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Decision Science Analyst Senior - 100% Remote Available

Company: Usaa
Location: Peyton
Posted on: April 5, 2021

Job Description:

The candidate selected for this position will be part of the expanding Pricing Solutions and Methods team and will be accountable for developing capability enhancements to (1) deliver new insight and (2) enable USAA''s pricing team to work more efficiently. The selected candidate will use industry pricing software as well as various data science technologies. 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 drive change. The essence of work performed 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. About USAA USAA knows what it means to serve. We facilitate the financial security of millions of U.S. military members and their families. This singular mission requires a dedication to innovative thinking at every level. USAA Careers World Class Benefits (31 seconds) Tasks : Leverages expert business/analytical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies. The business problems analyzed 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 effectively 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 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 determines the appropriate data hygiene techniques to apply. Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews. Subsequent analysts should be able to rely on documentation to replicate and continue work. 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. Recommendations typically have a major impact on business results. Provides subject matter expertise in operationalizing recommendations. Minimum Requirements: Bachelor''s degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences or other quantitative discipline. 4 years work experience in statistics, mathematics or quantitative analytics or related experience can be substituted in lieu of a degree in addition to the minimum years of work experience required. OR A Master''s Degree in quantitative analytics or a related field OR A PhD in quantitative analytics or a related field. If Bachelor''s degree, 6 or more years experience in a decision support analytic function. OR If Master''s Degree, 4 or more years experience in a decision support analytic function. OR If PhD, 3 or more years experience in a decision support analytic function. Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Successful completion of a job-related assessment may be required. When you apply for this position, you will be required to answer some initial questions. This will take approximately 5 minutes. Once you begin the questions you will not be able to finish them at a later time and you will not be able to change your responses. Preferred Experience: Advanced degree in Statistics, Computer Science or other quantitative discipline. Experience with Machine Learning techniques such as penalized regression and tree-based models. Advanced programming skills (Python, R, VBA). Demonstrated ability to improve processes and tooling. 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. 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 position. The salary range for this position is: $88,200 - $158,900 ( this does not include geographic differential it may be applied based on your work location). Employees may be eligible for pay incentives based on overall corporate and individual performance or at the discretion of the USAA Board of Directors. Geographical Differential: Geographic pay differential is additional pay provided to eligible employees working in locations where market pay levels are above the national average. Shift premium: will be addressed on an individual-basis for applicable roles that are consistently scheduled for non-core hours. 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. Please click on the link below for more details. USAA Total Rewards Relocation assistance is not available for this position. For Internal Candidates: Must complete 12 months in current position (from date of hire or date of placement) or must have managers approval prior to posting. Last day for internal candidates to apply to the opening is 4/4/21 by 11:59 pm CST time.by Jobble

Keywords: Usaa, Denver , Decision Science Analyst Senior - 100% Remote Available, Professions , Peyton, Colorado

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