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Generalist analytics role, mid-level, metro location, broad skillset and reputable employer increases applicant competition.
Core analytics skills are transferable, but required financial instruments knowledge creates moderate industry specificity.
Explicit 5+ years requirement plus multiple mandatory technologies raises filter strictness significantly.
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Manage daily operational activities and ensure high-quality completion within the Analytics team.
Troubleshoot production errors, perform root cause analysis, and incident management related to data and analytics systems.
Develop and improve cloud-based data systems and pipelines using technologies such as Snowflake, Python, SQL, and Microsoft Azure.
5+ years total experience in data and cloud-related roles, including at least 2 years with Microsoft Azure and 4 years with SQL ETL processes.
Strong technical skills in Snowflake, Python (3+ years, including pandas and pyodbc), SQL stored procedures, and Databricks (1+ year).
Graduate degree in any discipline; preference for IT or Finance-related fields.
Experience with financial instruments knowledge (1+ year) either through study or work.
Operates independently and takes ownership of tasks, demonstrating strong troubleshooting and problem-solving capabilities in a self-driven environment.
Experienced in cloud data engineering with practical exposure to Azure, Databricks, and Snowflake in production environments.
Comfortable collaborating with stakeholders and technical teams to communicate requirements and resolve issues effectively.