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Popular mid-level Power BI role with moderate skill breadth and lesser-known employer, driving medium candidate density.
Power BI, SQL and data engineering skills are highly transferable across industries.
Explicit 2–4 years plus mandatory Power BI, DAX, SQL, Power Query and Python skills.
Design, develop, and maintain interactive Power BI dashboards, advanced DAX measures, and data models with performance optimization and RLS.
Develop and maintain ETL/ELT data pipelines supporting Bronze-Silver-Gold architecture using Microsoft Fabric and Azure Data services.
Integrate data using Python scripting and APIs, and support Power Platform automation solutions like Power Apps and Power Automate.
2-4 years of Power BI development experience including DAX, Power Query, SQL, and data modeling.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Analytics, or related field.
Working knowledge of Python/Pandas, Microsoft Fabric/Azure data services, and understanding of data warehouse and ETL/ELT concepts.
Work Experience Required: 3+ years in BI/Data Visualization/Power BI preferred.
Experienced in Power BI development with strong skills in DAX, SQL, and data modeling combined with Python and Microsoft Fabric knowledge.
Ability to work on end-to-end data engineering tasks involving Azure Data Factory, Databricks, PySpark, and modern BI/AI visualization tools.
Capable of translating business requirements into scalable BI and data solutions, with an inclination to grow into a Fabric/Data Engineering role.