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Generalist early-mid analytics role at a known analytics firm increases applicant competition.
Core analytics skills transfer across industries, but banking/marketing domain preference raises fit sensitivity.
Mandatory Python, analytics, domain and client delivery experience create moderate filtering rigor.
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Lead and manage end-to-end analytics projects with a focus on banking and financial sectors including marketing campaign optimization.
Develop analytical models and tools using strong Python skills to generate business insights and solve client challenges.
Engage directly with clients for requirement gathering, presenting findings, and ensuring successful project delivery within timelines and budgets.
Approximately 2 years of experience in banking analytics and/or marketing analytics.
Strong proficiency in Python for data analysis and model development.
Experience in client management and project delivery in analytics domain.
Bachelor's degree in a related field such as Computer Science, Data Science, or Business Analytics.
Experienced working at the intersection of business and data analytics, particularly in banking/financial services marketing.
Capable of managing projects end-to-end, including client interactions, delivery management, and mentoring junior team members.
Comfortable applying statistical techniques and programming within analytics teams to solve complex business problems.