Jobs · Information Technology · Virginia

Data Analyst (Cleared)

ICF · Reston, VA · 1 mo ago
Information Technology$67k–$114k/yrFull-time

About the role

This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

Responsibilities

  • Carry out data mining, data preparation, reporting, analysis, studies, and needs/gaps assessments to support complex mission and operational questions
  • Prepare, clean, transform, validate, and analyze structured and unstructured data from multiple sources
  • Assess the accuracy, completeness, reasonableness, and usability of data, recommendations, and proposed solutions
  • Document analytical results, summarize findings, and contribute to recommended solutions for customer problems
  • Support senior data scientists in evaluating stakeholder requirements and determining feasibility of proposed analytical approaches
  • Implement data models developed by senior data scientists or other technical team members
  • Provide database support for customer solutions, including data extraction, data validation, data profiling, and data quality support
  • Develop data-driven analyses, reports, dashboards, and visualizations based on data models and stakeholder requirements
  • Collaborate with data scientists, data engineers, data architects, developers, UX/UI designers, and project managers to deliver end-to-end analytical capabilities
  • Participate in Agile delivery activities, including sprint planning, backlog refinement, task estimation, status reporting, demonstrations, and issue resolution
  • Communicate analytical concepts, methods, findings, and products to technical and non-technical audiences
  • Support troubleshooting and root cause analysis for data issues, reporting inconsistencies, and analytical product defects
  • Maintain documentation for datasets, analytical methods, data transformations, reports, dashboards, and workflows

Requirements

  • U.S. Citizenship required due to federal contract requirements
  • Recent DHS Public Trust, DoD Secret, or DoD Top Secret clearance required
  • Ability to obtain and maintain a CBP background investigation or other required government suitability determination
  • Reside in the U.S. and be able to support onsite work in the Washington, DC Metro area, including Ashburn, VA, as needed
  • Four (4) years of relevant experience in applied research directed to machine learning, statistics, applied mathematics, data science, computer science, operations research, or another closely related quantitative or mathematical discipline
  • At least two (2) years of experience in applied data science research or big data analytics
  • Bachelor’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, Analytics, or another closely related scientific or technical discipline
  • Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning
  • Strong analytical and problem-solving skills with the ability to identify trends, anomalies, inconsistencies, and meaningful patterns in data
  • Strong communication skills with the ability to explain data findings, analytical concepts, and reporting products to technical and non-technical audiences
  • Detail-oriented with a focus on data accuracy, completeness, documentation, and quality
  • The ability to translate stakeholder questions and operational needs into practical data analyses, reports, and visualizations
  • Able to manage multiple priorities and deliver high-quality work in an Agile environment
  • Collaborative and proactive with the ability to work effectively with data scientists, engineers, architects, developers, project managers, and end users
  • Self-motivated with the ability to work under occasional supervision
  • Mission-focused with a commitment to delivering actionable, reliable, and high-quality analytical support that improves government decision-making and operational outcomes

Qualifications

  • Master’s degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research, Analytics, or another closely related discipline
  • Experience supporting DHS, CBP, or other federal law enforcement, trade, revenue, regulatory, or mission operations environments
  • Experience supporting analytical solutions for fraud detection, trade evasion, revenue protection, import safety, forced labor, intellectual property rights, supply chain risk, or other enforcement and compliance use cases
  • Experience working with high-volume structured and unstructured data from disparate sources, including transactional, entity, network, operational, or case management data
  • Experience using SQL, Python, R, Excel, SAS, Spark, Databricks, AWS, or similar tools for data preparation, analysis, reporting, or visualization
  • Experience with data profiling, data quality assessment, data cleansing, validation, reconciliation, and issue documentation
  • Experience developing dashboards, reports, data visualizations, or self-service analytics products using Tableau, Power BI, QuickSight, or similar platforms
  • Experience supporting machine learning, statistical modeling, anomaly detection, entity resolution, network analysis, cohort analysis, or risk-scoring projects
  • Experience writing analytical summaries, technical documentation, user guides, data dictionaries, or standard operating procedures
  • Experience working in Agile, Scrum, SAFe, or similar iterative delivery environments
  • Experience working in secure, compliant federal IT or data environments

Skills

  • Hands-on experience with data analysis, data preparation, reporting, database support, and visualization
  • Ability to work closely with data scientists, engineers, architects, project managers, and government stakeholders
  • Assessment of the accuracy and reasonableness of data
  • Support implementation of analytical models
  • Document findings
  • Help transform data into clear, concise, and actionable insights

Benefits

Not specified

Pay

$67,063.00 - $114,008.00

Schedule

Not specified

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