Back
Tier-1 brand, metro location, broad generalist analytics skillset (SAS/Python/SQL/Tableau) increases competition.
Analytics skills are transferable, though banking/credit card experience is preferred, slightly increasing domain specificity.
Explicit 1-2 years and mandatory SAS/Python/SQL/Tableau create moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the entire data lifecycle: processing, analysis, quality assurance, and insights reporting for business analytics.
Generate data-driven recommendations to identify opportunities and define business challenges within the credit card domain.
Collaborate cross-functionally to define analytic requirements and support the implementation of data-driven business strategies impacting business outcomes.
1-2 years of relevant data analysis experience, preferably in business or financial analytics.
Proficiency in SAS, Python, SQL, and data visualization tools such as Tableau.
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or equivalent.
Experience in banking or credit card industry encouraged but not mandatory.
Comfortable managing complex data sets and delivering clear insights to non-technical stakeholders.
Able to perform analysis guided by precedents and technical expertise within a regulated financial environment.
Experience or interest in big data technologies and familiarity with Generative AI tools advantageous for the role.