> Markdown version of [/jobs/ext/4572942-business-intelligence-ontwikkelaar](https://www.wearedevelopers.com/jobs/ext/4572942-business-intelligence-ontwikkelaar). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Ontwikkelaar - **Company:** Zicht - **Location:** 's-Hertogenbosch, Netherlands - **Contract:** Permanent contract - **Skills:** Data Analysis, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Presentation, Data Warehousing, Database Queries, Dimensional Modeling, Power BI, Tableau (Software), Business Intelligence Development Studio, Build Management, Qlikview, Tools for Reporting, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.werk.nl/nl/vacatures/72119610 ## About the Role tools and scheduling/automation. - Analytics: Understanding of KPI design, data storytelling, and stakeholder communication. - Quality & security: Knowledge of access control, privacy, and data governance principles. Key outcomes - Accurate, performant dashboards and reports that support business performance management. - Trusted datasets and clear metric definitions that enable consistent reporting across teams. Data omzetten in inzichten waar onze organisatie echt mee verder kan. Dat is waar jij ... ## Description Role purpose: Develop, maintain, and optimize Business Intelligence (BI) solutions that transform data into reliable insights for decision-making. Core responsibilities - Design and build BI reports, dashboards, and data models aligned with business requirements. - Develop and maintain ETL/ELT pipelines to integrate data from multiple sources. - Ensure data quality, consistency, and governance through validation and monitoring. - Optimize performance of queries, data models, and reporting solutions. - Collaborate with stakeholders to translate needs into functional BI specifications. - Document solutions, definitions, and processes for maintainability and reuse. Required skills and qualifications - BI tooling: Experience with common BI platforms (e.g., Power BI, Tableau, Qlik) and report development best practices. - Data engineering: Strong SQL skills; experience with data warehousing concepts (dimensional modeling, star/snowflake schemas). - ETL/ELT: Familiarity with integration