Data Analyst (0045)

OCT Consulting, LLC

$90K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Must be a U.S. Citizen or Person.
  • Bachelor's degree in Data Science, Statistics, Computer Science, Operations Research, or a related field.
  • Minimum 5 years of progressive data analysis experience.
  • Expertise in quantitative, qualitative, and NLP techniques, with familiarity in predictive risk modeling.
  • Valid Secret security clearance/eligibility required.

Responsibilities

  • Optimize eVetting business rules to enhance automated pass rates.
  • Analyze investigation and adjudication data to pinpoint system bottlenecks.
  • Conduct comprehensive analysis using quantitative, qualitative, and NLP methods on unclassified data.
  • Interview staff conducting manual reviews to gather qualitative insights.
  • Develop actionable recommendations to improve eVetting efficiency and security.
  • Perform trending analysis to assess changes in adjudication policies.
  • Identify data enrichment opportunities by integrating additional data sources.
  • Explore advanced analytical techniques for predictive and prescriptive insights.

Benefits

  • Medical, Dental, and Vision insurance
  • Retirement savings 401K plan with 3% employer contributions
  • Paid Time Off and Standard Government Holidays
  • Life Insurance and Short- and Long-Term disability benefits
  • Training Benefits
Full Job Description
Responsibilities and Duties

OCT currently has an opening for a Data Analyst to work with our federal client.

Day to day responsibilities include:

  • 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.

Requirements
  • Citizenship: Must be a U.S. Person/Citizen.
  • Education: A Bachelor's degree in Data Science, Statistics, Computer Science, Operations Research, or a related field is required.
  • Experience: At least five (5) years of progressive experience in data analysis.
  • Technical Skills: Demonstrated expertise in quantitative, qualitative, and Natural Language Processing (NLP) techniques. Familiarity with predictive risk modeling and network analysis is highly desired.
  • Clearance Requirements: Must possess and maintain a Secret security clearance/eligibility (favorably adjudicated T3 or T3R), though the day-to-day analytical work will be performed on unclassified data containing no Personally Identifiable Information (PII).
  • Location: on-site in Crystal City, VA.

Benefits

OCT offers competitive compensation packages and a full suite of benefits which includes:
  • 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


Salary Range: $90,000- $120,000 yearly commensurate with experience, education, etc.

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