Technical Business Intelligence

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Key Responsibilities 1. Technical Leadership Lead the design and development of BI architecture, data models, and data pipelines. Define best practices for data warehousing, ETL/ELT processes, and reporting. Review code and ensure high-quality, maintainable BI solutions. Select appropriate BI tools and technologies. 2. BI Solution Development Design and develop dashboards, reports, and analytics solutions. Optimize data models for performance and scalability. Implement data transformations, aggregation, and business logic. Common tools include: Microsoft Power BI Tableau Qlik Sense 3. Data Engineering & Architecture Design data warehouse or lakehouse architecture. Develop ETL pipelines using tools like: Azure Data Factory Apache Airflow Informatica Work with databases such as: Snowflake Amazon Redshift Google BigQuery 4. Team Leadership Lead and mentor BI developers and data engineers. Conduct design reviews and technical guidance. Ensure agile development practices. 5. Stakeholder Collaboration Work with business teams, product owners, and analysts. Translate business requirements into technical BI solutions. Deliver insights to support strategic decision-making. 6. Data Governance & Quality Ensure data consistency, security, and governance. Define data standards, naming conventions, and validation rules. Implement monitoring and data quality checks. Required Skills Technical Skills Strong SQL and database design Data modeling (Star Schema, Snowflake Schema) ETL/ELT pipeline design BI tools (Power BI / Tableau / Qlik) Cloud platforms: Amazon Web Services Microsoft Azure Google CloudKey Responsibilities 1. Technical Leadership Lead the design and development of BI architecture, data models, and data pipelines. Define best practices for data warehousing, ETL/ELT processes, and reporting. Review code and ensure high-quality, maintainable BI solutions. Select appropriate BI tools and technologies. 2. BI Solution Development Design and develop dashboards, reports, and analytics solutions. Optimize data models for performance and scalability. Implement data transformations, aggregation, and business logic. Common tools include: Microsoft Power BI Tableau Qlik Sense 3. Data…

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job

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active

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public

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Publikováno

11. 3. 2026

Upraveno

26. 7. 2026

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