Junior Data Analyst

QualX Corporation
Springfield, VA, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Word Microsoft Excel Artificial Intelligence Spreadsheets Machine Learning Microsoft Office Microsoft PowerPoint Information Technology Data Analytics

Job description

Enterprise Acquisition Life Cycle and Program Management Support. The purpose of this task area is to provide end-to-end life cycle acquisition planning and procurement related acquisition support services (Pre and Post Award) for the DIA enterprise.

  • Develop and integrate existing DIA systems, maintenance of descriptive, diagnostic, predictive and prescriptive analytics.
  • Analyze using the interpretation of historical data, using statistics and modeling to determine future performance, use of artificial intelligence and other emerging technologies to help DIA make better decisions by factoring in knowledge of possible situations.
  • Develops and promotes data analytics technology innovation that results in greater mission impact.
  • Supports development, deployment and operations of a variety of multi-Intelligence, advanced data analytics and data science missions, using DODIIS and Intelligence Community Information Technology Enterprise at the Unclassified, Secret and Top Secret development environments, address systemic intelligence problems to collect, analyze, exploit and store mission data to achieve mission objectives through the application of data science innovations such as Machine Learning, Artificial Intelligence and Data Analytics technology.
  • Additional duties as assigned.

Requirements

Do you have experience in Spreadsheets?, Do you have a Bachelor’s degree?, * TS/SCI with CI Polygraph.

  • Require 2-4 years’ experience performing relevant actions specific to labor category, with relevant experience within the last 2 years. Typically requires oversight and is directed in several aspects of the work.
  • Bachelor’s Degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education.
  • Meets all qualifications and skills of a Mid-Level, to include:
  • Demonstrates working knowledge of the concepts involved in the functions outlined in the specified labor category description.
  • Knowledgeable of and demonstrates ability to apply Intelligence Community (IC) and
  • Department of Defense (DoD) classification guidelines and procedures.
  • Demonstrates ability to work semi-independently, adhering well to oversight and direction.
  • Demonstrates ability to use logic when evaluating and synthesizing multiple sources of information.
  • Demonstrates understanding of interpreting program management and/or acquisition data and documents to include, but not limited to, its meaning, importance, and implications.
  • Demonstrates ability to defend analytic judgements with sound, logical conclusions and adapt analytic judgments when presented with new information, evolving conditions, or unexpected developments.
  • Demonstrates ability to produce timely, logical, and concise reports, documents, assessments, studies, and briefing materials in formats including Microsoft Office tools (e.g., Excel, Word, PowerPoint, etc.), electronic / soft copy matrices and / or web-enabled formats.
  • Demonstrates ability to communicate complex issues clearly in a concise and organized manner both verbally and non-verbally, with strong grammar skills.
  • Demonstrates proficiency using Microsoft Office tools.
  • Demonstrates ability to develop structured research including, but not limited to, obtaining, evaluating, organizing, and maintaining information in consideration of Agency security and data protocols.
  • Demonstrates ability to recognize nuances and resolve contradictions and inconsistencies in information.
  • Demonstrates working knowledge using complex analytic methodologies, such as structured analytic techniques or alternative approaches, to examine biases, assumptions, and theories to eliminate uncertainty, strengthen analytic arguments, and mitigate surprise.

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