Description

You design and build enterprise-grade analytics solutions using Power BI, Databricks, and Python to drive data-informed business decisions.

This role is hybrid.

Responsibilities

• Develop Power BI reports and dashboards, writing advanced DAX measures, complex KPIs, and row-level security rules.
• Build and transform large-scale datasets in Databricks using PySpark and Python for data exploration and pipeline development.
• Write complex SQL queries for data extraction, joins, and query optimization across enterprise datasets.
• Design dimensional data models, star schemas, and BI semantic layers to support self-service analytics.
• Automate recurring reporting workflows and maintain technical documentation including data dictionaries.

Required Skills

• 5+ years of experience in Data Analytics and BI Development within an enterprise environment.
• Strong proficiency in SQL, including window functions, stored procedures, and performance tuning.
• Hands-on Power BI development: Power Query (M), DAX, data modeling, and report publishing.
• Proficiency in Python for data analysis and scripting (pandas, NumPy).
• Experience with Databricks, including notebooks, PySpark, and Delta Lake workflows.
• Knowledge of data warehousing concepts: star schema, snowflake schema, and data mart design.
• Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field.

Preferred Skills

• Experience with Azure cloud services (Azure Data Factory, Synapse Analytics) or Microsoft Fabric.
• Familiarity with Git-based version control and CI/CD practices for BI artifacts.
• Microsoft Certified: Data Analyst Associate (Power BI) certification.

Key Skills

Education

Bachelor's degree