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Systems Data Analyst

Remote role Full-time Open position

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

  • We have plans for every turn you take. It was founded in 1973, and is headquartered in San Francisco, California, USA, with a workforce of 10001+ employees. Its website is https://www.schwab.com/.
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