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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced analytical techniques and decision support analytics, leveraging mathematical and statistical methods to drive strategic business insights. Proficient in data visualization and integrating diverse data sources to inform executive-level decision-making.
Highest-signal resume keywords
Advanced Analytical TechniquesData VisualizationSQL ProficiencyExpertise in Statistical TechniquesExperience with AI-Enabled Analytics Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Mathematical TechniquesStatistical TechniquesData AnalysisData WranglingData MungingDecision Support AnalyticsData Hygiene TechniquesExploratory Data AnalysisRisk MonitoringCompliance Documentation
Soft Skills
Cross-Functional CollaborationInfluencing Solution StrategiesCommunication Skills
Tools & Technologies
SQLSASBI ToolsAdobe AnalyticsCloud TechnologiesNeural NetworksIoTStreaming Data
Industry Keywords
Data ScienceBusiness AnalysisQuantitative AnalysisDigital Experience DataMedia Performance Analysis
Tech Stack
Tools & technologiesCloudIoTPythonSQL
About the role
Key responsibilities & impact- Provide decision support for business areas across the association
- Apply mathematical, statistical, scientific, quantitative, and innovative analytical approaches to solve business problems and drive change
- Gather, manipulate, and synthesize data, models, and relevant information
- Lead discussions with cross-functional teams to understand complex business objectives and influence solution strategies
- Apply advanced analytical techniques to large-scale business problems with significant strategic impact
- Organize and oversee development of requirements and resources needed to meet objectives
- Draw conclusions and make recommendations that answer business objectives and drive appropriate change
- Translate recommendations into communication materials for all levels of management
- Incorporate data visualization techniques for less technical audiences
- Identify and gather relevant, quality data sources through testing or exploratory data analysis
- Integrate and transform disparate data sources and determine appropriate data hygiene techniques
- Document assumptions, methodology, validation, and testing for peer review and compliance
- Monitor, understand, and adopt emerging technologies affecting scientific and quantitative analytics
- Deliver complex analysis and findings to influence senior executives, business decisions, and strategy
- Provide subject matter expertise in operationalizing recommendations
- Research and pursue leading practices in data and analytics, including cloud, data mining, Python, neural networks, sensor data, IoT, and streaming/NRT data
- Continue learning through informal or formal education, certifications, and advanced coursework
- Innovate to create and incorporate new and emerging data sets into new insights
- Identify, measure, monitor, and control risks in accordance with risk and compliance policies and procedures
Requirements
What you’ll need- Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field; OR 4 years of relevant education and/or experience
- 8 years of experience in a decision support analytic function OR an advanced degree in a relevant discipline and 6 years of experience in a decision support analytic function
- Expert skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making
- Expert 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 and methods
- Ability to connect external insights to business problems
- Experience with new and emerging data sets, including data wrangling and data munging, and incorporating them into new insights
- No visa sponsorship; candidates must not require immigration support now or in the future, including H-1B, TN, or STEM OPT Training Plans
- Prior U.S. military service or being a military spouse/domestic partner is highly valued
- Experience using Adobe Analytics and/or knowledge of digital experience data
- Experience analyzing media and digital channel performance
- Experience piloting AI-enabled analytics tools and evaluating their application to data analysis, insights generation, and marketing optimization
Benefits
Comp & perks- Flexible work environment with remote or hybrid flexibility for active-duty military spouses, consistent with policy and business needs
- Pay incentives based on overall corporate and individual performance, at the discretion of the USAA Board of Directors
- Comprehensive medical, dental and vision plans
- 401(k)
- Pension
- Life insurance
- Parental benefits
- Adoption assistance
- Paid time off program
- Paid holidays
- 16 paid volunteer hours
- Wellness programs
- Career path planning
- Continuing education assistance