Analytics Engineer / BI Analyst 2026P-0111
The Analytics Engineer / BI Analyst supports government-led fraud analytics operations by transforming complex data into actionable insights that enhance fraud detection, prevention, and operational decision-making. This role bridges data engineering, analytics, and business intelligence to deliver dashboards, reporting solutions, and analytical outputs that inform program performance and taxpayer protection strategies.
The ideal candidate is a detail-oriented and analytically driven professional who thrives in a fast-paced, ambiguous environment. They demonstrate strong problem-solving skills, the ability to translate business needs into technical solutions, and the discipline to manage multiple priorities while maintaining data accuracy and integrity.
This role supports monitoring fraud trends, evaluating model and rule performance, and delivering reporting solutions that provide visibility into inventory, case processing, and fraud schemes. The candidate will work with structured and unstructured datasets, leveraging tools such as SQL, Python, and BI platforms to support real-time and periodic reporting needs.
Key Responsibilities / Day-to-Day Activities
- Develop and maintain dashboards and reports to support fraud analytics operations and leadership decision-making
- Analyze large datasets to identify trends, anomalies, and emerging fraud patterns
- Support performance monitoring of predictive models, filters, and business rules
- Translate business requirements into data models, visualizations, and reporting solutions
- Collaborate with data scientists and engineers to ensure accurate data pipelines and reporting outputs
- Produce recurring and ad hoc reports on inventory levels, case status, and operational metrics
- Validate data quality and resolve discrepancies across multiple data sources
- Document reporting logic, data sources, and methodologies to ensure transparency and reproducibility
- Support rapid-response analytics for emerging fraud schemes or operational issues
- Present findings and insights to stakeholders in a clear, concise, and actionable manner
How to Apply
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| Job Category | Data Analysis and Analytics |
| MINIMUM QUALIFICATIONS | Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Statistics, or related field |
| REQUIRED SKILLS | 4 to 6 years of experience in data analytics, business intelligence, or reporting roles.| Strong analytical, organizational, and problem-solving skills |Excellent written and verbal communication skills |
| TECHNICAL SKILLS | Experience with BI tools such as Tableau, Power BI, or similar platforms Experience working with large datasets and relational databases. Knowledge of data visualization best practices and dashboard design. Ability to translate business requirements into technical solutions. Strong proficiency in SQL for data extraction and transformation. |
| DESIRED QUALIFICATIONS | Experience supporting federal agencies, preferably IRS, Treasury, or financial oversight organizations. Familiarity with fraud analytics, risk modeling, or anomaly detection. Experience with Python or R for data analysis Exposure to data engineering concepts such as ETL pipelines and data warehousing. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of Agile methodologies and tools such as Jira or Azure DevOps. Experience working in high-volume, mission-critical operational environments. |
| SUITABILITY REQUIREMENTS | Ability to obtain and maintain a Public Trust clearance. Must be a U.S. Citizen or meet eligibility requirements for federal contracting |