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Tier-1 bank, mid-level role and metro location with common analytics skills attracts many qualified applicants.
Mandatory credit-card domain implies strong banking domain fit, reducing cross-industry transferability.
Five-plus years, mandatory credit-card domain experience and Python/SAS requirement increases screening rigor.
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Gather operational data from cross-functional teams to analyze past business performance and identify trends.
Provide actionable insights for business planning, process improvement, and strategic opportunities in credit card domain.
Communicate findings clearly to business partners and senior leaders; continuously improve decision strategies and processes.
5+ years of relevant experience in business analytics or related field.
Proficient in Python and SAS; basic statistical modeling skills including Logistic Regression and Decision Trees.
Bachelor's degree or equivalent experience required.
Must have business knowledge specific to the Credit Card domain.
Experienced in operational data analysis within financial services, particularly in credit card products.
Capable of translating complex data into consumer behavior insights for targeting and segmentation.
Comfortable working with cross-functional teams and presenting analytics to senior leadership.