Data and Analytics Engineer

Hays Switzerland
Visa Sponsorship Relocation
This Job is No Longer Active This position is no longer accepting applications

Job Description

For our client based in Basel, CH, we are looking for Data and Analytics Engineer


Its a 3 year contract role with relocation package.


Responsibilities-


• directly contribute to our mission as a part of collaborative team who are solving a range of complex software and data challenges, including IT product and data management, advanced analytics, and business intelligence.


• help us explore and exploit cutting-edge technologies, including big data platforms and machine learning.


• find yourself looking outwards and collaborating; not just among the team but with expert economists, technologists, data scientists and statisticians – and counterparts in other international organisations and central banks.


• benefit from a working in a unique, international environment that offers flexible, hybrid working options with a blend of onsite work from our central office location in Basel and home office.


• Supporting the Monetary and Economic Department (MED) in the effective provisioning, development and use of business applications and contributing to defining and implementing the IT strategy and architecture for MED statistical applications.


• Managing MED IT’s product portfolio and assume related procurement, contract, budget and reporting responsibilities.


• Providing IT / administrative support to MED IT users, customers, and steering committees.



Qualifications, skills, and experience:

• Graduate degree in computer science or another IT-related technical field or equivalent

experience.

• Experience in managing IT products including budgeting, procuring and contract management.

• Experience in supporting a large IT customer base (3rd level support), including excellent communication skills.

• Programming skills in languages like Python, C# .NET, Java.

• Experience in working with economic and financial statistics (using data science tools).

• Knowledge and experience on working with SQL and various databases.

• Strong analytical skills and passion for solving data challenges is required to be successful in this role

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