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Tier-1 brand, metro location, mid-level generalist data role attracts many qualified applicants.
Core data skills are transferable, but banking domain knowledge mildly increases sensitivity.
Explicit 2–5 year requirement plus specific analytics tools increases screening strictness.
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Responsible for database administration, data analysis, maintenance, data quality, and database architecture/design engineering within defined procedures.
Perform routine operational or administrative data tasks including analysis and report preparation with outputs reviewed by senior staff.
Identify policy gaps, analyze data inconsistencies, and make recommendations on policies, procedures, or practices with a limited impact restricted to own team.
2-5 years of relevant experience in data/information management or related analytical roles.
Proficiency with analytic tools such as SAS E-miner, Knowledge Seeker, SPSS; familiarity with big data and machine learning tools (R, Python) is expected.
Bachelor's degree or equivalent experience is required.
Work Experience Required: 2-5 years relevant experience.
Experience working under supervision with clearly defined operational tasks and procedures, suitable for a developing professional role.
Ability to engage and coordinate with resources outside immediate control to achieve objectives.
Familiarity with decision management or data/information management domains within financial services or similar regulated environments.