CACI International - Washington, DC

posted 3 months ago

Full-time - Mid Level
Washington, DC
Professional, Scientific, and Technical Services

About the position

As a Senior Operations Research Analyst, you will play a pivotal role in supporting the U.S. Immigration and Customs Enforcement (ICE) within the Homeland Security Investigations (HSI) division. Your primary responsibilities will encompass a wide range of analytical tasks, including data collection, management, interpretation, visualization, and reporting. You will engage in advanced statistical analysis, predictive modeling, and forecasting to facilitate data-driven decision-making processes. Your expertise will also extend to tool development and model building, which are essential for enhancing the organization's operational efficiency and effectiveness. In this role, you will be responsible for management and business process modeling, which includes budget and workforce planning, formulation, justification, and forecasting. You will also be involved in strategic planning and implementation, risk assessment and management, and the development of performance measures and reporting systems. Your contributions will be crucial in program development and the planning and implementation of research and evaluation initiatives. Additionally, you will provide supervision, management, and training, ensuring that your team is equipped with the necessary industry knowledge and technical support to excel in their roles. Your work will involve utilizing techniques for entity resolution to identify and establish relationships between various data entities and objects. You will design data models and develop relational tables that inform enterprise data storage, access, and protection policies. This will require you to ensure that the data models align with established strategic objectives and adequately represent all use cases. You will also be tasked with updating existing data models to integrate new data and ensuring that they remain relevant and useful for business applications and end users.

Responsibilities

  • Provide data collection, analysis, management, interpretation, visualization, and reporting.
  • Conduct advanced statistical analysis, predictive modeling, and forecasting.
  • Develop tools and models to enhance data-driven decision making.
  • Engage in management and business process modeling, including budget and workforce planning.
  • Implement strategic planning and risk assessment initiatives.
  • Develop performance measures and reporting systems.
  • Support program development and research evaluation planning.
  • Utilize techniques for entity resolution to establish relationships between data entities.
  • Design and develop data models and relational tables for enterprise data storage.
  • Ensure data models align with strategic objectives and represent all use cases.
  • Update existing data models to integrate new data and maintain relevance.

Requirements

  • DHS/ICE, DOD, or other federal agency clearance required.
  • Minimum of five (5) to seven (7) years of relevant experience.
  • Master's degree (MA/MS) in Operations Research, Mathematics, Statistics, Business Analytics, or a similar field required; or a Bachelor's degree (BA/BS) with an additional two (2) years of data analytics experience (seven (7) years total).
  • Five (5) years of experience in developing data-driven performance reporting tools.
  • Experience in data analytics and creating user-friendly management-level decision-making tools, such as dashboards and models.
  • Proficiency in Tableau Desktop, Tableau Enterprise Server, and R programming, including writing SQL queries and using R/Python within Tableau.
  • Experience in quality control over deliverables and working with clients to improve data quality.
  • Experience in presenting data and dashboards to an interdisciplinary audience.

Nice-to-haves

  • Experience with Tableau Prep, Power BI, and other data visualization tools preferred.
  • PMP certification preferred.

Benefits

  • Healthcare coverage
  • Wellness programs
  • Financial benefits
  • Retirement plans
  • Family support programs
  • Continuing education opportunities
  • Flexible time off benefits
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