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Required Skills/Experience:
* 3+ years of experience in quantitative analytics including marketing analytics, financial modeling, applied statistics, or equivalent.
* 3+ years of experience in Python, SQL and/or similar programming languages with strong skills in data manipulation, querying, and visualization.
* Strong understanding of statistical techniques, including hypothesis testing, regression analysis, correlation, and variance analysis.
* Experience or exposure to data and analytics in banking and/or financial Services industry; understanding of business banking across deposits, lending and cash flow solutions preferred.
* Experience with marketing measurement, campaign sizing, customer segmentation, and experimental test design.
* Experience in analyzing data from multiple marketing channels, including direct mail, email, paid digital, SEM, and owned channels.
* Strong written and verbal communication skills required with an ability to successfully communicate analytic results, insights, and resulting business implications to non-technical business partners.
* Strong sense of ownership, relentless curiosity and self-driven approach to problem solving.
* Ability to work in a team environment and collaborate with colleagues who have a background in statistics, database development/maintenance, and technology.
* Experience working on Agile teams preferred.

Education, Certifications and/or Other Professional Credentials:
* Bachelor's Degree in statistics, economics, computer science, engineering or similar quantitative field required; master's degree preferred.