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Strong employer brand and generalist analytics remit with popular tooling increases candidate competition.
Analytics and data engineering skills transfer across industries, though banking risk and compliance increase domain specificity.
Explicit 7+ years requirement plus mandatory technical skills and governance experience increases screening strictness.
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Advise senior leadership on analytical strategies for complex business and technical challenges across multiple enterprise data sources.
Lead development and delivery of large-scale, innovative analytics solutions involving exploration, prediction, and prescription using advanced techniques and modern data architectures.
Own data modernization initiatives including data governance, quality, lineage, and transitioning to cloud-based scalable data ecosystems.
7+ years of analytics, data science, reporting, financial modeling, or statistics experience.
Advanced proficiency with SQL, Python, Power BI, and Alteryx required.
Hands-on experience with modern data platforms like Databricks and cloud platforms (Google Cloud Platform, BigQuery) essential.
Master’s degree or higher in a quantitative, technical, or related discipline preferred (not mandatory).
Senior-level analytics leader capable of autonomous end-to-end ownership across data engineering, data science, and business analytics domains in large enterprises.
Experienced in advanced statistical and machine learning techniques applied to complex, multi-source datasets to generate executive-level insights and recommendations.
Proven ability to drive data modernization, implement governance and data management best practices, and influence senior stakeholders including executives, regulators, and cross-functional teams.