A propos de Talan
For 20 years, Talan has advised major companies and administrations, supported them, and implemented their transformation and innovation projects. The Group places innovation at the heart of its development and operates in areas related to technological changes, such as Big Data, IoT, Blockchain and Artificial Intelligence.
Present on 5 continents, 13 countries, Talan plans to achieve a turnover of 600 million euros in 2023 for more than 4500 consultants and aims to exceed the one billion € turnover mark by 2025.
Talan has been operating for 20 years, advising major companies in Finance, Insurance, Telecommunications, Services, Distribution, Public Sector. Our consultants are agile and pragmatic. We combine together consulting services, technological expertise and a capacity to deliver and deploy projects.
We do everything possible to ensure that our employees can thrive and grow at Talan. As a result, we have received the "Great Place to Work" certification, which recognizes compagnies where it feels good to work.
Present in Geneva and Lausanne, Talan Switzerland now has nearly 150 employees. Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media and services sectors.
Our company is seeking a talented data modeler to assist with the design and implementation of company databases. As a data modeler, you will be working closely with data architects and data analysts to implement data modeling solutions in order to streamline and support enterprise information management.
To ensure success as a data modeler, you should have in-depth knowledge of data warehousing, as well as expert communication skills. Ultimately, a top-notch data modeler should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management.
Data Modeler Responsibilities:
- Analyzing and translating business needs into long-term solution data models.
- Evaluating existing data systems.
- Working with the development team to create conceptual data models and data flows.
- Reviewing modifications of existing systems for cross-compatibility.
- Implementing data strategies and developing physical data models.
- Updating and optimizing local and metadata models.
- Evaluating implemented data systems for variances, discrepancies, and efficiency.
- Bachelor's degree in computer science, information technology, or a similar field.
- 3 years of hands-on experience with physical and relational data modeling.
- Expert knowledge of metadata management and related tools.
- Strong interpersonal skills.
- Excellent communication and presentation skills.
- Experience in Banking data modeling is a plus