Data Analyst
$85,000–$105,000 year
HybridAnnapolis Junction, Maryland, United States
Job Summary
Conduct structured, forensic analysis of inquiries related to vetting services, designations, and associated statuses. Review and correlate information across multiple systems and data sources to reconstruct activity, identify discrepancies, and develop evidence-supported conclusions. Independently manage a high-volume queue of investigative inquiries while maintaining timeliness and quality standards. Document investigative steps, findings, and determinations in a consistent, traceable manner, and prepare clear summaries for team leadership and stakeholders. Collaborate with subject matter experts and Data Analytics personnel to validate findings, resolve complex cases, and refine standard operating procedures. Identify recurring patterns or systemic issues, elevate significant findings, and support the development of automated analytical solutions.
Required Qualifications
- Bachelor's degree in data analytics, business analytics, information systems, business administration, public administration, or a related field; equivalent relevant experience may be considered.
- Experience conducting investigative, root-cause, operational, business, or similar analytical work.
- Demonstrated ability to analyze and correlate information from multiple sources and develop evidence-supported conclusions.
- Strong analytical reasoning, problem-solving, attention to detail, and organizational skills.
- Ability to independently manage a high-volume workload while maintaining accuracy and meeting established timelines.
- Strong written and verbal communication skills, including the ability to clearly document analytical findings.
- Proficiency with Microsoft Office applications, particularly Excel, PowerPoint, and Teams.
Desired Qualifications
- Experience supporting government programs, transportation or travel-related operations, vetting services, or other complex operational environments.
- Experience performing forensic, investigative, root-cause, quality, or issue analysis.
- Experience analyzing structured and unstructured information from multiple systems and sources.
- Experience with analytical tools such as Microsoft Excel, Power BI, SQL, or similar platforms.
- Familiarity with process improvement, automation, or the application of Artificial Intelligence (AI) to analytical workflows.
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