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Tier-1 brand, metro location, and popular mid-level analytics title amplify candidate competition.
Specialized digital analytics and banking domain expertise make background transferability limited.
Explicit 5-8 years plus specialized Adobe analytics and banking domain knowledge required.
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Manage and analyze large, complex data sets to evaluate and support business strategies focused on business-to-business outcomes.
Use tools like SQL and Python for data collection, cleaning, exploratory analysis, and predictive modeling involving digital analytics platforms such as Adobe Analytics and Google Analytics.
Document data requirements and apply statistical models, algorithms, and data visualization techniques to improve key business metrics, particularly within financial or banking contexts.
5-8 years of relevant experience in analytics or a quantitative field.
Proficiency in data retrieval and manipulation using SQL and Python.
Experience with digital analytics platforms including Adobe Analytics, Google Analytics, and familiarity with Adobe Experience Manager applications.
Bachelor's degree or equivalent experience in a relevant field.
Experienced in applying analytical and problem-solving skills independently to complex business problems.
Comfortable working with cross-functional teams in a matrix environment, emphasizing communication and partnership-building.
Background or understanding of financial/banking business environment, leveraging digital analytics and data science tools including ML & AI concepts.