Decision Science Analyst Senior - P&C Data Analytics

The Opportunity

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations : San Antonio, TX;

Phoenix, AZ; Colorado Springs, CO; Chesapeake, VA; Plano, TX or Tampa, FL .

Relocation assistance is not available for this position.

The Pricing & UW Modernization Enablement Team is seeking several Decision Science Analyst Senior positions to support the Earnix platform's evolution within the Policy Modernization journey.

Our Decision Science Analyst Seniors meld their expertise in data and insurance practices to become an integral part of the USAA modernization journey.

They leveraging new technology platforms to enable advancements in Pricing and UW business processes through the use of advanced data and analytic techniques.

The ideal candidate will be a well-versed analytics consultant, excellent problem solver and able to jump in and work with internal and external teams to drive value within tight timeframes.

They should have a demonstrated ability to identify and document data needs through interpretation of business requirements.

You will also need to work seamlessly across business and IT teams to ensure that requirements are understood, well documented, and IT assets meet the ultimate business need.

Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and / or innovative / quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change.

The essence of work performed by the Decision Science Analyst involves gathering, manipulating, and synthesizing data (e.

g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

What you’ll do :

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.

What you have :

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.

What sets you apart :

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.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

What we offer :

Compensation : USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive.

You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

The salary range for this position is : $109,130 - $196,430.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

Benefits : At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness.

These benefits include 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, and various wellness programs.

Additionally, our career path planning and continuing education assists employees with their professional goals.