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Tier-1 bank, mid-level generalist data role in metro with broad tool requirements increases competition.
Analytics and data management skills are broadly transferable across industries despite banking context.
Explicit 4-5 years requirement, specific analytics tool expectations, and banking compliance indicate high screening strictness.
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Apply specialized knowledge to monitor, assess, analyze, and evaluate data and processes with a focus on data management activities including database administration, data quality, analysis, and database architecture.
Execute routine operational and administrative tasks following defined procedures, including report preparation and data analysis with outputs reviewed by senior staff.
Develop knowledge of industry practices and contribute to identifying policy gaps, making recommendations related to data handling, with limited impact beyond own team.
4-5 years of relevant experience in data/information management or related analytics roles.
Bachelor's/University degree or equivalent experience.
Experience with analytic tools such as SAS E-miner, Knowledge Seeker, SPSS is required; experience with big data and machine learning tools (R, Python) is indicated.
Work Experience Required: 4-5 years relevant experience.
Emerging professional with developing expertise in data analysis, database management, and policy formulation within a structured team environment.
Comfortable performing routine and defined data management tasks under supervision with limited external interaction.
Capable of applying analytic tools and progressively expanding knowledge in big data and machine learning to support decision management functions.