Senior Data Analyst

Description

Founded in 1856, Banque Internationale à Luxembourg (BIL) is the oldest multi-business bank in the Grand Duchy. It has always played an active role in the main stages of development of the Luxembourg economy. It currently operates in retail, private and corporate banking, as well as on financial markets. Employing more than 2,000 people, BIL is present in the financial centres of Luxembourg, Switzerland and China.

**Responsibilities**:
**Your activities**:
You will ensure:

- Clear and understandable definition of Data Quality Issues registered by different departments of the Bank (completeness of description, impact and criticality);
- First level of issue qualification to make sure that IT Defects are re-directed to IT Teams, while only Data Quality issues are kept in the backlog. Understand if it is a quick fix or a more complex issue and identify potential Data Owners and Data Custodians related to each issue;
- For quick fix quality issues, work in collaboration of related Data Owners and Data Custodians to identify the origin of the issue and workarounds to remediate it properly but with mínimal cost;
- For complex quality Issues, work in collaboration of related Data Owners and Data Custodians, prepare business case with complete impact analysis and resolution options to be presented at the Data Quality Forum;
- Reporting on Quality Issues on a recurring basis, to keep track on the evolution of all quality issues and escalate blocking points to the Data Quality Forum;
- Communication within the Data Governance team on status, evolution and blocking points;
- Assistance to the Data Governance Team leader in the preparation of the Data Quality Committee;
- Onboarding of Data Community members into the Tool (JIRA) and Process (Quality Issue Management): user access, configuration of the JIRA tickets and step-by-step process;
- Creating reports and dashboards via Business Intelligence Tools (Microstrategy, SAP BusinessObject) to follow the Data Quality level of the different department;
- Participate on the evolution of Data Quality Tool (functional, technical requirements).

Must Have Requirements

**Qualifications**:

- Proven experience as Data Analyst in the Bank sector;
- Very good knowledge of Data Governance and Data Quality best practices with proven experience;
- Degree in Computer Science, Management Information Systems, Economics or Finance management - BAC + 5;
- Experience in Agile & Waterfall projects;
- You are fluent in written and spoken English and French. You are able to participate actively in English and French meetings;
- Banking know-how: good understanding of the banking products and services (previous experience in the sector is an asset);
- Able to create reporting/Dashboard with Business Intelligent tools (Microstrategy, BusinessObjects);
- Knowledge of SQL and Dataiku is an asset;
- Data modeling (design via HOPEX) and UML design for use cases is an asset.

**Personal skills**:

- Willing to combine business and technology;
- Communication skills, both with business and technical people;
- Ability to clearly document business, functional specifications and to explain the added value in business terms;
- Willing to learn (methods, business activities) and to develop new competencies;
- Team player, with an ability to understand the problems of other businesses;
- Results oriented, self-managed;
- Innovative and creative;
- Listening skills. Seeks to first understand others;
- Enjoying sharing his/her knowledge and supporting colleagues in developing their competencies;
- Concrete relational and conviction capabilities;
- Capacities to organize him/herself and set priorities, manage stress.