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Tier-1 brand, metro location, mid-level 2–5yrs, generalist analytics title and broad tech stack.
Requires banking/cards analytics knowledge (P&L, campaign optimization), making industry experience moderately important.
Explicit 2–5 years requirement and mandatory PySpark/Python/SAS/SQL increase screening rigor.
Gather and analyze operational data from various cross-functional stakeholders to assess past business performance.
Identify data patterns and trends to provide actionable insights for business planning, process improvement, and strategic decision-making.
Work with internal and external partners to build, implement, track, and improve decision strategies, ensuring compliance with policies and regulations.
2-5 years of relevant work experience in business analytics or related field.
Bachelor's degree or equivalent experience required.
Technical skills mandatory: PySpark, Python, SAS, SQL.
Preferred background in Credit Card Marketing analytics; minimum experience in Consumer Banking analytics or Financial Analytics for consumer banking.
Proven experience in analyzing and interpreting complex financial and marketing data specifically within banking or credit card domains.
Ability to independently solve variable, complex problems with some latitude and apply professional judgment in data interpretation.
Experience in using advanced data analytics tools and methodologies to drive business strategy and operational improvements.