CACI is looking for a Data Analyst to support Customs and Border Protection (CBP) client by developing and optimizing data analysis and visualization capabilities to enhance national security, safety, security, and prosperity.
Requirements
- Tool preferences include at least two data analytic solutions (i.e., IBM Cognos, SAP Business Objects, Qlik, PowerBI).
- Database skillset for AWS RDS concepts, and understanding of database principles used by tools such as Databricks, Oracle, and Informatica ETL
- Strong software development background using Agile or DevOps methods and deep familiarity with cloud-native technologies.
- 5-10 years of experience applying a range of analytical techniques including statistical, geospatial, link, temporal, and predictive analysis, for DHS, DoD, or IC agencies.
- 3-5 years of experience building and implementing artificial intelligence, neural networks, deep learning, or machine learning capabilities in software applications in a national security or academic environment.
- Exposure to Continuous integration, Continuous Deployment (CI/CD) and DevOps processes and tools
- Exposure to implementing or migrating to Cloud environments like Amazon Web Services (AWS) or Microsoft Azure.
Responsibilities
- Evaluating existing data sets and reporting architectures to identify strategic gaps and apply modern technologies to creatively achieve superior mission outcomes.
- Apply your skills in development languages such as SQL, Sparks, and Python to create or augment business and operational intelligence tools to detect trends, patterns, and non-obvious relationships in large, complex, and disparate data sets.
- Help customers and mission users conceptualize and prioritize their data analysis and visualization needs.
- Collaborate with teams across the organization to help prioritize competing analytic needs and incrementally develop new and optimized capabilities.
- Work on unusually complicated problems and provide solutions that are highly creative, exhibiting creativity and resourcefulness.
- Promote Agile culture and functional decomposition
- Identify new portfolio business value innovations and opportunities
Other
- Must be a U.S. Citizen with the ability to pass CBP background investigation, criteria includes but is not limited to: 3 year check for felony convictions, 1 year check for illegal drug use, 1 year check for misconduct such as theft or fraud
- 7+ years of professional experience working on complex data challenges in the areas of data architecture and engineering, data science, data analysis and visualization, machine learning, artificial intelligence, or related discipline.
- 3+ years experience training customers on data analytical solutions
- Previous experience as an Enterprise-level Data Architect, Data Engineer, Data Scientist, or Data Analyst.
- Lead across teams and organizations as a responsible, team-oriented individual with outstanding written and verbal communication skills and work ethic.
