Back
Tier-1 employer, metro role, generalist analytics title, and broad stack requirements increase candidate competition.
Core analytics skills are transferable, but banking/credit-card domain knowledge is preferred.
Explicit 1–2 years, mandated SAS/Python/SQL/Tableau skills and regulated banking context raise selection rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the end-to-end data lifecycle including processing, analysis, quality assurance, and insights reporting to support business decisions in the credit card domain.
Deliver routine and ad-hoc data analysis outputs that inform business strategies and policy formulation.
Collaborate with cross-functional teams to define analytical requirements and assist in implementing data-driven business solutions ensuring compliance with laws and ethical standards.
1-2 years of experience in data analysis, preferably in business or financial analytics.
Proficiency in SAS, Python, SQL, and data visualization tools such as Tableau.
Bachelor's degree in a quantitative discipline like Statistics, Mathematics, Computer Science, Economics, or Business Analytics.
Experience Required: Not explicitly mentioned beyond the 1-2 years work experience; Notice period: Not explicitly mentioned.
Comfortable working in credit card or banking industry environments, understanding related business challenges and regulations.
Technically adept with both traditional analytical tools (SAS, Python, SQL) and potentially big data technologies (Hive, Impala, PySpark).
Able to translate complex data insights into clear communication for non-technical stakeholders and collaborate across functions to drive actionable outcomes.