





Strong employer brand, generalist analytics title, metro location, and mid-level experience increase candidate competition.
Analytics skills are transferable but banking domain knowledge preferred, producing moderate industry specificity.
Explicit 5+ years requirement plus mandatory analytics, SQL, BI and stakeholder management skills increases filter strictness.
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Advise business and company-wide functions using complex data analysis to influence strategies aimed at maximizing profits and minimizing losses within compliance standards.
Lead end-to-end analytics projects including research, solution development, implementation, and business adoption with accountability for governance and stakeholder communication.
Leverage advanced analytics, statistical modeling, AI/LLM technologies, and visualization tools to generate business insights and develop AI-powered analytical agents for improved decision-making.
5+ years of Analytics experience (work experience, training, military experience, education equivalent).
Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, or related) required; Master's preferred but not mandatory.
Advanced proficiency in SQL and data analytics tools; experience with Power BI, Tableau, or similar visualization platforms.
Not explicitly mentioned in the JD: Notice period or strict location requirements.
Experienced in managing senior stakeholders and leading cross-functional analytics projects with business impact.
Strong skills in statistical analysis, data modeling, and executive-level presentations, capable of translating complex findings into business narratives.
Proven ability to integrate modern AI/ML techniques and develop AI-driven analytical agents within a banking or financial services context.