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Data Analyst

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Junior Data Analyst: Supporting data-centric projects for a government customer, applying data science principles to national security challenges with an accent on analytical techniques. Focus on identifying trends and patterns in data, communicating findings to executive leadership, and collaborating with developers and engineers.

Location: Onsite in Omaha, NE

Company

hirify.global is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets.

What you will do

  • Gather and reformat data from primary and secondary sources for analysis.
  • Use Python and GIS tools to analyze datasets and identify trends and insights.
  • Prepare analytical reports to communicate findings to leadership.
  • Collaborate with developers, engineers, and stakeholders to recommend system improvements and data governance policies.
  • Document the data analysis process for reproducibility and transparency.

Requirements

  • Active DoD TS/SCI clearance.
  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field.
  • At least 1 year of experience applying data analysis principles.
  • Intermediate proficiency with Python, including use of libraries like NumPy or pandas.
  • Familiarity with business intelligence (BI) methodologies, API integrations, and database design.
  • Experience with ESRI ArcGIS Pro, Survey123, or similar tools.

Nice to have

  • A certificate in Data Science or Data Engineering may supplement a non-technical degree.
  • Demonstrated ability to identify trends and build diagnostic or predictive models.
  • Experience preparing data-driven deliverables for non-technical leadership audiences.
  • Familiarity with git-based version control systems.
  • Exposure to DevSecOps or analytics development workflows.

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