Responsibilities

• Data Analysis & Insights: Conduct complex analyses and create reports to identify trends, uncover opportunities, and support strategic business decisions. Present findings that connect deep data insights to broader business objectives.
• Stakeholder Collaboration: Partner with marketing and business leaders to define analytical needs, translate them into technical requirements, and deliver actionable solutions and reporting. Collaborate closely with cross-functional teams, including ED&A, Private Bank, Wealth, Commercial, and Business Banking.
• Data Quality & Validation: Ensure data integrity through rigorous validation and testing. Proactively identify and resolve issues related to data bias, accuracy, or completeness.
• Optimization & Innovation: Use analytical techniques to identify business process improvements and operational optimizations through large-scale data analysis, automating where possible to improve efficiency and scalability.
• Ad Hoc & Strategic Support: Respond to dynamic business requests while maintaining consistency and scalability in reporting. Drive a culture of iteration, efficiency, and automation.
• Data Infrastructure Development: Build and maintain robust data pipelines, ensuring reliable data flow for analysis and visualization.
• Visualization & Storytelling: Develop and enhance dashboards using BI tools such as Tableau, Power BI, or Looker to convey insights effectively to senior leadership. Document and communicate analytic results, insights and recommendations to both technical and non-technical audiences.

Requirements

• Bachelor’s degree in a quantitative field (e.g., Finance, Mathematics, Statistics, Computer Science, Economics, Engineering, or Physical Sciences)
• 5+ years of professional experience in analytics, plus 1+ year in corporate strategy (preferably within Financial Services)
• Strong problem-solving and storytelling skills — ability to connect data insights to strategic recommendations
• Advanced proficiency with 3+ years experience in SQL, Python, and data visualization tools (Tableau, Power BI, or Looker)
• Experience with data querying, validation/testing, dataset generation, and building repeatable reporting
• Working knowledge of ETL/ELT processes, data warehouse architecture, and data pipeline tools (e.g., Airflow)
• Familiarity with cloud platforms (e.g., AWS) and database environments
• Hands ‑ on experience working with CRM data, including campaign, lead, account, and opportunity ‑ level data, to support marketing measurement, customer analysis, and performance reporting
• Advanced Excel and PowerPoint skills
• Strong project management and organizational abilities, with experience handling multiple priorities in dynamic environments
• Strong written/verbal communication skills and ability to translate analytic results into business implications and recommendations.
• Proven ability to manage confidential information with discretion

Preferred

• Master’s degree (e.g., MBA or equivalent quantitative discipline)
• Experience with marketing measurement approaches such as incrementality testing, experimental design, and attribution models; Exposure to statistical modeling and predictive analytics
• Experience with Salesforce, data lakes, and banking systems supporting front-line colleagues
• Experience with data automation and process optimization workflows

Benefits

• 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.