Data Analyst

VTG

• $80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • TS/SCI with Poly required
  • Experience in operational data analysis
  • Proficient in developing metrics and scripts for dashboards
  • Familiarity with emerging data technologies
  • Strong analytical and problem-solving skills

Responsibilities

  • Develop and deploy advanced methods for data analysis
  • Analyze data to uncover trends and insights
  • Create new metrics and enhance existing dashboards
  • Stay current with technology advancements
  • Identify and resolve data quality issues

Benefits

  • Potential for remote work at multiple locations
  • Collaboration in a high-security setting
  • Opportunity to work with cutting-edge technologies
  • Impactful role in analyzing critical operational data
  • Professional growth in a specialized field
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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