Decision Science Analyst Mid-Level - Brand Marketing (Remote)
About the position
The Decision Science Analyst Mid-Level for Brand Marketing at USAA plays a crucial role in providing decision support across various business areas. This position involves applying mathematical and statistical techniques to analyze data, draw conclusions, and make actionable recommendations that align with business objectives. The analyst will work collaboratively with cross-functional teams to influence strategies and drive change, ensuring that insights are effectively communicated to management and stakeholders.
Responsibilities
?? Leverage intermediate and advanced analytical knowledge to collaborate with cross-functional teams on business objectives.
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?? Apply advanced analytical techniques to solve medium to large scale business problems.
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?? Translate recommendations into communication materials for peer review and management presentation.
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?? Incorporate visualization techniques to enhance understanding for non-technical audiences.
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?? Identify and gather relevant data sources to address business problems through exploratory data analysis.
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?? Integrate and transform disparate data sources while applying appropriate data hygiene techniques.
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?? Document assumptions, methodology, validation, and testing for compliance and peer reviews.
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?? Adopt emerging technologies that can enhance scientific methodologies and quantitative approaches.
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?? Deliver findings in a manner that influences management and drives business decisions.
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?? Ensure risks associated with business activities are identified and controlled according to policies.
Requirements
?? Bachelor's degree in a quantitative analytics field or 4 years of related experience in statistics or quantitative analytics.
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?? 4 years of experience in data/analytics or functional business experience in the respective industry, or an advanced degree with 2 years of experience.
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?? Competency in mathematical and statistical techniques for fact-based decision-making.
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?? Intermediate and advanced knowledge of data analysis tools, SQL, SAS, BI tools, and relevant industry data.
Nice-to-haves
?? Experience supporting business analytics in marketing.
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?? Knowledge of building sophisticated reports that support business outcomes.
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?? Experience designing marketing tests in complex environments.
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?? Knowledge of media mix optimizations using Marketing Mix Models and Multi-Touch Attribution.
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?? Experience in communicating insights to business teams.
Benefits
?? Comprehensive medical, dental, and vision plans
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?? 401(k) and pension plans
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?? Life insurance
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?? Parental benefits
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?? Adoption assistance
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?? Paid time off program with paid holidays and 16 paid volunteer hours
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?? Various wellness programs
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?? Career path planning and continuing education support
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