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Tier-1 brand, generalist analytics title, mid-level experience and metro location increase applicant competition.
Core analytics skills are transferable, but banking compliance and domain knowledge increase hiring sensitivity.
Explicit 2+ years requirement plus mandatory Python/PySpark/SQL and BI skills make screening moderately strict.
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Build and maintain scalable reporting solutions and automate processes to enhance operational efficiency.
Perform statistical analysis to identify trends, support strategic decision-making, and provide data-driven recommendations to improve revenue, reduce expenses, and ensure compliance.
Collaborate with business lines, technology teams, and consultants to design analytics tools and ensure adherence to data governance and risk management requirements.
2+ years of experience in analytics or equivalent through work experience, training, military experience, or education.
Proficient in Python, PySpark, SQL, and experienced with large datasets.
Experience with BI tools such as Power BI or Tableau.
Work Experience Required: 2+ years in Analytics.
Experienced in analytics focused on insight generation, automation, and data visualization in a banking or financial services context.
Capable of working with cloud environments like GCP, Azure, or AWS (knowledge preferred but not mandatory).
Strong communication skills to convey complex results and collaborate effectively with cross-functional teams and partners.