Empowering USAA members to achieve financial security through highly competitive products, exceptional service, and trusted advice by transforming member service experiences through in-depth, end-to-end analytics
Requirements
- Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
- Experienced 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
- Ability to connect external insights to business problems
- Strong proficiency in applying statistical modeling, machine learning, and quantitative analysis techniques
- Experience with Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data
- Knowledge of data wrangling, data munging
- Experience with data and analytics tools such as Coursera, Udemy, Kaggle, Code Up
Responsibilities
- Leverages expert business, analytical and technical knowledge to 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 large scale with significant impact to current and/or future business strategy
- Organizes and leads all aspects of the development of requirements/resources necessary to meet established objectives
- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change
- Translates recommendation into communication materials to effectively present to all 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)
Other
- 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 field
- 8 years of data & analytics experience
- 3 years of direct and/or indirect management experience
- Prior U.S. military service or being a military spouse/domestic partner is highly valued
- USAA does not provide visa sponsorship for this role
