Back
Tier-1 employer, metro location, generalist data title, and broad tooling requirements increase applicant competition.
Analytics skills are broadly transferable, though banking credit-card experience increases role specificity.
Explicit 1-2 years and required Python/SQL/SAS/data tooling make screening relatively strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze complex data sets within the credit card domain to identify business opportunities and challenges and drive data-driven recommendations.
Manage end-to-end data lifecycle including processing, quality assurance, analysis, and reporting of insights.
Collaborate cross-functionally to define data requirements and support implementation of business strategies ensuring risk compliance and operational accuracy.
1-2 years of experience in data or business analytics, preferably in banking or financial services.
Proficiency in Python, SQL, and data visualization tools such as Tableau; experience with big data technologies (e.g., Hive, Impala, PySpark) is a plus.
Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Business Analytics) or equivalent experience.
Work Experience Required: 1-2 years relevant experience in data or business analytics.
Has practical experience applying analytical tools and methods in banking or credit card business contexts.
Demonstrates ability to interpret and communicate complex data insights clearly to varied stakeholders.
Can coordinate across teams and handle compliance and risk considerations in business data decisions.