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.