Principal Data Analyst- Commercial Banking

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. Key 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. Required Qualifications 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. Preferred Qualifications 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. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position is $140,000-$170,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience. We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits . # LinkedIn -Citizens1