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Secret 315786
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US

THE OPPORTUNITY:

Are you ready to revolutionize financial auditability and transportation logistics? CACI is seeking an experienced intermediate-level Data Analyst to join our team in implementing a cutting-edge software system
If you’re passionate about leveraging technology to streamline operations and enhance transparency, this is your chance to make a significant impact. Join us in building the future of financial and logistical management!

QUALIFICATIONS:

Required:

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• 3-8 years of experience in data analysis or a related field
• Strong proficiency in programming languages such as Python, R, or SQL
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Solid understanding of statistical analysis and machine learning techniques
• Familiarity with big data technologies (e.g., Hadoop, Spark)
• Excellent problem-solving and critical thinking skills
• Strong communication skills with the ability to present complex data in an understandable format
• Experience working with large and complex data sets

Desired:

• Master’s degree in a relevant field
• Professional certifications in data analysis or related areas
• Experience in government contracting or defense industry data analysis
• Knowledge of cybersecurity principles and practices

• Familiarity with cloud computing platforms (e.g., AWS, Azure)

• Examine data from various sources to provide insights into organization, mission/business processes, and information systems
• Design, document, and implement custom algorithms for data analysis and modeling
• Develop and optimize workflow processes for efficient data handling and analysis
• Work with large data sets for modeling, data mining, and research purposes
• Create and maintain databases and data systems
• Interpret data and analyze results using statistical techniques
• Develop comprehensive reports and visual presentations to communicate findings
• Collaborate with cross-functional teams to identify and solve business problems
• Stay current with emerging technologies and methodologies in data science and analytics