USAA is enhancing its digital experience to better serve its members' evolving needs, and the marketing analytics team is expanding its focus to encompass paid media optimization to drive maximum efficiency and growth.
Requirements
- Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
- Intermediate and some 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.
- 2+ years experience in paid media analytics and in-platform experience.
- Web Analytics Tools: Google analytics, Adobe analytics
- Tagging: Teailum, GTM, etc.
- Journey analysis (mining clickstream & behavioral data).
- SQL required and python a plus.
- Predictive modeling experience
Responsibilities
- Leverages intermediate and some advanced business, analytical and technical knowledge to participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies.
- Applies advanced analytical techniques to solve business problems that are typically medium to large scale with 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 colleagues for peer review and mid-to-upper level 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.
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 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.
- 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance)
- 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 with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance).
- Must be in the office 4 days per week.
- Relocation assistance is not available for this position.
