Senior IT Data Analyst

The candidate will support the project teams in following activities, and/or perform activities themself :

Data analysis

• Organization and moderating workshops with the business client in order to define their business needs.

• Analyse requests for new datasets (or new reports requiring new data), from business requirements gathering/clarification to functional analysis (including definition/clarification of business rules, data profiling, quality criteria, security rules, and source-to-target mapping)

• Build detailed design of solution for data ingestion, storage, transformation, distribution and consumption and for model automation, in line with business requirements.

• Designing the different data patrimonies and keep it coherent in the time.

Data modelling

• Understand and translate business needs into conceptual and logical data models according to company standards and guidelines.

• Explaining the functional contents of the projects to the development team.

• Ensure consistency across data models and foster integration/reuse across the departments of the organisation.

• Understand the architecture, infrastructure, security requirements and set-up, data platform structure and organization, as well as the interfaces to data sources, the tools supporting automated data loads

• Language: English fluent + French fluent + Dutch fluent

• Master or Engineer in IT or in a scientific domain with IT interest OR Bachelor with a minimum of 5 years' experience in technical analysis.

• Minimum 5 years experience

• Business and functional analysis

• Data modelling

• DMBOK

• Combination of technical training plus 2 years' experience/knowledge of data application development and/or management required.

• Good computer skills, proficient with Microsoft office applications including Microsoft BI Tools.

• Data querying (SQL) and analysis

• MS Azure data platform (architecture + hands-on experience)

• Informatica (or similar)

• Databricks

• Experience in data modelling.

• Understanding development life cycles.

• Data management and governance.

Bonus :

• Experience in functional Enterprise modelling and Architecture

• Scheduling principles and techniques.

• Data modelling tools like Erwin.

• Thorough understanding of corporate and industry practices, processes, standards etc. and their impact on project activities.

• Experience in functional Enterprise modelling and Architecture.

• Knowledge of insurance processes (Life).

• Business Process Analysis.