Senior Data Analyst

Data Analyst / Data Engineer – Fraud & Risk

• Location: Richmond, VA
• Schedule: Hybrid, 3 days onsite per week
• Employment Type: Contract, with potential for extension
• Pay Range: $50-52 per hour

• Position Overview
• We are seeking a Data Analyst/Data Engineer to support fraud, disputes, and risk-related initiatives. This role will focus on business monitoring, risk analysis and remediation, and fraud/card data architecture. You’ll work closely with risk-focused teams to help convert data populations and control scripts while supporting broader monitoring and data initiatives.

• Key Responsibilities
• Support fraud, disputes, and risk monitoring initiatives.
• Analyze large datasets using SQL and Python, with a stronger emphasis on SQL.
• Work with fraud and credit card data architecture.
• Support risk analysis, remediation, and business monitoring.
• Convert existing data populations and control scripts.
• Work with Databricks, Snowflake, and AWS/S3.
• Partner across risk-related teams to support data and control initiatives.

• Required Qualifications
• Strong SQL experience.
• Working experience with Python.
• Hands-on experience with Databricks.
• Experience with Snowflake.
• Experience working within AWS, preferably S3.
• Understanding of data tables, data structures, and data architecture.
• Ability to work onsite in Richmond, VA three days per week.

• Preferred Qualifications
• Experience with Tableau and/or Amazon QuickSight.
• Fraud, disputes, or risk management experience.
• Experience working within risk frameworks or risk remediation.
• Credit card or financial services experience.