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Company: SPA
Location: United States of America
Career Level: Associate
Industries: Manufacturing, Engineering, Aerospace

Description

Qualifications

Required Qualifications:

  • At least 5+ years of relevant experience and a related Bachelor's degree
  • Strong command of programming languages including JSON and Python
  • Experience performing data analysis
  • Experience with machine learning and AI technology including Databricks
  • Experience with Microsoft Power Platform tools (Apps, Automate, BI)
  • Experience with Microsoft tools including MS Teams, Excel, SharePoint, etc.
  • Experience using web services including ADVANA and Vantage
  • Experience with and knowledge of data governance
  • Ability to work collaboratively, communicate effectively, and employ critical thinking within teams and with government stakeholders in a fast-paced environment
  • An active DoD SECRET security clearance, and the ability to maintain these throughout employment

Desired Qualifications:

  • Experience providing support to DoD/Army and experience working with and reporting to DoD government leadership


Responsibilities

We are seeking an Automation & Data Visualization Specialist to join our team in supporting the Installation Management Command's (IMCOM) Public Works Systems (PWS).

 

Your day-to-day work will include:

  •  Design, develop, and implement automated solutions across various business processes.
  • Conduct studies and build analytical models to develop insights to solve complex problems and support decision making.
  • Transform and architect data to be prepped for analysis, modeling, and visualization products.
  • Build data visualization products and interfaces to summarize results for stakeholders, including interactive dashboards capturing real time data and key performance indicators.
  • Design and develop visually appealing and informative reports and presentations summarizing key findings and recommendations.
  • Design and develop comprehensive training materials for visualizations.
  • Design and develop all data documentation, including code, data dictionaries, and other technical documentation.


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