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Strong Tier-1 brand plus mid-level analytics role with some domain specificity yields medium competition.
Requires banking operations knowledge and domain-specific processes, so candidate backgrounds are less transferable across industries.
Explicit years, quantitative degree, and specific tools (Alteryx, SQL, Python, Tableau) make filters strict and selective.
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Lead delivery of scalable data and analytics solutions enabling business decision-making for Branch Administration and Operations.
Manage and prioritize data product backlog based on banking outcomes and risk, ensuring compliance with data lake standards.
Develop executive dashboards and translate analytics into actionable recommendations partnering with cross-functional teams.
6+ years of related experience in quantitative or analytics roles.
Bachelor's degree in a quantitative or related field; Masters/PhD or Bachelor's with 5+ years experience also acceptable.
Proficiency in SQL, Python, SAS; experience with data pipeline tools like Alteryx.
Not explicitly mentioned: specific notice period or location requirements.
Experienced in building and maintaining data pipelines and data governance including metadata, lineage, and documentation.
Skilled in translating complex analytical insights into executive-level reporting and business recommendations.
Comfortable working cross-functionally embedding user research and journey insights into data product design decisions.