Business Intelligence Developer

Accepting immediate joiners only Key Responsibilities Develop and maintain Power BI dashboards with end-to-end ownership, including DAX for front-end calculations. Review, optimize, and enhance data models to ensure scalability and performance. Utilize Databricks Lakehouse platform for data hosting and processing. Write and execute SQL queries for data extraction and transformation. Implement automation scripts using PySpark for efficient data movement and processing. Collaborate cross-functionally to present data insights to stakeholders and support business objectives. Work with pharma industry datasets to ensure compliance and accuracy in reporting. Must-Have Qualifications Proven experience with Power BI (end-to-end development and DAX). Strong data modeling skills with optimization experience. Hands-on experience with Databricks Lakehouse environment. Proficiency in SQL for querying large datasets. Familiarity with PySpark for automation and data engineering tasks. Experience working with pharmaceutical industry data . Excellent communication skills for presenting insights and collaborating with stakeholders. Preferred Qualifications (Pluses) Knowledge of IQVIA Data Assets and their application in pharma analytics. Experience with Azure Data Factory for data integration and orchestration. Accepting immediate joiners only Key Responsibilities Develop and maintain Power BI dashboards with end-to-end ownership, including DAX for front-end calculations. Review, optimize, and enhance data models to ensure scalability and performance. Utilize Databricks Lakehouse platform for data hosting and processing. Write and execute SQL queries for data extraction and transformation. Implement automation scripts using PySpark for efficient data movement and processing. Collaborate cross-functionally to present data insights to stakeholders and support business objectives. Work with pharma industry datasets to ensure compliance and accuracy in reporting. Must-Have Qualifications Proven experience with Power BI (end-to-end development and DAX). Strong data modeling skills with optimization experience. Hands-on experience with Databricks Lakehouse environment. Proficiency in SQL for querying large datasets. Familiarity with PySpark for automation and data engineering tasks. Experience working with pharmaceutical industry data . Excellent communication skills for presenting insights and collaborating with stakeholders. Preferred Qualifications (Pluses) Knowledge of IQVIA Data Assets and their application in pharma analytics. Experience with Azure Data Factory for data integration and orchestration.