Mid - Level Decision Science Analyst at USAA providing analytical support to business areas. Utilizing statistical techniques and data analysis to drive business strategies and decision - making.
About the role
- Data Analyst role focused on analytical skills, SQL expertise, and report building for business decisions. Collaborating with data engineering and presenting findings for strategic management support.
Responsibilities
- Perform deep analysis on business datasets to identify trends, patterns, and anomalies.
- Translate raw data into clear, actionable insights for stakeholders.
- Write highly optimized SQL queries for data extraction and manipulation.
- Ensure query performance is efficient even with large datasets.
- Act as the go-to expert in SQL best practices within the team.
- Build and maintain automated dashboards and reports to track business KPIs.
- Use tools like Tableau, Power BI, or Looker for data visualization.
- Create ad-hoc reports to answer urgent business questions.
- Ensure accuracy, consistency, and reliability of data used for analysis.
- Collaborate with data engineering teams to maintain robust data pipelines.
- Proactively identify and resolve data quality issues.
- Present findings in a clear and concise manner to both technical and non-technical audiences.
- Support senior management with data-driven decision-making.
Requirements
- Bachelor’s or Master’s degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
- 2-4 years of experience in data analytics or business intelligence.
- Strong SQL skills for analysis and reporting.
- Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
- Familiarity with Python or R for data manipulation/analysis (preferred).
- Excellent problem-solving skills and a structured, analytical mindset.
- Strong communication skills for explaining technical results to non-technical stakeholders.
Benefits
- Job Benefits
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