Business Intelligence Expert

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 combination of both (hybrid).

Designing ETL processes.

Data virtualization.

Data modelling.

Design and development of reporting applications.

Physical DB design.

DB performance analysis.

Design of Data Quality and Health Monitoring processes.

Elaboration of test programs.

Writing of technical documentation.

Assistance with deployment and configuration of the system.

Participation in meetings with other project teams.

Test and validate the proposed reports and dashboards and its functionalities making sure it correctly reflects the data from the source systems.

Implement and oversee data quality standards, ensuring that data is accurate, consistent and reliable.

Identify and address data quality issues through collaboration with relevant stakeholders.

Assist in the go-live of the validated solution.

Provide knowledge sharing and expertise towards the internal team of consultants.

Communicate effectively with both technical and non-technical stakeholders to ensure a clear understanding of business needs and data requirements.

Perform demos on the reports and dashboards for the relevant stakeholders.

Organize workshops with the relevant stakeholders.

Excellent knowledge of data warehouse design & architecture.

Excellent knowledge of relational database systems applied to data warehouse.

Knowledge of non-relational database technologies.

Excellent knowledge of SQL and PL/SQL.

Excellent knowledge of QlikSense, Qlikview and SAP BO.

Excellent knowledge on Qlik NPrinting.

Excellent knowledge on Qlik Mashup.

Excellent knowledge of Microsoft Power BI.

Excellent knowledge of Oracle Warehouse Builder.

Excellent knowledge of Microsoft SQL Server.

Excellent knowledge of SQL Server Integration Services.

Excellent knowledge of Microsoft Master Data Services.

Excellent knowledge of ETL tools.

Excellent knowledge of modelling tools.

Excellent knowledge of online analytical data processing (OLAP) and data mining tools.

Knowledge on Snowflake Azure.

Knowledge of near real-time data warehousing and/or change data capture technologies.

Strong knowledge of software development methodologies (e.g. RUP, Agile).

Good understanding and experience to apply the SAFe methodology.

Great communication and interpersonal skills.