Senior Decision Science Analyst – Bank Credit Card Analytics

• Provide decision support for business areas across the association
• Apply mathematical, statistical, scientific, and quantitative analytical approaches to business objectives
• Gather, manipulate, synthesize, integrate, and transform attributes, transaction, behavior, and other relevant data
• Draw conclusions and make insight-to-action recommendations that drive business change
• Participate in or lead cross-functional discussions on complex business objectives and solution strategies
• Solve medium- to large-scale business problems with significant strategic impact
• Translate recommendations into communication materials for management
• Use visualization techniques to make analysis understandable to less technical audiences
• Identify relevant, high-quality data sources through testing and exploratory data analysis
• Apply appropriate data hygiene techniques
• Document assumptions, methodology, validation, and testing for peer review and compliance
• Adopt emerging technologies affecting scientific and quantitative methodologies
• Deliver findings to influence management, business decisions, and strategy
• Provide subject matter expertise in operationalizing recommendations
• Monitor current data and analytics trends
• Identify opportunities for continued learning in data and analytics
• Ensure business risks are identified, measured, monitored, and controlled under risk and compliance policies

• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience
• 6 years of data & analytics experience; OR 4 years of data & analytics experience plus up to 2 years of progressive functional business-relevant experience for 6 years combined; OR an advanced quantitative analytics degree and 4 years of data/analytics or relevant functional business experience
• Advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
• Advanced knowledge of data analysis tools, data visualization, SQL, SAS, BI tools or other analysis software, and relevant industry data and methods
• Experience with new and emerging data sets and incorporating data wrangling/data munging into new insights
• Experience in a decision support analytical function is a plus
• Experience in Bank analytics is a plus
• Proficiency in SAS, SQL, Python, or R is a plus
• Experience in statistical modeling, including machine learning techniques and generative AI, is a plus
• Familiarity with Agile methodologies is a plus
• US military experience through military service or as a military spouse/domestic partner is a plus
• Must not require immigration support or visa sponsorship now or in the future

Demonstrates advanced skills in mathematical and statistical techniques to drive data-driven decision-making, utilizing data analysis tools and visualization methods to influence business strategy. Proficient in synthesizing complex data sets and providing actionable insights to support cross-functional business objectives.

• Data Analysis
• Statistical Modeling
• SQL
• SAS
• Data Visualization

• Mathematical Techniques
• Statistical Techniques
• Data Wrangling
• Machine Learning
• Generative AI
• Quantitative Analysis
• Data Hygiene Techniques
• Exploratory Data Analysis
• Decision Support
• Business Analysis

• Communication
• Problem Solving
• Collaboration
• Influencing
• Cross-Functional Leadership

• Data Analytics
• Bank Analytics
• Agile Methodologies
• Risk Management
• Compliance

• SAS
• SQL
• Python
• R
• BI Tools