Data Analyst (0045)

OCT Consulting, LLC • Arlington, VA

2d • $90,000 - $120,000 • Onsite

About The Position

OCT Consulting is seeking a Data Analyst to support a federal client. This role involves optimizing business rules for the eVetting process to increase automated pass rates and reduce manual reviews, aligning with Trusted Workforce 2.0 objectives. The analyst will examine investigation and adjudication data, as well as rule test results, to pinpoint bottlenecks in current automated systems. A key part of the role includes conducting quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to determine the root causes of low automated pass rates. The analyst will also interview personnel involved in manual interim determinations to understand decision-making processes and gather operational insights. The position requires developing actionable recommendations to modify eVetting business rules for improved efficiency without compromising security. Additionally, the role involves performing trending analysis to identify shifts in adjudication policy and evaluate the significance of specific data fields. Recommendations for data enrichment by integrating additional data sources, such as final adjudication outcomes or mitigating applicant information, will be made. The analyst will also investigate advanced analytical techniques for predictive and prescriptive insights, including predictive risk models and network analysis. Strong communication, coordination, collaboration, and liaison skills are essential for working with user representatives, program sponsors, mission partners, and other client elements.

Requirements

• Must be a U.S. Person/Citizen.
• A Bachelor’s degree in Data Science, Statistics, Computer Science, Operations Research, or a related field is required.
• At least five (5) years of progressive experience in data analysis.
• Demonstrated expertise in quantitative, qualitative, and Natural Language Processing (NLP) techniques.
• Must possess and maintain a Secret security clearance/eligibility (favorably adjudicated T3 or T3R).

Nice To Haves

• Familiarity with predictive risk modeling and network analysis is highly desired.

Responsibilities

• Optimize business rules for the eVetting process (such as Tier 3 initial and preliminary investigations) to safely increase automated pass rates and reduce manual reviews, supporting Trusted Workforce 2.0 objectives.
• Analyze investigation and adjudication data, as well as rule test results, to identify bottlenecks in current automated systems.
• Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates.
• Interview personnel performing manual interim determinations to understand decision-making processes and capture qualitative operational insights.
• Develop actionable written recommendations to modify eVetting business rules to improve efficiency without compromising security standards.
• Perform trending analysis to identify shifts in adjudication policy and evaluate the significance of specific data fields (e.g., "Easy Label").
• Recommend opportunities for data enrichment by integrating additional data sources, such as final adjudication outcomes or mitigating applicant information.
• Investigate the use of advanced analytical techniques to create predictive and prescriptive insights, including predictive risk models and network analysis to visualize connections.
• Communicate, coordinate, collaborate, and liaise with user representatives, program sponsors, mission partners, and other client elements.

Benefits

• Medical, Dental, and Vision insurance
• Retirement savings 401K plan provided by an industry leading provider with 3% employer contributions of the employee’s gross salary
• Paid Time Off and Standard Government Holidays
• Life Insurance, Short- and Long-Term disability benefits
• Training Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level