CACI

location-iconCACI

Data Analyst - Intelligence

location-iconWestminster, CO, 80036

jobtype-iconPart Time, Full Time

estimated-salary-icon$67,818 per year

dateposted-iconPosted 7 days ago

Apply Now

location-iconActively Hiring

Data Analyst - Intelligence Job Category: Intelligence Time Type: Part time Minimum Clearance Required to Start: TS/SCI with Polygraph Employee Type: Regular Percentage of Travel Required: Type of Travel: Anticipated Posting End: There is not an anticipated end date for this posting since applications are needed on an ongoing basis.

What You'll Get to Do

Perform in-depth data analysis in coordination with an interdisciplinary team of systems and data analysts to support national level customers. Create processes necessary to implement solutions into product baselines.

More About the Role

  • Analyze data sets based on customer requirements
  • Utilize mission management and assessment tools to conduct research and analysis
  • Develop innovative analysis techniques
  • Help improve tasking, reporting, and collection processes based on resource utilization
  • Assist the development of tools and processes that improve analysis and reporting:
  • Provide feedback on data files to ensure quality
  • Provide functional requirements to system developers to improve current software
  • Contribute new ideas to improve software and to create innovative solutions

You'll Bring These Qualifications

  • Technical degree in Computer Science, Engineering, Math, or Physics desired but not required for the right candidate
  • Minimum four year's experience in technical data analysis/data science
  • TS/SCI clearance with polygraph
  • Experience writing and reviewing technical data analysis reports and summaries
  • Technical writing skills
  • Ability to use technical analysis tools
  • Ability to work independently on complicated data analysis challenges
  • Ability to collaborate effectively with other analysts and with system developers

These Qualifications Would Be Nice to Have

  • Understanding of SIGINT
  • Python scripting
  • Linux OS familiarity

What We Can Offer You:

We've been named a Best Place to Work by the Washington Post.

Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

We offer competitive benefits and learning and development opportunities.

We are mission-oriented and ever vigilant in aligning our solutions with the nation's highest priorities.

For over 60 years, the principles of CACI's unique, character-based culture have been the driving force behind our success.

What You Can Expect:

A culture of integrity. At CACI, we place character and innovation at the center of everything we do.

An environment of trust. CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path.

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.

Pay Range:

The proposed salary range for this position is: $82,100 - 172,400 USD

CACI is an Equal Opportunity/Affirmative Action Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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FAQ's

Find the answers for the most frequently asked questions below

Are you looking for job openings with CACI near Westminster, CO, US? You'll find plenty of opportunities in nearby cities, including Falls Church, VA, Alexandria, VA, Dumfries, VA, Fairfax, VA, Herndon, VA, Manassas, VA, Vienna, VA, Leesburg, VA, Fredericksburg, VA, Warrenton, VA, Lovettsville, VA, Purcellville, VA, Baltimore, MD, Annapolis, MD, Bowie, MD, Laurel, MD, Berryville, VA, Hampstead, MD, Bladensburg, MD, Gaithersburg, MD. These locations offer remote jobs, part-time jobs, and full-time positions with CACI. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in Westminster, CO, US, several top employers are offering a variety of job opportunities. These include Amazon, Angi, Allied Universal, U.S. Department of Defense and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in Westminster, CO, US.

A Data Analyst is a professional who uses statistical methods, data modeling, and software tools to interpret and analyze data, providing insights to support decision-making in various fields, such as business, finance, or research. They often work with large datasets to identify patterns, trends, and correlations, and communicate their findings to stakeholders.

A Data Analyst typically follows these steps to analyze data: 1. Collect data from various sources. 2. Clean and preprocess the data to ensure its quality. 3. Analyze the data using statistical methods and data visualization tools to identify patterns, trends, and insights. 4. Interpret the findings and communicate them effectively to stakeholders.

Yes, a career as a Data Analyst can be very rewarding. It offers opportunities for continuous learning, problem-solving, and making data-driven decisions that impact businesses significantly. The demand for data analysts is high in various industries, ensuring job security and growth potential.

When speaking with a data analyst, you might ask: 1. Can you explain the data sources we're using and their quality? 2. How do you ensure the data's accuracy and integrity? 3. What insights have you found in the data that could help us make better decisions? 4. How do you visualize and present data to make it easily understandable for non-technical team members? 5. Can you walk me through a recent project you've worked on and the results you achieved? 6. How do you handle large datasets and what tools do you use for data analysis? 7. What recommendations do you have for improving our data collection and analysis processes?

Yes, a career as a Data Analyst is expected to remain strong in 2024. The increasing demand for data-driven decision making across various industries will continue to fuel job growth in this field. Additionally, the ongoing digital transformation and advancements in data technologies will create new opportunities for data analysts.

In the United States, the average annual salary for a Data Analyst is around $73,000, according to Glassdoor. However, salaries can vary widely depending on factors such as location, industry, and level of experience.

Yes, a data analyst is an IT job, as it primarily involves working with data, using various IT tools and software to analyze, interpret, and present complex data to help organizations make informed decisions.

Data analysts typically earn an average salary between $60,000 and $100,000 per year in the United States, depending on factors such as location, industry, and level of experience. However, salaries can vary significantly. For example, in Silicon Valley, data analysts may earn up to $150,000 or more annually.

Yes, a data analyst job can be stressful due to tight deadlines, high workload, and the need for meticulous attention to detail. However, the level of stress can vary depending on the specific work environment and the individual's ability to manage their workload effectively.

To become a Data Analyst, typically, you should follow these steps: 1. Earn a bachelor's degree in a relevant field such as mathematics, statistics, computer science, or information systems. 2. Gain proficiency in programming languages like Python, R, SQL, and data analysis tools like Excel, Tableau, or PowerBI. 3. Develop strong analytical, problem-solving, and communication skills. 4. Build a portfolio showcasing your data analysis projects and skills. 5. Consider obtaining a relevant certification, such as the Certified Analytics Professional (CAP) or SAS Certified Analytics Professional (SAS CAP). 6. Network within the industry and apply for relevant job openings.