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Mid-level Power BI/data role with common 3–5 year range and broad skill requirements.
Power BI, ETL, SQL, and Python skills are highly transferable across industries.
Requires explicit 3–5 years plus Power BI, Databricks, Python, SQL, and Azure skills.
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Design, develop, and maintain interactive Power BI dashboards, reports, and automated data pipelines using Python and Databricks.
Perform data extraction, transformation, cleansing, integration, and create scalable data models with DAX and Power Query to support analytics and KPI reporting.
Optimize report performance, automate recurring reporting processes, and collaborate with business teams to translate requirements into technical solutions.
Bachelor's Degree in Computer Engineering, Computer Science, Information Technology, or a related field.
3 to 5 years of hands-on experience in Power BI and related data analytics/reporting technologies.
Proficiency in Python for data processing and automation, and experience with Databricks for building automated ETL/ELT pipelines.
Experience with relational databases, advanced SQL queries, and cloud platforms such as Azure Data Lake, Azure Synapse, or Azure SQL.
Experienced in end-to-end Power BI report development including data modeling and DAX measures, indicating strong domain expertise in data visualization and BI reporting.
Comfortable working with cloud-based data platforms and automation technologies (Python, Databricks), suggesting ability to handle scalable and automated data workflows.
Able to collaborate effectively with business teams to translate complex requirements into optimized, automated reporting solutions, highlighting a solution-oriented operating style.