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Tier-1 bank, metro location, mid-level experience but niche Adobe Analytics skill reduces mass competition.
Digital analytics skills transfer across industries, but banking domain requirement increases sector specificity.
Explicit 5–8 years plus mandatory Adobe Analytics, SQL/Python and banking domain knowledge increase screening rigidity.
Own the analysis and manipulation of large, complex internal and external data sets to support business strategy recommendations and implementations.
Document data requirements, conduct data collection, cleaning, exploratory analysis, and apply statistical models or algorithms including data visualization.
Specialize in digital analytics platforms such as Adobe Analytics and Google Analytics, supporting B2B business outcomes with predictive insights.
5-8 years of relevant experience in quantitative fields involving data analysis and problem solving.
Proficiency in SQL and Python for data retrieval and manipulation is essential.
Understanding of financial or banking business domain is mandatory.
Bachelor’s degree or equivalent experience required.
Experienced in handling complex analytical challenges independently with latitude for problem solving within a matrix organization.
Strong specialization in digital analytics tools like Adobe Experience Manager applications, Adobe Journey Optimizer, Adobe Target, Adobe RTCDP, and other digital analytics platforms.
Capable of translating business requirements into actionable analytics and fostering collaboration across cross-functional leadership.