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USAA · 15 hours ago

Mid Level Decision Science Analyst - Member Value

Tampa, FL

Full-time

Onsite

Mid Level

$94K/yr - $179K/yr

4+ years exp

USAA is dedicated to empowering its members to achieve financial security through exceptional products and service. The Mid Level Decision Science Analyst will support end-to-end analytics to improve member satisfaction and service strategies, applying mathematical and statistical techniques to make actionable recommendations.

BankingFinancial ServicesInsuranceVenture Capital

No H1B

Responsibilities

Uses 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 resolves appropriate data hygiene techniques to apply

Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements

Understands and 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 mid to upper 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

Qualification

Data analysisStatistical techniquesSQLData visualizationQuantitative analyticsCommunication skillsProblem-solvingTeam collaboration

Required

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

4 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 with 2 years experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance)

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

Preferred

An interest in supporting our military community or military families is a plus

An advanced degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Operations Research, Data Analysis, Data Science, or a related area

Familiarity with data generated from various member touchpoints, including digital channels and contact centers, to understand the holistic member experience

An aptitude for learning and applying analytical techniques to explore data and identify trends

Good communication skills, with the ability to explain findings simply and clearly