Principal Data Analyst- Commercial Banking

Citizens Financial GroupWestwood, MA
2dHybrid

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.

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.

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.
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