Key Responsibilities
Perform advanced exploratory data analysis and statistical modeling using Python (Pandas, NumPy, Seaborn, etc.).
Work with large datasets stored in Azure platforms like Data Lake, Synapse, and SQL Database.
Design and manage ETL/ELT pipelines using Azure Data Factory and Databricks.
Build insightful dashboards using Power BI or similar visualization tools.
Collaborate with cross-functional teams to deliver data-driven business decisions.
Maintain high standards for data integrity, quality, and governance.
Automate recurring data tasks using Python and Azure-based workflows.
Required Skills
Minimum 5 years of hands-on experience in data analysis.
Solid command of Python for data manipulation and automation.
Deep expertise in Azure cloud tools:
Azure Data Factory
Azure Data Lake
Azure Synapse / SQL
Azure Databricks (preferred)
Proficient in SQL, data modeling, and ETL/ELT processes.
Excellent problem-solving, communication, and stakeholder management skills.
Bonus Points For
Experience with Power BI, Tableau, or similar BI tools.
Familiarity with Git, CI/CD, or ML concepts.
Holding Microsoft Azure certifications like DP-900 or DP-203.
Soft Skills That Matter
Analytical thinker with excellent attention to detail.
Robust communicator who can turn data into storytelling.
Self-driven and team-oriented with a proactive attitude.