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Senior, metro-based data role at a known bank with broad skills required yields moderate competition.
Requires financial-services domain knowledge plus data expertise, limiting cross-industry transferability.
Explicit 8+ years plus mandatory Snowflake/SQL and visualization skills indicate strict screening.
Drive use of advanced analytics to develop business solutions improving understanding of customers, processes, channels, and products.
Lead and coach team members to plan and deliver strategic projects and scrum outcomes.
Plan and deliver data and analytics resources and solutions that add commercial and customer value; communicate analytics opportunities effectively to stakeholders.
8+ years of work experience in data and analytics or related roles.
Strong SQL coding skills, ideally with Snowflake or AWS environments.
Proficiency with data visualization tools such as QuickSuite, Tableau, or PowerBI.
Good knowledge of data management principles and financial services domain.
Experience working closely with business stakeholders to solve complex, ambiguous problems using advanced analytics.
Ability to lead and coach team members in strategic project delivery in agile/scrum environments.
Familiarity with data engineering, data science, decisioning disciplines, and tools such as Gitlab/Github; Python and orchestration tools (e.g., Apache Airflow) are bonus but not mandatory.