Note: The job is a remote job and is open to candidates in USA. USAA is dedicated to empowering its members to achieve financial security through exceptional service and trusted advice. The Decision Science Analyst Lead will transform member service experiences through in-depth analytics, driving higher member satisfaction and optimizing performance.
Responsibilities
- Leverages expert business, analytical and technical knowledge to 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 large scale with significant impact to current and/or future business strategy
- Organizes and leads all aspects of the development of requirements/resources necessary to meet established objectives
- Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change
- Translates recommendation into communication materials to effectively present to all 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 figures out appropriate data hygiene techniques to apply
- Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements
- Monitors, understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions
- Succinctly delivers complex analysis/findings in a manner that conveys understanding, influences senior executives, garners support for recommendations, drives business decisions, and influences business strategy
- Provides subject matter expertise in operationalizing recommendations
- Researches and pursues the latest and/or industry leading practices in data and analytics, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the overall DSA community knowledge
- Finds 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). )
- Innovates to create new and emerging data sets, and incorporation (data wrangling, data munging) into new insights
- Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures
Skills
- 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 field is required; OR 4 years of related statistics, mathematics or quantitative analytics or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree
- 8 years of data & analytics experience; OR 6 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 8 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 field and 6 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.)
- 3 years of direct and/or indirect management experience
- Demonstrates expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
- Experienced 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
- Prior U.S. military service or being a military spouse/domestic partner is highly valued
- An advanced degree in a quantitative field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a related discipline
- A deep understanding of the customer/member journey and service operations
- Demonstrated ability to innovate, develop, and implement advanced analytical strategies to enhance member experience across all touchpoints. This includes a strong proficiency in applying statistical modeling, machine learning, and quantitative analysis techniques
- Exceptional communication and presentation skills, with a validated talent for translating complex insights into tangible business impact for diverse collaborators
- Validated ability to take on complex analytical challenges, develop data-driven solutions, and execute on recommendations
- Ability to work independently, lead projects effectively, and proactively find opportunities for analytical exploration and improvement
Benefits
- 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
- Various wellness programs
- Career path planning and continuing education assists employees with their professional goals
Company Overview