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Tier-1 brand, mid-level generalist role, and metro location increase competition.
Core SQL/Python data skills are transferable, but banking domain preference raises sensitivity moderately.
Explicit 5-8 years requirement plus mandatory SQL and Python increases shortlisting strictness.
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Own day-to-day data activities including database administration, data analysis, maintenance, and quality management.
Produce routine operational outputs such as analyses and reports following defined procedures.
Assess business risks related to data and ensure compliance with laws, regulations, and company policies to protect the firm's reputation and assets.
5-8+ years of relevant experience in data management or analysis.
Mandatory proficiency in SQL and Python.
Bachelor’s or university degree or equivalent experience.
Experience in banking domain preferred; familiarity with AI tools such as Dataiku and Snowflake is advantageous.
Experienced in handling routine and complex data problems with some autonomy under senior review.
Strong analytical and logical skills with strategic thinking capability to engage cross-functional resources.
Comfortable working within defined procedures while developing broader business context understanding, preferably in a banking environment.