Trading Analyst supporting day - to - day wholesale power trading operations in Birmingham, AL. Forecasting prices and developing bids while ensuring data integrity.
About the role
- Decision Science Analyst analyzing member and household performance to support financial security solutions at USAA. Engaging in data storytelling, performance reporting, and forecasting.
Responsibilities
- Analyze member and household performance to support partners in the lines of business and across the Association, including strategy teams
- Support ad hoc analyses, performance reporting insights and data storytelling, and forecasting to answer business objectives and drive change
- Gather, manipulate and synthesize data and other relevant information to draw conclusions and make recommendations resulting in implementable strategies
- Participate in discussions with cross functional teams to understand and collaborate on business objectives and influence solution strategies
- Apply advanced analytical techniques to solve business problems that are typically medium to large scale with impact to current and/or future business strategy
- Apply innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations
- 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 may be substituted in lieu of degree
- 4 years of experience in data/analytics or functional business experience within 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 within the respective industry of responsibility (i.e. P&C, Bank, Finance)
- Demonstrates competency in mathematical and statistical techniques and approaches used to drive fact-based decision-making
- Intermediate and some 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
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
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