CACI

location-iconCACI

Data Analyst - T2

location-iconArlington, TN, 38002

jobtype-iconPart Time, Full Time

estimated-salary-icon$67,818 per year

dateposted-iconPosted 7 days ago

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location-iconActively Hiring

Data Analyst

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:

CACI's Business and Information Technology Solutions (BITS) Sector is seeking data analytics support for the Navy's Chief Information Officer (CIO) for the MyNavy HR enterprise who is responsible for executing the development and sustainment of all information technology (IT) capabilities supporting OPNAV N1. The CIO ensures that IT architecture, solutions, data, and operational performance efficiently meets the evolving mission and business needs across the entire MyNavy HR enterprise.

If you are a motivated individual looking to be a part of a critical mission, CACI would like to speak to you!

Responsibilities:

  • You will be responsible for maintaining knowledge of online analytical processing (OLAP) tools.
  • Gathers analytical requirements working with subject management experts.
  • Develops data frameworks for data analysis to support end-user data discovery.
  • Designs and develops data models that optimize analytical reporting performance.
  • Develops data extraction, transformation, cleansing, and loading processes between transactional and analytical systems.
  • Performs statistical analyses on data and predictive forecasting.
  • Analyzes and interprets results using statistical techniques.
  • Interpret trends or patterns in complex and data sets.

You will support MyNavy HR functional data management, data governance, and business intelligence and analytics. Review current practices in how data is procured, stored, managed, interpreted, analyzed, applied, and disposed of and ensure that those practices are aligned with ethical principles or core concepts such as "Impact on people, potential for misuse, and the economic value of data" as defined in the DAMA-DMBOK.

You will identify relevant data security requirements, define data security policy and standards, assess current security risks and implement controls and procedures. Plan, analyze, develop, and design data integration and interoperability solutions. Implement, and control activities necessary to store, protect, and access data found within electronic files and physical records (including graphics and images {e.g. scanned service record documents}. May also manage database operations to include planning for continuity, developing instances, monitoring performance, testing, and migration.

Develop and implement the techniques, processes, and policies necessary for the collection (Big Data) and analysis (Data Science, Analytics and Visualization) of many different types of data.

  • Bachelor's degree in information technology, computer science, mathematics, statistics, business, engineering, or physical science.
  • Six Years General Experience: Data Analysis, and/or Statistical Analysis, Problem Solving, and/or Content Management, and/or Software and Network Programming and/or Information Assurance, and/or Cybersecurity, and/or Electronic Documentation and/or Data Standardization and/or Electronic Documentation, and/or System Administration, and/or Network Administration, and/or Systems Testing, and/or Database Administration.

Specific Experience: Data Governance, Data Quality, and/or Test Data Management, Data and/or Architecture, and/or Data Security Programing (SQL, JAVA, Python, R), and/or Data Analysis Software (e.g., Excel, SAS, SPSS), and/or Knowledge of Database Query Language (e.g., SQL), and/or Report Creation and Data Visualization (Tableau and R Studio) Understanding of data analytics and visualization techniques.

Understanding of cloud-based computing and big data storage solutions.

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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 Arlington, TN, 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 Arlington, TN, US, several top employers are offering a variety of job opportunities. These include Angi, SAIC, 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 Arlington, TN, US.

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 data analyst job can be performed remotely, as the primary tasks involve analyzing and interpreting data, which can often be done independently and with the use of digital tools. However, the specifics may vary depending on the company's policies and the nature of the data being analyzed.

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.

A data analyst job can be challenging, as it requires strong analytical skills, proficiency in data manipulation tools, and the ability to interpret complex data sets. However, with the right training and experience, it can also be a rewarding and intellectually stimulating career.

Yes, a Data Analyst job can be a high-paying position, with the average salary ranging from $60,000 to $100,000 per year in the United States, depending on factors such as location, industry, and level of experience. However, salaries can vary significantly.

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.

Yes, a data analyst is indeed a tech job. They primarily work with data to analyze, interpret, and present complex information to help organizations make informed decisions. This role often involves using various technical tools and software for data manipulation and analysis.

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.

A data analyst analyzes and interprets complex data to help organizations make informed decisions. They use statistical and quantitative analysis methods to identify trends, patterns, and insights from data. They also create reports and visualizations to communicate their findings effectively.

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.