Senior Data Analyst

Data Analyst / Data Engineer – Fraud & Risk

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Location: Richmond, VASchedule: Hybrid, 3 days onsite per weekEmployment Type: Contract, with potential for extensionPay Range: $50-52 per hour
Position OverviewWe 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 ResponsibilitiesSupport 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 QualificationsStrong 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 QualificationsExperience with Tableau and/or Amazon QuickSight.Fraud, disputes, or risk management experience.Experience working within risk frameworks or risk remediation. xzbcwsv Credit card or financial services experience.