In this role you’ll be embedded with digital product managers, helping decide what we build, who we target, and how we grow.
You’ll turn data into clear decisions that drive account growth, conversion, and customer engagement for millions of consumers across our digital banking experience.
Why This Role Stands Out
Influence strategy – Your insights directly shape the product roadmap
Own real problems – Start with ambiguity, end with recommendations
Work on what matters – Acquisition, conversion, activation, growth
High visibility – Present to and influence senior leadership
Build the function – Help modernize analytics and define best practices
What You’ll Do
Partner with product managers to define problems, metrics, and priorities
Analyze digital funnel performance and identify growth opportunities
Lead deep-dive analyses across large datasets to find root causes and insights
Deliver clear, executive-ready recommendations
Define and evolve KPIs across the digital customer journey
Improve how analytics is done—tools, methods, and standards
What You Bring
Strong problem-solving mindset—you ask the right questions
Experience working with large datasets (SQL required)
Ability to turn data into clear, actionable insights
Comfort working in ambiguity and owning outcomes end-to-end
Strong communication skills and ability to influence decisions
The Impact
Your work will directly improve:
Digital account acquisition and conversion
Customer activation and early engagement
End-to-end digital experience
Basic Qualifications:
Bachelor’s degree in business, computer science, mathematical disciplines, finance, economics, or other technical degree.
Minimum of 3 years of experience in analytics/data analysis.
Preferred Qualifications:
Minimum of 2 years of experience in financial services.
Strong knowledge and working experience in database querying with SQL.
Strong knowledge and working experience in data manipulation tools such as R, or Python.
Experience presenting analytical findings to a non-technical audience to guide business decision-making.
Advanced degree (Master's, Ph.D., JD, etc.).
Experience working with data mining models, structures, theories, principles, and practices, including machine learning, statistics and text mining techniques
Experience with Business Intelligence tools, such as Tableau
Experience with AWS Sagemaker and Athena
Excellent skills with MS Word, Excel and PowerPoint.

Product Analyst

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