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Tier-1 brand, metro location, and a mid-level generalist analytics role increase applicant competition.
Core analytics skills transfer well, but finance product and compliance knowledge raise domain specificity.
Explicit 4+ years requirement plus analytics, ML/NLP and compliance expectations create moderately strict screening.
Drive data and analytics initiatives within GPL and Wholesale Digital & Innovation teams by consulting on moderately complex business and technical challenges.
Perform data analysis to support strategic initiatives and collaborate with cross-functional teams to deliver accurate data and insights.
Manage data sourcing, integrity, and compliance, providing end-to-end analytics support for customer communications and identifying opportunities for system enhancements.
4+ years of analytics experience, or equivalent demonstrated through work experience, training, military experience, or education.
Not explicitly mentioned in the JD: Mandatory degree requirements or specific location constraints.
Experience with SQL and BI tools such as Tableau or PowerBI is clear but not marked strictly mandatory.
Understanding of compliance and risk management within financial environments.
Experienced in applying analytical, ML, and NLP techniques to translate multi-source data into actionable business insights.
Skilled in handling diverse data environments including relational/noSQL databases, Big Data technologies, and cloud-based infrastructure (Google Cloud Platform).
Capable of collaborating across business and technology domains to support financial products and ensure data-driven decision making in regulated contexts.