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Tier-1 brand, metro location, mid-level generalist analytics role, and broad toolset drive high competition.
Banking operations focus and regulatory requirements reduce cross-industry transferability, so sensitivity is high.
Requires 3+ years, banking domain expertise, specific analytics tools, and regulatory compliance, so high strictness.
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Drive development and implementation of analytical solutions to support banking operations and business objectives within COO's domain.
Analyze and optimize business processes related to banking operations such as spend, utilization, and fraud analytics, recommending scalable, data-driven solutions.
Transform manual reports into centralized dashboards and actionable insights; manage stakeholder communications and ensure compliance with data governance and regulatory standards.
Minimum 3+ years experience in Business Analytics and Transformation roles with proficiency in SQL, SAS, Python, PySpark, Tableau or similar tools.
Bachelor’s degree in STEM required; Master’s degree preferred.
Experience in banking operations analytics (e.g., expense analytics, cash flow management, fraud analytics).
Knowledge of regulatory requirements related to data privacy and security; experience developing and deploying AI solutions in partnership with technology and business teams.
Proven ability to translate complex data into actionable insights to drive operational efficiency and business decisions in financial services.
Experienced in stakeholder management bridging business and technical teams to align analytics solutions with business needs.
Comfortable working in fast-paced, compliance-driven environments with strong grasp of emerging AI/Gen AI technologies and data governance best practices.