivery in small increments
• Be proactive in seeking opportunities to improve with regards to team, processes and data
• Be happy to collaborate with multidisciplinary teams & promote teams working together at all levels
• Stay curious, ask enough questions to deep dive and not hesitate to change/ challenge the status quo

• Facilitate the implementation of change projects by establishing processes and planning future migrations
• Serve as a translator for topics intersecting teams in Data Domains, Platform & Technology, Central Data Office etc
• Lead the communication and alignment for creation of data products
• Support data modelers and analysts hands-on by handling selected use cases with a focus on modelling and analytics
• Evaluate existing data systems across different domains and look for improvements
• Engage in complex long term projects, with focus on continuous delivery in small increments
• Be proactive in seeking opportunities to improve with regards to team, processes and data
• Be happy to collaborate with multidisciplinary teams & promote teams working together at all levels
• Stay curious, ask enough questions to deep dive and not hesitate to change/ challenge the status qu