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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Decision Science Analyst Senior - **Company:** USAA - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Salary:** $114,080.0 - $218,030.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Artificial Neural Networks, Cloud Computing, Data Files, Data Mining, Data Visualization, Python (Programming Language), SAS (Software), SQL Databases, Data Streaming, Data Processing, Kaggle, Data Analytics - **Published:** July 10, 2026 - **Apply:** https://www.phoenixjobs.com/job.asp?id=3316082498&tx=DT11202UYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e.P&C, Bank, Finance, Marketing, etc.). * Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. * Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. * Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: * Able to construct data-driven narratives employing enterprise-wide information to capture holistic performance * Demonstrated ability to Identify high-performing and underperforming audience and use of models for the same * Able to determine opportunities to optimize channel mix and spend * Strong ability to develop and apply data-driven segmentation strategies based on demographics, behavior, and engagement signals. * Able to activate modeled audiences (e.g., lookalike or propensity-based) to expand reach and improve targeting precision. * Experience using predictive modeling to identify high-value and high-intent audience segments * Experience Identifying at-risk members early and implement proactive retention strategies * US military experience through military service or a military spouse/domestic partner ## Description * Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies. * Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy. * Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change. * Translates recommendation into communication materials to effectively present to various levels of management. * Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. * Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). * Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. * Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. * Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. * Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy. * Provides subject matter expertise in operationalizing recommendations. * Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data). * Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g.Certifications or advanced coursework). * Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. ## Related Videos - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Machine learning 101: Where to begin?](https://www.wearedevelopers.com/videos/1014-machine-learning-101-where-to-begin) - [Anomaly Detection - Using unsupervised Machine Learning for detecting anomalies in customer base](https://www.wearedevelopers.com/videos/6-anomaly-detection-using-unsupervised-machine-learning-for-detecting-anomalies-in-customer-base) - [Data Mining Accessibility](https://www.wearedevelopers.com/videos/802-data-mining-accessibility) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)