BI Specialist

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Logo of Plain Concepts

Plain Concepts

201 - 500 employees

Founded 2006

đŸ€– Artificial Intelligence

🔒 Cybersecurity

Artificial Intelligence ‱ Cybersecurity ‱ Cloud Computing

Plain Concepts is an innovative technology company committed to delivering customized solutions across a wide array of digital needs. With a focus on cutting-edge areas like Artificial Intelligence, cybersecurity, cloud computing, and Internet of Things (IoT), Plain Concepts is a partner for companies looking to enhance operations and secure their digital landscapes. As a recognized Microsoft AI Partner, Plain Concepts aims to transform data into insightful information and improve business applications through bespoke IoT developments. Additionally, the company fosters revolutionary advancements in augmented and virtual reality, while driving digital transformation initiatives with Microsoft 365 and a strong focus on sustainability and social commitment.

📋 Description

‱ Design, develop, and maintain BI solutions (reports, dashboards, and data models) that support operational and strategic decision-making. ‱ Translate business requirements into scalable data models and meaningful visualizations. ‱ Build and optimize ETL/ELT processes to ensure reliable and timely data availability. ‱ Work closely with Data Engineers to improve data quality, performance, and architecture. ‱ Partner with business stakeholders to define KPIs and ensure consistent metric definitions. ‱ Improve existing reporting solutions, focusing on usability, performance, and maintainability. ‱ Support data governance practices and documentation standards. ‱ Troubleshoot data issues and proactively identify opportunities for improvement.

🎯 Requirements

‱ Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field. ‱ 3+ years of experience as a BI Developer, Data Analyst, Analytics Engineer, or in a similar role. ‱ Strong experience with SQL and relational databases. ‱ Experience building interactive dashboards using tools such as Power BI, Tableau, or Looker. ‱ Solid understanding of data modeling concepts (star schema, snowflake schema, dimensional modeling). ‱ Experience designing and maintaining ETL/ELT pipelines. ‱ Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud is a plus. ‱ Knowledge of data warehousing principles and best practices. ‱ Experience with version control tools (e.g., Git) is considered an advantage. ‱ Experience working in Agile environments is preferred. ‱ Excellent organizational and time management skills. ‱ Fluent in English (written and spoken).

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