Job Description

Job Requirements

About USAA

USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level.

Primary Responsibilities:

Identifies and manages existing and emerging risks that stem from business activities and the job role.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled.
Follows written risk and compliance policies and procedures for business activities.
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 oversees 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).
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.
Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.
Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge.
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). ).
Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights

When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses.

Minimum Requirements:

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 work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required.
8 years of progressive functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, etc.) to include 6 years of experience in data & analytics Or Advanced degree in Business, Science, Finance, Mathematics, Economics or relevant discipline and 6 years of experience in data/analytics or business relevant function (directly related functional business experience within the industry of responsibility is acceptable for 3 of these years)
3 years of direct and/or indirect management experience.
Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.
Expert 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.

Preferred Experience:

Prior experience with planning and forecasting marketing effectiveness based on the marketing budget allocated by the business
Prior planning and forecasting experience focused on expected results driven by a set budget
Experience implementing emerging technology and techniques for analytical purposes
Prior digital marketing analytical experience in Insurance; knowledge of marketing analytical process and measurement framework
Ability to work on multiple projects in a fast-paced environment with limited supervision
Strong relationship management and negotiation skills; ability to influence senior leadership and drive business results
Testing experience – designing, leading, executing, and analyzing results