Data Team Senior Manager


Key points and objectives of the position:
Enable value-adding data analysis by establishing data infrastructure, tools, skills and culture in FG and conduct advanced analysis and implement automated reporting solutions.

Main task:
1.Data landscape implementation-30% in time
• Implement and maintain the Data Warehouse as the single source of truth for data and continuously work on expanding data scope and integration
• Work together with IT and system owners to automate interfaces to source systems
• Implement, maintain and further develop data frontend (App & Desktop) to provide users with a simple and user-friendly portal for their reporting and analysis needs
• Implement data analysis tools and continuously conduct market research to stay updated on new technological developments
2.Advanced data analysis-25% in time
• Build-up and further develop advanced data analysis processes and methodologies
• Identify and conduct value-adding analysis cases together with the responsible FG function
• Review efforts, results and process and adjust methodology if needed 
3.Data skills & culture-20% in time
• Build up advanced data science skills in own team and facilitate sharing and training with selected employees from other FG functions
• Define basic data skills for FG and implement training program in cooperation with HR
• Continue to organize the Data Community project and continuously implement measures to spread data culture in Daimler China
4.Reporting automation-20% in time
• Support FG functions to automate reporting to reduce manual work by providing standard solutions, templates and guidance on the process
• Establish and maintain a centralized reporting portal to enable self-service reporting
5.Big data, robotics & process automation-5% in time
• Provide guidance to FG functions in regards to Big Data, robotics and process automation projects and if needed act as a bridge to IT to facilitate smooth project implementations.

Master degree or equivalent in Finance, Data Science or related 
CPA or ACCA qualification is preferred
Data Science qualification is preferred

More than 5 years experiences in Finance and Controlling or business intelligence function within automotive industry, or other related working experience in MNCs
Solid experience in data or reporting related fields

Specific knowledge:
Deep understanding of the data analysis process and statistical methods
Good overview of data analysis tools and systems
Understanding of mobile reporting, Apps and mobile infrastructure