USAA seeks to empower its members to achieve financial security through highly competitive products, exceptional service, and trusted advice. The Decision Science Analyst Senior - Member Value role aims to transform member service experiences by supporting end-to-end analytics to uncover insights that improve member satisfaction and support service strategies.
Requirements
- 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.
- 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.
- Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
Responsibilities
- 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 resolves appropriate data hygiene techniques to apply.
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; 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 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.).
- We offer a flexible work environment that requires an individual to be in the office 4 days per week.
- Relocation assistance is not available for this position.
- USAA does not provide visa sponsorship for this role.
