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Tier-1 brand, mid-level generalist role in metro with common skills drives high competition.
Core data skills are transferable but banking operations and regulatory knowledge increase domain specificity.
Explicit 3+ years, specific BI/automation techs and banking regulatory experience create strict filters.
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Drive development and implementation of analytical and automation solutions to support Banking Operations & Analytics goals within COO.
Develop and maintain reports and interactive dashboards (Tableau, Python, Power BI) presenting KPIs and operational metrics.
Identify inefficiencies and automate manual processes using SQL, Python, SAS, PySpark, and related technologies to improve efficiency and accuracy.
3+ years experience in Reporting & Automation, Data/Information Management 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, fraud analytics) and knowledge of data privacy and security regulatory requirements.
Work Experience Required: 3+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced data analyst with a strong track record of delivering actionable business insights and process automation in banking operations context.
Skilled in multi-tool data manipulation and automation scripting, capable of establishing scalable analytics frameworks and frameworks for data governance.
Familiar with AI/Gen AI deployment alongside technical and business teams to impact business drivers and operational risk analysis.