Eu- Business Intelligence Expert- Remote - Brussels, België - The White Team

The White Team
The White Team
Geverifieerd bedrijf
Brussels, België

1 week geleden

Sophie Dubois

Geplaatst door:

Sophie Dubois

beBee Recruiter


Beschrijving

DESCRIPTION OF THE TASKS AND THE SCOPE OF COMPETITION

The following tasks will be performed:

  • Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses)
  • Designing architectures both on the cloud and onpremises (whether hosting or cloud onpremises) or a combination of both (hybrid)
  • Gathering business requirements
  • Designing ETL processes
  • Data virtualization
  • Data modelling
  • Physical DB design
  • DB performance analysis
  • Design of Data Quality and Health Monitoring processes
  • Elaboration of test programs
  • Writing of technical documentation
  • Assistance with the deployment and configuration of the system
  • Participation in meetings with other project teams
  • In addition, the following tasks will be performed by external service provider:
  • Providing of advice and assistance, solution patterns and best practices as data scientist
  • Defining and building a Qlik environment that would serve to disseminate dashboards and reports based on all fisheries control systems
  • Generating documentation about reporting architecture/environment put in place
  • Helping in deploying, promoting, and using Qlik products in DG MARE and in particular Qlik Sense with GeoAnalytics and QAP
  • Identifying the dataanalytics problems that offer the greatest opportunities to the organization and creating solutions that enable enhanced business performance
  • Collecting large sets of structured and unstructured data from disparate sources
  • Analyzing the data to identify patterns and trends
  • Interpreting the data to discover solutions and opportunities
  • Using a wide variety of tools, including Qlik Sense, Excel, SQL, PL/SQL
  • Building data visualizations in attractive and innovative ways for managers, operational users, and citizens
  • Communicating findings to internal and external stakeholders using visualization and other means

LEVEL OF EDUCATION

  • Master's degree of 5 years.

Job requirements

KNOWLEDGE AND SKILLS

  • Good knowledge in business intelligence
  • Good analytical skills to go through large amounts of data and analyze them
  • Deep knowledge of analysis/modelling tools and techniques (entity relationship model etc.)
  • Deep knowledge of Qlik View/Sense, SQL language, PL-SQL, XML, Oracle and Excel
  • Ability to participate in multilingual meetings, very good communication skills
  • Strong capacity to give high level presentations
  • Excellent knowledge of data warehouse design & architecture
  • Good knowledge of data lake/data lakehouse design and architecture
  • Excellent knowledge of relational database systems applied to data warehouse
  • Knowledge of nonrelational database technologies
  • Excellent knowledge of SQL
  • Excellent knowledge of business intelligence reporting tools
  • Excellent knowledge of ETL tools
  • Excellent knowledge of modelling tools
  • Excellent knowledge of online analytical data processing (OLAP) and data mining tools
  • Knowledge of near real time data warehousing and/or change data capture technologies
  • Capability of working in an international/multicultural environment
  • Capability of integration in an international/multicultural environment, rapid selfstarting capability and experience in working in team
  • Ability to participate in multilingual meetings
  • Ability to work in multicultural environment, on multiple large projects
  • Excellent Team Player
  • Ability to understand, speak, and write English, level C1

SPECIFIC EXPERTISE
The following specific expertise is mandatory for the performance of tasks:

  • At least 1 year of experience with Qlik
  • Excellent knowledge of data warehouse design & architecture
  • Good knowledge of data lake/data lakehouse design and architecture
  • Excellent knowledge of relational database systems applied to data warehouse
  • Knowledge of nonrelational database technologies
  • Excellent knowledge of SQL
  • Excellent knowledge of business intelligence reporting tools
  • Excellent knowledge of ETL tools
  • Excellent knowledge of modelling tools
  • Excellent knowledge of online analytical data processing (OLAP) and data mining tools
  • Knowledge of near realtime data warehousing and/or change data capture technologies
  • Good knowledge of cloudbased business intelligence design

CERTIFICATIONS & STANDARDS
The following certifications are optional for the performance of tasks:

  • Microsoft Data Analyst Associate
  • Microsoft Azure Data Engineer Associate
  • Amazon Certified Data Analytics Speciality

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