Customs Analyst ensuring compliance with import/export regulations and collaborating with supply chain teams. Analyzing data and improving operational efficiency.
About the role
- Intermediate Level Decision Science Analyst analyzing data to improve member service experiences at USAA. Collaborating with business leaders and applying analytical techniques for actionable insights.
Responsibilities
- Leverages intermediate 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 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 senior/lead analysts.
- Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
- Supports identifying and gathering 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).
- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
- Adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
- Delivers analysis/findings in a manner that conveys understanding, influences up to mid level management, garners support for recommendations, drives business decisions, and influences business strategy.
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
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 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.
- 2 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance) 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 field.
- Demonstrates intermediate knowledge of mathematical and statistical techniques and approaches used to drive fact-based decision-making.
- Intermediate 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.
Benefits
- comprehensive medical, dental and vision plans
- 401(k)
- pension
- life insurance
- parental benefits
- adoption assistance
- paid time off program with paid holidays plus 16 paid volunteer hours
- various wellness programs
- career path planning and continuing education
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