Sales professional participating in Dow’s Commercial Development Program, understanding business needs and recommending solutions. Leading cross - functional teams to create value for customers and Dow.
US
Hybrid Senior Decision Science Analyst, Digital & Member Marketing Analytics
Posted 3 hours ago
About the role
- Senior Analyst providing decision support for digital marketing initiatives at USAA. Focusing on member onboarding, engagement, and translating data into actionable insights.
Responsibilities
- Provide decision support for new member onboarding, ongoing member engagement, and digital marketing performance initiatives (paid, owned, earned media).
- Translate complex datasets into actionable insights that directly influence campaign strategy, experience optimization, and member growth outcomes.
- Partner closely with marketing product and channel teams to identify opportunities to improve conversion, engagement and long-term value.
- Leverage 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.
- Apply advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
- Incorporate visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
- Identify and gather 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).
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 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.
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 to assist employees with professional goals
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