Job Overview
- Salary Offers €700 - 1,000 per hour
You report to the Group Head of IT Data, to carry out the Group’s Data ambitions. IT Department is organized around “Business Verticals” (BV) teams who is each dedicated to one business, and who manage the IT interest of the business, coordinating all relevant IT resources. The BV partners with the Software Development Factory unit, who tackles technical implementation. The mission of the IT Data Team has 3 objectives : As Business Analyst in the IT Data team, you support the team by participating to the business requirements for new data usages in one of the following activities: Asset management, Capital Markets, Private Wealth Management, Securities Services.
Background : – 10 years of overall IT experience – 5 years experience on BI / Analytics projects – Hands-on experience in Data projects Expectations: – Support the business on BI and Analytics reporting deployment – Assist IT Data & BI transformation towards wider data skills, tooling and processes – Bring data expertise: data-centric approach, acculturation, archi/engineering – Facilitate improvement of Data Quality, Availability and Governance by IT teams – Support the data transformation in the group by helping in adoption of new data principles. -Contribute to the animation of the Data Community and the initiatives for improving data literacy in the Group Knowledge foundation: – Functional knowledge of at least one business line: Asset management, Capital Markets, Private Wealth Management, Securities Services – Data architecture (modeling, design) – Change Management strategies, tools and techniques – Data-centric culture: data governance, policies, DQ, data protection/risk coverage – Big Data concepts, principles and practices: Data storage, cloud computing, – Software Delivery Life Cycle and Dev(Sec)Ops approach – Agile approach, principles and frameworks – Functional Architecture and/or IS Urbanization Skills foundation : – Data concepts and methodologies: Business Intelligence, Data Modelization, Data lifecycle concepts, modern Data platform approach – Data engineering: ML Ops, Data Science – Hands-on experience in Data projects – Hands-on experience in IT service and teams – Strong soft skills to generate trust, credibility, and vision with all stakeholders – Fully proficient in English |