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USAA · 2 days ago
Decision Science Analyst Senior
Chesapeake, VA
Full-time
Hybrid
Senior Level
$109K/yr - $196K/yr
6+ years exp
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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 optimally 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 captures 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.
Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
Provides subject matter expertise in operationalizing recommendations.
Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data)
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).
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Qualification
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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 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.
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 such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline 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.).
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.
Preferred
Subject matter expertise in any or all Property & Casualty Lines of Business (Auto, Dwelling, Umbrella).
P&C industry knowledge specifically in the Pricing & Underwriting data space.
Experience in the data development process/life cycle within USAA is a plus.
IT development and data warehouse experience.
Knowledgeable about data engineering for Advanced/Predictive Analytics.
SQL, SAS, Snowflake experience required.
Extensive technical depth with the ability to quickly learn new tools.
3rd party data exploration experience.
Benefits
Comprehensive medical, dental, and vision plans
401(k) plan
Pension
Life insurance
Parental benefits
Adoption assistance
Paid time off program with paid holidays and 16 paid volunteer hours
Various wellness programs
Career path planning and continuing education assistance
Company
USAA
USAA is a financial services company.
10,001+ employees
H1B Sponsorship
USAA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (45)
2022 (160)
2021 (29)
Funding
Current Stage
Late StageLeadership Team
Dana Simmons
Executive Vice President, CEO Chief of Staff
Chris Flint
SVP and General Manager, Life and Health Insurance
Recent News
2024-05-17
Coverager - Insurance news and insights
2024-05-01
Company data provided by crunchbase
