Data Visualization Analyst

Data Visualization Analyst

  • Remote

Roles and Responsibilities

  • You will be part of a small team working closely the government to deliver quality services.
  • Serve as team technical expert and consultant, expertise in advanced analytics modeling & data visualization.
  • Responsible for the correlation, design and development of compelling data visualizations collected from various sources and databases via a variety of techniques to be presented in written and oral methods to all levels of customer management.
  • Analyze data to identify known and unknown data relationships and patterns.
  • Transforming data sets through quantitative and qualitative analysis into compelling visuals that help inform decision making.
  • Ability to manipulate large data sets and use them to identify trends and reach meaningful conclusions to inform strategic business decisions.
  • Present data-driven insights and address questions from a non-technical audience.
  • Understand data gaps that tie data components together for visualization purposes.
  • Effectively partner with a cross-contractor team while receiving input from a non-technical client
  • Critically evaluate information gathered from multiple sources, reconcile, and identify gaps, uncover unmet business needs and work with data engineering, solution architect to create a finished solution.
  • Collaborate with other data professionals to extract data, create reports based on their findings, and monitor key performance indicators (KPIs) to determine business initiatives’ success.
  • Work with executives and other business leaders to identify opportunities for improvement.
  • Use knowledge of the specific data available, forecasting/analysis methods and visualization capabilities to enhance requirements and provide insightful suggestions to business stakeholders.


  • 5+ years of experience in data analysis, data management, data science, or operations research.
  • Proficiency with Microsoft PowerBI, Tableau, or other data visualization software.
  • Ability to transform raw data into effective visualization dashboards.
  • Experience in compiling, organizing, and cleaning data for dashboard or business intelligence tool input.

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