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Mid-level, metro, generalist Azure/Python/Data role at a notable employer increases candidate competition.
Core Azure, Python, and Power BI skills are highly transferable across industries.
Mandatory 5–7 years and explicit Azure/Python/Data stack requirement enforce strict shortlisting.
Lead and coordinate complex analytics and data visualization projects with minimal support, ensuring high-quality deliverables and adherence to standards.
Manage and develop a small team (1-2 analysts), including conducting regular one-on-one sessions and providing training on SQL, Azure, Python, and Power BI.
Improve analytics team operations and productivity by identifying process and tool enhancements, and clearly communicate data insights to senior stakeholders.
5-7 years overall experience in data management with at least 2 years in Python and Azure services including Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data Factory, and Blob Storage.
Experience in at least 2-3 projects involving Python automation and data modelling.
Graduate or post-graduate degree preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering or related field; Microsoft Azure certification required.
Work Experience Required: 5-7 years in data management and analytics.
Experienced in leading analytics projects with ability to translate business requirements into technical specifications and functional designs.
Demonstrated capability to manage and mentor analytics team members while maintaining delivery standards and improving team productivity.
Comfortable working with globally distributed teams and communicating analytics insights to senior stakeholders effectively.