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Mid-level marketing analytics with common SQL/Python/PowerBI skills in metro settings creates medium applicant competition.
Banking domain expertise requirement makes candidate transferability across industries limited and domain-sensitive.
Mandatory Power BI, SQL and Python plus banking domain expertise increases screening strictness significantly.
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Deliver data-driven insights and campaign performance tracking for unsecured lending portfolios in the US banking domain.
Lead and manage marketing analytics initiatives including dashboard development, strategy evaluation, and ad-hoc analyses to optimize revenue, expenses, and customer experience.
Provide actionable recommendations and communicate findings to senior leadership; manage projects independently and mentor junior team members.
Expertise in Marketing Analytics within the Banking domain, specifically unsecured lending portfolios.
Proficient in Power BI (dashboarding and visualization), SQL, and Python (mandatory data extraction and advanced analytics skills).
Experience with marketing analytics or relevant financial services domain work experience: Not explicitly mentioned in the JD.
Graduation degree (field not explicitly specified).
Experienced in handling strategic and tactical analytics for US banking marketing/product/finance teams, especially around cards P&L and campaign management.
Capable of independently managing projects, developing actionable insights for senior stakeholders, and mentoring junior team members.
Familiarity with advanced analytics tools beyond mandatory (Alteryx preferred) and comfortable working in a global client context.