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ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
The BI & Data Science team brings together professionals across Data Engineering, BI & Analytics, and Data Science. It develops a cloud data platform and supports data-driven decision-making through data ingestion, modelling, dashboards, visualisation, storytelling, reporting, and analytics.
задачи
Develop and innovate the cloud data platform
Work with business stakeholders to understand their requirements and translate them into useful datasets
Enable KPI dashboards, advanced visualisation, data storytelling, business reporting, and analytics
Involve stakeholders throughout development to ensure solutions meet their information and reporting needs
Coordinate data ingestion and work with BI specialists to manage and develop the data model
Monitor and safeguard data quality
Manage data retention within the BI platform
Act as a sparring partner for business stakeholders
Advise the business on effective use of information
Provide requested and proactive insights
Develop and maintain data pipelines and datasets
Support continuous improvement of the cloud data platform
требования
HBO-level education or equivalent working ability
5+ Years of professional experience in BI/Data Engineering
Strong hands-on experience with Azure Cloud Platform, Azure Data Factory, and Databricks
Strong proficiency in Python and SQL
Professional-level Dutch and English
Strong analytical and problem-solving skills
Excellent communication and stakeholder-management skills
Customer-oriented and accurate
Comfortable working independently and taking responsibility
Strong team player, willing to share knowledge and expertise
Able to work effectively under pressure
Будет плюсом: experience with Power BI, QlikView, or Business Objects
условия
Hybrid working environment
Opportunities for learning and development
Opportunity to work with modern cloud data technologies
Challenging projects in a rapidly changing environment
Strong focus on innovation and data-driven decision-making