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- Zürich, Switzerland
Company
About
As Chapter Lead Data at the hiring company, you can expect an exciting challenge in a dynamic environment. The energy sector is evolving rapidly, and you have the opportunity to be part of that change. With the growing adoption of smart meters and the emergence of innovative energy solutions, data is becoming more abundant and increasingly vital. Their mission is to leverage data-driven insights to deliver sustainable value to customers while maintaining an efficient and effective organization. In this newly created role, you will shape their data-related activities transversally, i.e., across all departments.
Perks & Benefits
- Home Office
- Flexible hours
Vacancy
Who you are
- High customer orientation and service understanding in order to strengthen the organization's ability to change as a team player
- Agile mindset and versatile methodological skills
- Sound knowledge in the technical field (including data lake, data warehouse, DB, BI, cloud, SAP, CRM)
- Extensive experience in developing data strategies, building data solutions, data management and analysis, and data science
- Goal-oriented and communicative personality with an analytical way of thinking and acting
- Ability to communicate complex information clearly and understandably
- Natural leadership to act transversally within an organization
Your tasks
- Development and implementation of a coordinated data strategy and governance that fits the organization
- Management of and participation in central “data” projects (e.g., setting up a data lake on MS Azure)
- Close cross-departmental collaboration to develop and implement data-based applications and solutions
- Ensuring high process and data quality
- Analysis and interpretation of complex data sets for decision-making (Data Driven Company) and efficiency improvements
- Promoting the introduction of new technologies and methods in the field of data analytics and artificial intelligence
- Living our values: People at the center, releasing energy, simply doing, trying and learning
Nice-to-have skills
- Data Science
- Data Warehousing
- Data Management
- Data Integration
Work experience
- CTO / Head of Technology
Languages
- English
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