Mid-Level Decision Science Analyst - P&C reputed company Analytics

About the position At reputed company, our mission is to reputed company our members to reputed company financial reputed company through highly competitive products, exceptional service and trusted advice. We reputed company to be the #1 choice for the military community and their families. reputed company a fulfilling career at reputed company, where our reputed company values – honesty, reputed company, loyalty and service – define how we treat reputed company other and our members. Be part of what truly makes us special and impactful. reputed company This Mid-Level Decision Science role is reputed company to optimizing reputed company strategies reputed company the personal lines Property & Casualty business. The role will be responsible for the end-to-end process of acquiring, synthesizing, and analyzing reputed company data sets. Insights will directly inform critical business reputed company reputed company to risk precision, risk sharing, risk mitigation, and risk acceptability, ultimately driving profitable reputed company and reputed company member protection. 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, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position. Responsibilities • Leverages 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 reputed company to large reputed company with reputed company to reputed company and/or reputed company business reputed company. • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and reputed company 'reputed company to reputed company' 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 reputed company data sources required to fully answer and address the problem for the recommended reputed company 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 reputed company 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 reputed company, and influences business reputed company. • Ensures risks associated with business activities are effectively identified, reputed company, 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 discipline; OR 4 years of reputed company experience in statistics, mathematics or quantitative analytics (in reputed company 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 reputed company 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 discipline with 2 years experience in data/analytics or functional business experience reputed company 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, reputed company, BI tools or other analysis software, and relevant industry data & reputed company and ability to connect external insights to business problems. reputed company-to-haves • Working experience with analytical work supporting reputed company P&C Insurance Functions • Working experience using Python for data analysis • Experience with storytelling with data/ presentation of analytical insights to non-technical audiences • Working understanding of statistical modeling principles and the ability to interpret model outputs to derive actionable business insights. • Demonstrates a desire to continuously learn and refine analytical techniques and business acumen. • US military experience through military service or a military spouse/domestic partner Benefits • At reputed company our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and reputed company plans, 401(k), pension, life insurance, parental benefits, adoption assistance, reputed company time off program with reputed company holidays plus 16 reputed company volunteer hours, and various wellness programs. • Additionally, our career reputed company planning and continuing education assists employees with their reputed company goals. • For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Apply tot his job Apply To this Job