Systems Data Analyst

Charles Schwab is a financial services company that empowers its employees to make a significant impact on their careers. The Systems Data Analyst role involves supporting data-driven decision-making by analyzing and interpreting data related to Fraud, Anti-Money Laundering, and Financial Crimes Risk Management, leveraging SQL and AI-enabled analytics for improved outcomes.

Responsibilities

• Extract, query, and analyze data from multiple fraud, AML and enterprise systems using SQL and related tools
• Clean, validate, and transform raw data to ensure accuracy and consistency
• Perform exploratory analysis to identify trends, patterns, gaps, and risks
• Apply AI-enabled analytics tools or techniques (e.g., automation, pattern detection, anomaly identification) to improve analytical outcomes
• Translate analytical findings into clear, actionable insights for non-technical audiences
• Partner with business and technology teams to understand requirements and data needs
• Support audits, risk assessments, and regulatory or management reporting as needed
• Document data definitions, logic, assumptions, and AI usage to ensure transparency and repeatability

Skills

• Bachelor's degree in Analytics, Data Science, Computer Science, Finance, or a related field
• Strong proficiency in SQL and querying relational databases
• Experience working with large datasets and multiple data sources
• Experience using AI-enabled analytics tools (e.g., Python libraries, embedded AI in BI platforms, or automation frameworks)
• Python or R for data analysis, automation, or AI-assisted workflows
• Solid analytical and problem-solving skills
• Ability to clearly communicate insights and findings to stakeholders
• High attention to detail and data quality
• Working knowledge of AI or advanced analytics concepts, such as:
• Using AI-assisted tools for data analysis or automation
• Basic understanding of machine learning concepts (e.g., classification, anomaly detection, trend analysis)
• Leveraging AI features within analytics platforms or programming tools

Company Overview