





Mid-level, metro data role with broad Azure/Python/PowerBI requirements at a known brand yields high competition.
Core Azure, Python and Power BI skills are transferable across industries though finance domain experience is advantageous.
Explicit 5–7 years requirement plus mandatory Azure/Python/Data skills enforces high shortlisting strictness.
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Lead and coordinate complex data analytics and visualization projects using tools like SQL, Azure, Python, and Power BI with minimal support.
Manage and develop a small team of 1-2 analysts, including conducting regular 1-1 sessions to support growth and ensure high-quality outputs.
Drive improvements in analytics team operations, training, and knowledge sharing to enhance productivity and capabilities.
5-7 years overall experience in data management.
At least 2 years of hands-on technical expertise in Python and Azure services including Azure Data Lake, Azure SQL Data Warehouse/DB, Azure Data Factory, and Blob Storage.
Graduate or Post-graduate degree preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering or related fields.
Microsoft Azure certification.
Experienced in leading technical projects and coordinating deliverables in a global or distributed team environment.
Proficient in translating business requirements into functional and technical specifications with strong data modeling skills.
Capable of managing and developing small teams with a focus on quality standards, training, and productivity enhancements.