Senior Decision Science Analyst – Bank Credit Card Analytics

Jobtailor; Arizona; On-site; USD 90,000 - 130,000; Full time

Job summary

Jobtailor in the United States (Arizona) seeks a quantitative analytics professional to provide decision support and drive business change. You will gather, transform, and analyze data; translate insights into management-ready recommendations; and present findings using accessible visuals to varied stakeholders.

Required are strong statistical methods, SQL/SAS proficiency, and experience with data wrangling and visualization.

Qualifications

• Bachelor's degree (or 4 years of related education/experience) in a quantitative field.
• 6 years of data & analytics experience; or 4 years plus up to 2 years of related experience.
• Advanced skills in mathematical and statistical techniques used to drive decisions.
• Advanced knowledge of data analysis tools, SQL, SAS, BI tools, and related methods.
• Experience with new data sets and data wrangling for insights.
• SAS, SQL, Python or R proficiency is a plus.
• Experience in decision-support analytics and bank analytics is a plus.
• Familiarity with Agile methodologies is a plus.
• US military experience a plus.
• Must not require immigration sponsorship now or in the future.

Responsibilities

• Provide decision support for business areas across the association.
• Apply analytical approaches to business objectives to drive outcomes.
• Gather, manipulate, and transform data attributes and transactions.
• Draw insights and recommendations to drive management decisions.
• Lead cross-functional discussions on complex objectives and strategies.
• Translate recommendations into management communications.
• Use visualization to explain analyses to non-technical audiences.
• Identify high-quality data sources through testing and EDA.
• Document assumptions, methodology, and validation for peer review.
• Monitor data trends and opportunities for ongoing learning.

Skills

Data Analysis

Statistical Modeling

SQL

SAS

Data Visualization

Education

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

Tools

SAS

SQL

Python

R

BI Tools

Job description

• 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

Requirements

• 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

Core Competencies

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.

Highest-signal resume keywords

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

Hard Skills

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

Soft Skills

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

Industry Keywords

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

Tools & Technologies

• SAS
• SQL
• Python
• R
• BI Tools