Data Analyst 2026P-0112
The Data Analyst (Operational Monitoring) supports government-led fraud analytics operations by monitoring model performance, tracking inventory, and producing actionable insights that improve fraud detection and operational outcomes. This role is critical to ensuring continuous visibility into filing trends, fraud schemes, and treatment workflows across both filing and non-filing periods.
The ideal candidate is detail-oriented, analytical, and highly organized, with the ability to manage high-volume datasets and translate data into meaningful insights. This individual must be self-driven, comfortable working in an evolving environment, and capable of identifying anomalies, escalating risks, and supporting rapid analytical response efforts.
This role supports the customer’s need to maintain operational awareness of fraud analytics systems, ensuring models, filters, and business rules perform effectively while enabling timely decision-making. The analyst will leverage tools such as SQL, Python/R, BI platforms, and IRS-provided systems to monitor trends, generate reports, and support fraud mitigation strategies.
Key Responsibilities / Day-to-Day Activities
- Monitor fraud detection models, filters, and business rules to assess performance and identify degradation or anomalies
- Track inventory levels, case volumes, and workflow status across fraud programs
- Analyze filing and non-filing patterns to detect emerging fraud schemes or irregular behaviors
- Generate recurring and ad hoc reports to support operational visibility and leadership decision-making
- Validate data accuracy and reconcile discrepancies across multiple data sources
- Support production analytics by reviewing outputs and ensuring alignment with expected results
- Assist in evaluating model outputs and flagging potential false positives or false negatives
- Collaborate with data scientists and engineers to refine monitoring metrics and reporting logic
- Conduct trend analysis to inform treatment strategies and fraud prevention efforts
- Respond to emerging analytical requests and support rapid response efforts for identified vulnerabilities
- Document processes, methodologies, and findings to support transparency and repeatability
- Coordinate with stakeholders to ensure consistent reporting and shared understanding of metrics
How to Apply
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| Job Category | Data Analysis and Analytics |
| MINIMUM QUALIFICATIONS | Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or related field |
| REQUIRED SKILLS | 2 to 4 years of experience in data analysis, reporting, or operational analytics |Proficiency in SQL for querying and manipulating large datasets |Strong written and verbal communication skills |Ability to manage multiple priorities in a fast-paced environment |
| TECHNICAL SKILLS | Experience with data visualization tools such as Tableau, Power BI, or similar platforms | Experience producing reports and dashboards for operational or program management use | Ability to work with structured and unstructured data from multiple sources |
| DESIRED QUALIFICATIONS | Experience supporting fraud detection, financial analytics, or compliance-related programs. Familiarity with IRS data environments or federal financial systems. Experience with Python or R for data analysis and automation. Knowledge of predictive model monitoring and performance metric Experience working in Agile or iterative delivery environments. Exposure to data governance, data quality, or data validation frameworks. Understanding of identity theft and fraud schemes in tax or financial domains. Relevant certifications such as Certified Analytics Professional (CAP), Microsoft Power BI Certification, or similar. |
| SUITABILITY REQUIREMENTS | Ability to obtain and maintain a Public Trust (IRS Moderate Risk) clearance. U.S. Citizenship required |