Junior Data Analyst TS/SCI at Ninja Analytics
Leesburg, Virginia, USA -
Full Time


Start Date

Immediate

Expiry Date

12 Sep, 25

Salary

85000.0

Posted On

13 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Text Analytics, Mining, Learning Techniques, Security, Models, Pattern Recognition, Data Collection, Collaborative Environment, Statistics, R, Mathematics, Communication Skills, Computer Science, Scala, Python, Data Analysis

Industry

Information Technology/IT

Description

Junior Data Analyst – Ninja Analytics
Work Location: Ashburn, VA - 2 days per week, remote/hybrid
Security Clearance - Top Secret (TS)

DESCRIPTION & REQUIREMENTS

Ninja Analytics is looking for a Junior Data Analyst to join our team and contribute to the development of data-driven solutions that support critical national and homeland security efforts. In this role, you will assist in applying quantitative methods, machine learning techniques, and predictive models to address real-world challenges. You will support the team in working with large structured and unstructured datasets to help develop and improve models, tools, and applications that enhance decision-making processes.
Key responsibilities will include tasks like data collection, mining, text analytics, clustering, pattern recognition, and automated classification. You’ll also assist with entity resolution to improve risk assessment automation. The work we do has a direct impact on the safety and security of the United States, its citizens, visitors, and economy.
We are looking for candidates with some experience working with data in fast-paced environments, ideally with exposure to decision support tools or applications. While prior experience with advanced machine learning models is a plus, the focus will be on learning and growing in a collaborative environment. Applicants should be eager to adapt to evolving priorities, work with mission stakeholders, and apply emerging tools and techniques.

MINIMUM QUALIFICATIONS:

  • Education: HS Diploma/GED and 0-6 years or AS and 0-4 years or BS and 0-2 years
  • HS Diploma/GED and 0-6 years or AS and 0-4 years or BS and 0-2 years
  • Coursework related and/or prior internship related to data science/analytics
  • Prior NTE experience, preferably with proficiency in operational data analysis.
  • Knowledge of Python, R, Scala, or JavaScriptStrong written and verbal communication skills
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PREFERRED QUALIFICATIONS:

  • Bachelors Degree in Mathematics, Statistics, Computer Science, Physical Science Engineering or a related field
  • Strong written and verbal communication skills
  • A passion for low-level / embedded data/science analytics
  • Working knowledge or cloud computing/cloud storage
  • Prior NTC experience, preferably with proficiency in operational data analysis.

CLEARANCE REQUIREMENTS:

  • Must be a US Citizen and able to obtain and maintain a U.S. Customs and Border Protection (CBP) suitability prior to starting this position.

PHYSICAL REQUIREMENTS:

  • Must be able to be in a stationary position more than 50% of the time.
  • Must be able to communicate, converse, and exchange information with peers and senior personnel.
  • Constantly operates a computer and other office productivity machinery, such as a computer.

How To Apply:

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Responsibilities
  • Perform exploratory data analysis using statistical techniques to identify significant trends, patterns, correlations, and anomalies.
  • Independently identify solutions for assigned business problems, and routinely collaborate with Enterprise/Application architects, Database Architects, Data Scientists, and mission stakeholders.
  • Extract, clean, and transform data associated within an identified problem space to help build predictive models as well as develop appropriate supporting documentation.
  • Leverage knowledge of a variety of statistical and machine learning techniques learned within school
  • Execute projects including those intended to identify patterns and/or anomalies
  • Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior stakeholders throughout the project lifecycle through written as well as virtual reporting.
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