Principal Data Analyst

Citizens Bank•Columbus, OH

1h•$132,000 - $150,000•Onsite

About The Position

Join the Consumer Lending Data & Analytics team as a Principal Data Analyst, where you will play a critical leadership role in driving analytics execution and decisioning strategy across Credit Card, Home Equity (HELOC), and Personal Lending products. This is a highly visible, high-impact role for a strong analytical leader who combines technical expertise with the ability to lead day-to-day execution across a team of analysts. You will serve as a key partner to business, risk, and technology stakeholders while helping scale analytics capabilities across Consumer Lending. The ideal candidate is a highly independent problem solver who thrives in ambiguity, provides leadership to both onshore and offshore analysts, and can translate complex business needs into actionable analytical solutions.

Requirements

5+ years of experience in analytics, business intelligence, decisioning analytics, data science, or related disciplines
Experience supporting lending, credit, consumer banking, or financial services organizations
Experience leading analysts, reviewing analytical work products, or coordinating execution across teams
Demonstrated success operating independently in fast-paced environments with limited direction
Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field
Advanced SQL proficiency
Strong Python skills
Ability to independently investigate, validate, and resolve complex business questions
Strong analytical and problem-solving capabilities
Ensures data quality and proactively identifies data integrity concerns
Independently drives work from concept through implementation
Leads day-to-day analytics execution with minimal supervision
Provides direction, coaching, and oversight to junior analysts
Capable of balancing strategic priorities with hands-on execution
Thrives in environments where direction may not always be fully defined
Understands business context and can identify next steps proactively
Demonstrates strong judgment and an ability to "connect the dots" across multiple information sources
Anticipates challenges before they occur and proactively develops solutions
Builds strong stakeholder relationships across multiple departments
Effectively translates technical findings into business decisions
Influences stakeholders through insight-driven recommendations
Communicates effectively with both technical and senior business audiences
Provides concise updates on priorities, progress, risks, and recommendations
Capable of presenting complex analytical concepts in a simple, actionable manner
Quickly learns new tools, systems, products, and business processes
Demonstrates intellectual curiosity and continuous improvement mindset
Adapts to new challenges and evolving priorities

Responsibilities

Lead analytics supporting Consumer Lending decisioning strategies across Credit Card, Home Equity (HELOC), and Personal Lending products
Translate business questions and strategic objectives into structured analytical approaches and actionable recommendations
Perform hands-on analysis, testing, validation, and performance monitoring to support decisioning effectiveness
Deliver high-quality analytical outputs with minimal oversight while proactively managing risks, dependencies, and competing priorities
Serve as the day-to-day analytics lead for assigned Consumer Lending initiatives
Coordinate and oversee execution across analysts supporting the POD
Provide formal leadership and guidance to junior and offshore analysts, including workload prioritization, quality review, coaching, and development
Drive accountability for deliverables while ensuring consistency, quality, and timely execution
Act as a key liaison across business, risk, technology, analytics, and external partners
Communicate analytical findings and recommendations effectively to both technical and non-technical audiences
Build trusted relationships with stakeholders and provide strategic insights that influence business decisions
Identify opportunities for automation, process enhancement, scalability, and operational efficiency
Support model monitoring, validation, governance, and performance management activities
Promote best practices in analytics execution, data quality, and decisioning support