Deliver insights that support acquisition, retention, and product deepening across Consumer Banking
Analyze large, complex datasets to identify trends, opportunities, and risks
Source, integrate, and validate data from multiple enterprise systems
Design dashboards, visualizations, and ad hoc analyses that clearly communicate findings
Translate analysis into concise, business focused recommendations
Partner with stakeholders and data teams to provide a holistic view of performance
Monitor results of implemented recommendations and refine analysis over time
Ensure all data usage complies with risk, privacy, and data governance standards

Requirements

Bachelor’s degree in a related field or equivalent experience
Four to five years of statistical and/or data analytics experience
Experience applying advanced analytics, statistics, or predictive modeling to business problems
Strong capability working with large, complex datasets, including data extraction and validation
Proficiency with SQL; experience with Python or R preferred
Experience building dashboards and visualizations that drive business action
Ability to translate analytical findings into clear, actionable recommendations
Experience partnering with business stakeholders to define questions and influence decisions
Ability to manage multiple analytical initiatives in a dynamic environment
Familiarity with data governance, risk, and privacy standards, especially with customer data
Excellent written and verbal communication skills, including presenting to business partners.

Benefits

Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analyticsstatistical analysispredictive modelingdata extractiondata validationSQLPythonRdashboard designdata visualization

Soft Skills

communication skillsanalytical thinkingstakeholder engagementrecommendation translationmulti-taskingbusiness acumencollaborationproblem-solvingpresentation skillsadaptability

Certifications

Bachelor's degree