The Opportunity:
Are you ready to revolutionize financial auditability and transportation logistics? We're seeking talented Data Analysts to join our team in implementing a cutting-edge software system that will transform how businesses manage their finances and supply chains. From program management and cybersecurity to systems engineering and process optimization, we have exciting opportunities across multiple disciplines.*
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 – your expertise could be the key to our success!
*Positions contingent upon contract award.
Responsibilities:
Junior-level -
Examines 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
Develops workflow processes to streamline data collection and analysis
Works with large data sets for modeling, data mining, and research purposes
Assists in creating visualizations and reports to communicate findings effectively
Collaborates with cross-functional teams to understand data needs and requirements
Participates in the development and maintenance of databases and data systems
Stays current with emerging trends and technologies in data analysis and machine learning
Contributes to the improvement of data quality and integrity
Intermediate level -
Examines 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
Develops and optimizes workflow processes for efficient data handling and analysis
Works with large data sets for modeling, data mining, and research purposes
Creates and maintains databases and data systems
Interprets data and analyzes results using statistical techniques
Develops comprehensive reports and visual presentations to communicate findings
Collaborates with cross-functional teams to identify and solve business problems
Stays current with emerging technologies and methodologies in data science and analytics
Senior level -
Examines data from various sources to provide insights into organization, mission/business processes, and information systems
Design, document, and implement custom algorithms for data modeling, mining, and research purposes
Develops and optimizes workflow processes to enhance data analysis efficiency and effectiveness
Works with large data sets to extract valuable insights and support decision-making processes
Creates and maintains comprehensive documentation for data analysis processes and findings
Collaborates with cross-functional teams to identify data needs and deliver actionable insights
Develops and implements data quality assurance processes
Presents complex data findings to both technical and non-technical stakeholders
Stays current with emerging trends and technologies in data analysis and machine learning
Mentors junior team members and contributes to the overall data strategy of the organization
Subject Matter Expert/SME level -
Examines data from various sources to provide deep insights into organization, mission/business processes, and information systems
Design, document, and implement custom algorithms for complex data analysis and predictive modeling
Develops and optimizes workflow processes for efficient data handling and analysis
Creates and manages large data sets for modeling, data mining, and research purposes
Leads advanced analytics projects, from conception to implementation and evaluation
Provides expert guidance on data strategy, architecture, and best practices
Collaborates with cross-functional teams to integrate data-driven insights into business operations
Mentors junior analysts and contribute to the overall data culture of the organization
Stays at the forefront of emerging trends and technologies in data science and analytics
Presents complex findings to executive leadership and stakeholders in a clear, actionable manner
Qualifications:
Required:
Junior -
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (equivalent combination of education and experience may be considered in lieu of degree)
0-3 years of experience in data analysis or a related field
Proficiency in programming languages such as Python, R, or SQL
Familiarity with data visualization tools (e.g., Tableau, Power BI)
Basic understanding of statistical analysis and machine learning concepts
Strong analytical and problem-solving skills • Excellent attention to detail and organizational skills
Ability to work effectively in a team environment
Strong written and verbal communication skills
Willingness to learn and adapt to new technologies and methodologies
Intermediate -
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (equivalent combination of education and experience may be considered in lieu of degree)
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
Senior -
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (equivalent combination of education and experience may be considered in lieu of degree)
8-11 years of experience in data analysis, with a focus on algorithm design and implementation
Strong proficiency in programming languages such as Python, R, or SQL
Experience with data visualization tools (e.g., Tableau, Power BI)
In-depth knowledge of statistical analysis and machine learning techniques
Proven track record of working with large, complex datasets
Excellent problem-solving and analytical skills
Strong communication skills, with the ability to explain complex concepts to non-technical audiences
Experience in documenting and implementing data analysis workflows
SME -
Master's degree in Data Science, Statistics, Computer Science, or a related field (equivalent combination of education and experience may be considered in lieu of degree)
Minimum of 12 years of progressive experience in data analysis and analytics
Proven track record of designing and implementing custom algorithms and data models
Expert-level proficiency in programming languages such as Python, R, or SQL
Extensive experience with big data technologies and cloud-based analytics platforms
Strong understanding of machine learning techniques and their practical applications
Excellent problem-solving skills and ability to translate complex data into actionable insights
Superior communication skills, both written and verbal
Experience in government contracting or defense industry analytics preferred
Ability to obtain and maintain required security clearances
Desired:
Junior –
Experience with big data technologies (e.g., Hadoop, Spark)
Familiarity with cloud computing platforms (e.g., AWS, Azure)
Knowledge of version control systems (e.g., Git)
Internship or academic project experience in data analysis or related fields
Familiarity with agile development methodologies
Intermediate -
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)
Senior -
Master's degree in a relevant field
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
Knowledge of big data technologies (e.g., Hadoop, Spark)
Familiarity with government or defense sector data analysis
Relevant certifications (e.g., AWS Certified Data Analytics, Google Data Analytics Professional Certificate)
SME -
Ph.D. in a relevant field
Relevant certifications (e.g., Certified Analytics Professional, AWS Certified Data Analytics)
Experience with data visualization tools (e.g., Tableau, Power BI)
Publication record or speaking engagements in data science or related fields
Expertise in specific domains relevant to CACI's work (e.g., cybersecurity, intelligence analysis)
This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.________________________________________________________________________________________
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Your potential is limitless. So is ours.
Learn more about CACI here.
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Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$82,100-$172,400CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.