Minimum of 3+ years of experience in Business Data, BI Engineering, or Analytics Engineering roles
Strong proficiency in SQL and Python
Solid experience with data modeling, data transformations, and analytical datasets
Hands-on experience with data cleaning, validation, and testing
Experience working with data transformation frameworks
Strong analytical and problem-solving skills
Excellent communication and collaboration (soft skills)
Good level of English (written and spoken)
Experience with BI and data visualization tools
Understanding of APIs and data integration concepts
Knowledge of ELT processes and data workflows
Design, develop, and maintain analytical data models to support business reporting and insights
Build and manage data transformation pipelines following ELT best practices
Perform data cleaning, validation, and testing to ensure data quality and reliability
Deploy and test analytical datasets and transformations
Collaborate closely with business stakeholders to understand reporting and analytics needs
Integrate data from multiple sources using APIs and structured workflows
Support and optimize BI tools and semantic layers
Document data models, transformations, and analytical logic
Contribute to continuous improvement of analytics engineering processes and tooling
