Senior Decision Science Analyst

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

Job summary

Jobtailor is seeking a data analytics professional to provide decision support for USAA business areas. You will apply advanced analytical techniques, gather and transform data, and synthesize findings into actionable insights for management.

You will collaborate with cross-functional teams, translate results into clear communications, and stay current on data science trends. The role emphasizes data hygiene, documentation, and scoping emerging technologies while delivering impact on business

Qualifications

• 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 and analytics experience; OR at least 4 years of data and 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 for 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 datasets, including data wrangling and data munging
• Experience with advanced analytics and data science solutions derived from member feedback and Voice of Customer (VoC) CX data
• Ability to synthesize member feedback with operational, behavioral, financial, and market data
• Excellent communication skills and ability to translate data and trends into digestible narratives
• US military experience gained through military service or as a military spouse/domestic partner is identified as a differentiator
• Must not require visa sponsorship or immigration support now or in the future

Responsibilities

• Provide decision support for business areas across USAA
• Apply mathematical, statistical, scientific, and quantitative analytical techniques to solve complex business problems
• Gather, manipulate, integrate, transform, and synthesize data, models, transactions, behaviors, and other relevant information
• Draw conclusions and make insight-to-action recommendations that drive business change and strategy
• Lead or participate in discussions with cross-functional teams to understand complex business objectives and influence solution strategies
• Translate recommendations into communication materials for management
• Use data visualization to clarify analysis for less technical audiences
• Identify and gather relevant, high-quality data sources through testing or exploratory data analysis
• Apply data hygiene techniques to disparate data sources
• 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
• Stay informed on data and analytics trends including cloud, data mining, Python, neural networks, sensor data, IoT, and streaming/near-real-time data
• Pursue ongoing formal and informal learning in data and analytics
• Identify, measure, monitor, and control risks in accordance with policies and procedures

Skills

Data Analysis

Statistical Techniques

Data Visualization

SQL

Data Wrangling

Education

Bachelor's degree or higher in Economics, Finance, Statistics, Math, OR related quantitative field

Tools

SAS

BI Tools

Cloud Technologies

Neural Networks

IoT

Streaming Data

Data Mining

Job description

• Provide decision support for business areas across USAA
• Apply mathematical, statistical, scientific, and quantitative analytical techniques to solve complex business problems
• Gather, manipulate, integrate, transform, and synthesize data, models, transactions, behaviors, and other relevant information
• Draw conclusions and make insight-to-action recommendations that drive business change and strategy
• Lead or participate in discussions with cross-functional teams to understand complex business objectives and influence solution strategies
• Translate recommendations into communication materials for management
• Use data visualization to clarify analysis for less technical audiences
• Identify and gather relevant, high-quality data sources through testing or exploratory data analysis
• Apply data hygiene techniques to disparate data sources
• 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
• Stay informed on data and analytics trends including cloud, data mining, Python, neural networks, sensor data, IoT, and streaming/near-real-time data
• Pursue ongoing formal and informal learning in data and analytics
• Identify, measure, monitor, and control risks in accordance with policies and procedures

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 and analytics experience; OR at least 4 years of data and 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 for 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 datasets, including data wrangling and data munging
• Experience with advanced analytics and data science solutions derived from member feedback and Voice of Customer (VoC) CX data
• Ability to synthesize member feedback with operational, behavioral, financial, and market data
• Ability to act as a subject matter expert for member feedback survey program data
• Excellent communication skills and ability to translate data and trends into digestible narratives
• US military experience gained through military service or as a military spouse/domestic partner is identified as a differentiator
• Must not require visa sponsorship or immigration support now or in the future

Core Competencies

Demonstrates advanced skills in mathematical and statistical techniques for data analysis and decision-making, with a strong ability to synthesize complex data into actionable insights. Proficient in data visualization and communication, effectively translating analytical findings for diverse audiences.

Highest-signal resume keywords

• Data Analysis
• Statistical Techniques
• Data Visualization
• SQL
• Data Wrangling

Hard Skills

• Mathematical Techniques
• Statistical Techniques
• Data Analysis
• Data Visualization
• Data Wrangling
• Data Munging
• Advanced Analytics
• Quantitative Analysis
• Business Analysis
• Operational Research

Soft Skills

• Excellent Communication
• Collaboration
• Influencing Skills
• Problem-Solving

Industry Keywords

• Data Science
• Voice of Customer (VoC)
• Member Feedback
• Business Strategy
• Risk Management

Tools & Technologies

• SQL
• SAS
• BI Tools
• Data Mining
• Cloud Technologies
• Neural Networks
• IoT
• Streaming Data
• Data Hygiene Techniques
• Exploratory Data Analysis