Data Analyst

VTG

• $80K — $95K *
Aerospace & Defense
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • TS/SCI with Poly required
  • Proven ability in advanced data analysis techniques
  • Experience in deriving actionable insights from operational data
  • Skilled in developing and deploying metrics and scripts for dashboards
  • Knowledgeable about emerging technologies relevant to data analysis

Responsibilities

  • Develop and deploy advanced methods for operational data analysis
  • Analyze data to identify trends and provide operational insights
  • Create and implement new metrics and KPIs for dashboards
  • Stay current with emerging technologies and systems
  • Identify and resolve data quality issues effectively

Benefits

  • Flexible work location between Springfield and Reston, VA
  • Opportunity to work on advanced data analysis in a dynamic environment
  • Continuous learning and development opportunities
  • Collaboration with cutting-edge technology initiatives
  • Supportive organizational culture focused on innovation
Full Job Description
Overview

VTG is seeking a Data Analyst in Reston VA and Springfield VA. Position location will vary between the customer site in Springfield and Reston VA.

What will you do?

  • Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights.
  • Analyze extracted data, identify trends, and provide insights and analyses around operations and project data.
  • Develop and implement new metrics, functions, and scripts as KPIs and in existing Dashboards as needed.
  • Stay up-to-date with emerging technologies and systems of need for organization initiatives.
  • Identify data quality issues; develop and implement solutions.

Do you have what it takes?

  • TS/SCI with Poly
  • Ability to:
    • Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights.
    • Analyze extracted data, identify trends, and provide insights and analyses around operations and project data.
    • Develop and implement new metrics, functions, and scripts as KPIs and in existing Dashboards as needed.
    • Stay up-to-date with emerging technologies and systems of need for organization initiatives.
    • Identify data quality issues; develop and implement solutions.

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