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Tier-1 brand, mid-level generalist analytics role with broad tooling and metro appeal.
Core data engineering and analytics skills are transferable, but banking operations knowledge increases domain specificity.
Explicit 6+ years requirement plus mandatory SQL/Python/Alteryx and domain experience narrows candidates.
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Lead delivery of scalable, governed data and analytics solutions enabling business decision-making for Branch Administration and Operations.
Manage and prioritize data product backlog based on consumer banking outcomes and risk.
Build reusable data pipelines (Alteryx, SQL), develop executive dashboards (Tableau), and translate analysis into actionable executive recommendations.
6+ years of related experience.
Bachelor's degree in a quantitative or related field; alternatively Masters/PhD or Bachelor's with 5+ years experience in related discipline.
Proficiency with SQL, Python, SAS required.
Not explicitly mentioned: Notice period or strict location requirement.
Experienced in collaborative, cross-functional partnerships with process owners and stakeholders to embed user research into analytics design.
Strong background in data architecture, metadata management, and enterprise data governance standards.
Familiarity with operational business processes and technology platforms like Alteryx, Snowflake, AWS, Databricks, Jira, and analytics methodologies (Six Sigma, Root Cause analysis).