Principal Data Analyst- Commercial Banking

About the position The Principal Data Analyst – Commercial Banking is a senior, individual‑contributor role supporting Commercial Banking . This role serves as a analytics partner across Commercial Banking with a primary focus on enabling data and analytics that support customer onboarding, customer servicing, and treasury management . This position works closely with teams supporting finance, sales, origination, underwriting, and servicing systems , as well as core banking platforms, to ensure analytics solutions are aligned to Commercial Banking processes, systems, and transformation goals. Responsibilities • Partner with Product, Technology, Operations, and Data Engineering teams aligned to Origination systems, Underwriting platforms, Servicing systems, Financial reporting systems, CRM. • Translate Commercial Banking business and operational requirements into analytical requirements, metrics, and insights. • Deliver full customer life cycle analytics, supporting - Customer onboarding journeys, Ongoing customer servicing, Treasury management capabilities & usage, Customer Profitability & Pricing. • Perform complex data analysis across large, multi‑source Commercial Banking datasets. • Design and develop analytical datasets, KPIs, and reporting aligned to RTB outcomes. • Identify data quality, completeness, and lineage issues; partner with data engineering teams to remediate. • Provide analytical input and support for Commercial Banking system modernization efforts. • Communicate insights and recommendations clearly to senior business and technology stakeholders. • Ensure analytics solutions comply with enterprise data governance, risk, and control standards. Requirements • 8+ years of experience in data analytics, or advanced analytics roles working with cloud compute infrastructure including AWS and/or Snowflake • Demonstrated experience supporting Commercial Banking or Corporate Banking business functions. • Hands‑on experience working with origination, underwriting, and servicing systems. • Experience supporting analytics for customer onboarding, customer servicing, and treasury management. • Strong experience with core banking platforms and associated Commercial Banking ecosystems. • Advanced SQL & Python programming skills and experience working with large, complex enterprise datasets. • Proven ability to translate business needs into analytical solutions. • Strong written and verbal communication skills with experience engaging senior stakeholders. • Demonstrated experience leading impactful strategic data & analytics program(s), as well as coaching and mentoring junior colleagues. Nice-to-haves • Experience supporting large‑scale transformation or modernization programs. • Familiarity with data engineering concepts, data modeling, and analytical product delivery. • Experience working in Agile or product‑oriented delivery environments. • Experience in regulated financial services environments. • Some experience with statistical learning / econometrics / machine learning. Apply tot his job Apply To this Job