Data Analyst

CACI International • Washington, DC

9d • $72,700 - $149,200 • Onsite

About The Position

The Data Analyst within the CACI Data Analytics lab is responsible for providing data analytics support for projects related to investigations and litigation cases. This includes supporting projects from initiation to closure, developing deliverables and occasionally serving as a primary point-of-contact for attorneys, investigators, and case teams. Data Analysts integrate a wide variety of data types and formats from primary and secondary sources through diverse channels using a combination of methods that are researched and employed by the Data Analytics Lab Management team. Data Analysts develop, maintain, and enforce streamlined and efficient processes for project lifecycles, from collection through transformation of data, and assist senior staff in the creation and finalization of client deliverables. Data analysts will occasionally manage the collection, documentation, vetting and onboarding of data, including database development and set up, and the loading of data into the appropriate analytical tools. Must have the ability to guide and assist other team members as required. The data analyst is responsible for defining, developing, and communicating data analytics solutions to support the customer. This includes: Corresponding with key case personnel to elicit requirements and provide regular status updates, Performing data analysis and modeling to understand and identify data relationships/trends/classifications/predictions, Proposing reporting solutions that best present the information to the end user, and Delivering the completed solution. This position requires strong analytical, problem solving, and communication skills with a keen attention to detail. Additionally, the problems and toolset are quite varied, and the candidate should take the initiative to attack new challenges and learn new skills independently. This person must be well organized and flexible.

Requirements

• Significant experience in one or more of the following tools is required: Tableau Software, IBM i2 Analyst Notebook, ESRI ArcGIS Pro
• Experience with the following types of Database: SQL Server, Oracle, PostgreSQL, MySQL
• Programming and/or scripting (Python, R, Java)
• Background in Law Enforcement, Data Science, Investigations, Data Analysis, Computer Information Systems, or Statistics
• Industry analytics/business intelligence knowledge including current industry trends, challenges, and data quality approaches
• Deep understanding of database, ETL, and analytics tools and concepts
• Must be able to work independently and prioritize work effectively, as well as to function as an effective team member in a local and virtual team development environment
• Strong analytical and problem-solving skills with an unsurpassed attention to detail
• Excellent communication (written and verbal) skills
• Experience supporting federal agencies

Nice To Haves

• Diverse experience and skills in data analysis, litigation support, statistical software, analytic programming languages (Python, R, Java, SAS), visualization software, and database management.

Responsibilities

• Providing data analytics support for projects related to investigations and litigation cases.
• Supporting projects from initiation to closure, developing deliverables and occasionally serving as a primary point-of-contact for attorneys, investigators, and case teams.
• Integrating a wide variety of data types and formats from primary and secondary sources through diverse channels using a combination of methods.
• Developing, maintaining, and enforcing streamlined and efficient processes for project lifecycles, from collection through transformation of data.
• Assisting senior staff in the creation and finalization of client deliverables.
• Managing the collection, documentation, vetting and onboarding of data, including database development and set up, and the loading of data into the appropriate analytical tools.
• Guiding and assisting other team members as required.
• Defining, developing, and communicating data analytics solutions to support the customer.
• Corresponding with key case personnel to elicit requirements and provide regular status updates.
• Performing data analysis and modeling to understand and identify data relationships/trends/classifications/predictions.
• Proposing reporting solutions that best present the information to the end user.
• Delivering the completed solution.

Benefits

• Flexible time off
• Robust learning resources
• Competitive compensation
• Competitive benefits
• Learning and development opportunities
• Comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed