Principal Data Analyst

Citizens Financial Group•Columbus, OH
•Hybrid

About The Position

Citizens’ Decision Science organization is seeking a Principal Data Analyst to lead high-impact analytics initiatives that turn complex business questions into scalable data solutions, actionable insights, and measurable business outcomes. The role owns the development, implementation, and periodic updating of Net Present Value (NPV) models for the Consumer Deposits portfolio, shapes analytic strategy, guides project execution, and partners with senior business stakeholders. The Principal Data Analyst leads analytics projects from problem framing through delivery, develops profitability-related analytic products, and works across Analytics, Technology, Finance, Product, Risk, Data, and other teams. The role requires building flexible, modular, well-governed solutions that support customer, product, pricing, marketing, and strategic decisions.

Requirements

  • Bachelor’s degree in statistics, economics, mathematics, engineering, physics, computer science, or a related quantitative field.
  • At least 7 years of experience delivering analytic insights, business data analysis, statistical analysis, or related data-driven solutions in a complex business environment.
  • Ability to independently lead complex analytics projects, manage competing priorities, and deliver high-quality outcomes with minimal oversight.
  • Strong proficiency with SQL, Python, and other open-source or enterprise tools used for data analysis, analytic dataset development, automation, and insight generation.
  • Experience developing cash-flow, profitability, pricing, valuation, or customer-lifetime-value models.
  • Ability to build partnerships, anticipate business needs, shape strategic outcomes, influence stakeholders, and explain complex analytical concepts to technical and non-technical audiences.
  • Curiosity about the business, including how business processes are reflected in enterprise data and how analytics can improve customer, operational, financial, or strategic outcomes.
  • Experience designing scalable, cross-functional analytic solutions with attention to data quality, sample construction, methodology, documentation, controls, and business relevance.
  • Experience mentoring analysts and sharing expertise across teams.

Nice To Haves

  • An advanced degree.

Responsibilities

  • Own Deposit Net Present Value (NPV) calculations, methodology, and improvement strategy.
  • Evaluate assumptions used to extrapolate customer behavior beyond the observed measurement period and assess how those assumptions affect NPV estimates.
  • Lead multiple high-priority analytics projects from problem framing through delivery, ensuring solutions are accurate, timely, scalable, and aligned with business strategy.
  • Translate ambiguous business questions into data requirements, analytic approaches, reusable datasets, and profitability-related analytic products.
  • Partner directly with business stakeholders to anticipate needs, shape priorities, influence direction, and maintain alignment and trust throughout projects.
  • Collaborate across Analytics, Technology, Finance, Product, Risk, Data, and other teams to design flexible, modular, well-governed analytic solutions.
  • Mentor analysts, share expertise across teams, and improve the quality, consistency, and maturity of analytics delivery.
  • Identify new opportunities, propose analytical approaches, incorporate feedback, and continuously improve processes, products, and outputs.

Benefits

  • Competitive pay
  • Comprehensive medical coverage
  • Dental coverage
  • Vision coverage
  • Retirement benefits
  • Maternity and paternity leave
  • Flexible work arrangements
  • Education reimbursement
  • Wellness programs
  • Paid time off policy that exceeds mandatory paid sick or paid time-away policies in every U.S. local and state jurisdiction
  • Opportunity to earn an annual discretionary bonus
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