BI & Data Analytics Architect

• Provide advice, support and training for Business Intelligence and Data Analytics related activities for technical and non-technical users (Data Modelling and Design, Architecture Review, Data projects, Standards and processes, Centre of Competence)

• Prepare architecture deliverables concerning Business Intelligence and Data Analytics topics (Reference Data Architecture, Data Platform, Data Governance, Data Strategy, Data Inventory, Master and Reference Data)

• Building data-driven solutions for a variety of end-users, within an advanced technology context.

• Conduct proofs of concept concerning new technologies and trends, products, or appliance of IT best practices

• Gathering and analysis of the business requirements.

• Technical analysis and specifications of BI (Business Intelligence) and DA (Data Analytics) solutions.

• Exploratory data analysis to identify, analyse, and interpret patterns and trends in complex data sets for diagnosis and prediction.

• Definition and drafting of training and support procedures. • Architecture, design, deployment, and management of Data Platforms.

• Design, modelling, development, management and review of end-to end BI and DA products based on on-prem and cloud data platforms. Including: ETL, Data Lakes, Data Warehouse, visualisations for non specialist (eg: reports, charts, and dashboards), export mechanism (eg: APIs), …

• Set-up CI/CD pipelines including automatic testing and quality assurance.

• Maintenance of BI and DA products, including troubleshooting, bug fixing, performance analysis, technical migrations, …

• Integration and reusability of COTS, SaaS, PaaS and SaaS.

• Conception and implementation of data protection measures, data security measures and disclosure control.

• Definition of test strategies, design, and testing.

• Definition of best practices and standards.

• Technology watch, technology evaluation and contribution to platform definition and strategy documents.

• In depth knowledge of modern data platforms architecture, including integration of different products/technologies to deliver data-driven solutions.

• In dept knowledge of data modelling for data lakes and data warehouses (eg: Medallion Architecture, Star Schema and Kimball)

• In depth knowledge of SQL (eg: Oracle, SQL Server,…)

• In depth knowledge of orchestration (eg: Airflow) and ETL tools (eg: DBT, SSIS, …)

• In depth knowledge of visualisation tools (eg: PowerBI)

• In depth knowledge of CI/CD tools, testing and quality assurance.

• Excellent analytical thinking, by using logic and reasoning to identify patterns and gaps while analysing and exploring data.

• In depth knowledge of programming languages for data analytics (eg: python, R, …)

• Experience in setting up a Centre of Competence to provide advice, support and training for Business Intelligence and Data Analytics related activities for technical and non-technical users.

• Technical guidance including solution finding for highly complicated issues.

• Validation of technological orientations.

• Validation of business cases and/or maturity assessment studies.

• Ability to cope with fast changing technologies.

• Experience in real time reporting would be an asset.

• Experience in linked open data and semantic technologies, ontologies, metadata standards, reference databases, multilingual thesauri and taxonomies would be an asset.

• Experience in big data, geospatial data, unstructured information, automated document classification and reference databases would be an asset.

• Experience in cloud environments and containerisation would be an asset.

Netcompany-Intrasoft