Eu- Business Intelligence Expert- Remote
Il y a 2 mois
**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 on-premises (whether hosting or cloud on-premises) 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 data-analytics 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 multi-lingual 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 non-relational 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 self-starting 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 non-relational 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
- Good knowledge of cloud-based 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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