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Mid-level metro analytics role with common Snowflake/Python/SQL skills and multiple amplifiers.
Core Snowflake, Python, SQL and Azure skills are highly transferable across industries despite finance-domain desirable experience.
Multiple explicit years and mandatory tech skills (Snowflake, Python, SQL, Azure, Databricks) create strict filters.
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Manage the core operational activities and day-to-day work of the Analytics team to ensure high-quality completion and issue resolution.
Apply technical skills to improve processes, build new requirements, and contribute to cloud-based projects and enhancements.
Participate in troubleshooting, debugging production errors, root cause analysis, and incident management within data and analytics systems.
5+ years total experience in data and cloud-related roles.
Strong Python skills (3+ years) including pandas and pyodbc usage; excellent SQL skills with 4+ years full ETL experience and ability to create stored procedures.
Experience with Snowflake, Microsoft Azure (2+ years), and Databricks (1+ year).
Graduate in any discipline; preference for IT or Finance-related degrees.
Experienced in cloud data engineering with strong hands-on skills in SQL, Python, and Azure environments, capable of independently managing analytics operational tasks.
Familiar with financial instruments either through work experience (1+ year) or study, adding domain context to technical execution.
Able to contribute to process improvements and participate in development projects, showing problem-solving and collaborative skills within technology teams.