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Tier-1 brand, metro location, mid-level generalist analytics role with broad skillset increases candidate competition.
Core analytics skills are transferable, though banking compliance and domain knowledge increase preference for financial services backgrounds.
Explicit years, mandatory analytics/SQL/BI skills and regulated banking context create strict shortlisting.
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Advise business and companywide functions using advanced analytics to maximize profits, asset growth, and minimize losses within risk standards.
Lead end-to-end analytic projects including problem definition, solution development, implementation, and stakeholder communication, ensuring scalability and alignment with business goals.
Leverage AI and machine learning technologies to build analytical agents and drive innovation in analytics, while mentoring teams and collaborating cross-functionally.
5+ years of analytics experience required (or equivalent via work experience, training, military, education).
Strong knowledge of statistical analysis, data modeling, and advanced proficiency in SQL and analytics tools (Power BI, Tableau).
Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, or related quantitative field; Master’s preferred but not mandatory.
Experience managing senior stakeholders and cross-functional projects is mandatory.
Experienced in applying advanced statistical and predictive modeling techniques to solve business problems within financial or consulting environments.
Demonstrates ability to manage strategic stakeholder relationships and influence decisions through consultative problem solving and clear business storytelling.
Proficient in integrating AI/ML technologies into analytics workflows, with practical skills in Python, R, and AI agent development platforms like Microsoft Copilot Studio and Azure AI.