BI Specialist

We don’t need someone to "build reports." We need someone who understands data as a product. Our business runs on decisions. Decisions depend on metrics. Metrics depend on well-modeled, reliable data. That’s where you come in. You’ll help us design and own the analytical layer of our data platform, from modeling raw data into clean, trusted datasets to delivering insights that leadership actually uses. We are looking for a BI Developer who is comfortable working across the full BI stack: from raw data to business-facing dashboards. This role is hands-on and technical. You'll be building data models, shaping datasets, and delivering reporting solutions that people actually use to make decisions. You should care about data quality, performance, and clean modeling, not just making dashboards look good. What You'll Be Doing 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. 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).