Decision Science Analyst I (Mid-Level) - P&C Product Competitive Intelligence

Why reputed company 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 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, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. This Decision Science Analyst will be part of the P&C Competitive Intelligence team. reputed company focuses on understanding reputed company's P&C Competitors from a product and pricing reputed company to help our business partners reputed company the most informed business reputed company. reputed company decision support for business areas across the reputed company. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and reputed company 'reputed company to reputed company' recommendations to answer business objectives and reputed company 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 reputed company recommendations resulting in implementable strategies. What youll do: 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 tackle 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 reputed company the appropriate change. Translates recommendation into communication materials to optimally 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 captures 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 embraces 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. 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 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 proficiency in mathematical and statistical techniques and approaches used to reputed company fact-based decision-