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Business Intelligence Analyst - Remote

Posted 13 weeks ago
Data Analysis
Full Time
USA

Overview

The BI Analyst will support data relations, advanced query processes, and SQL scripts to extract and compare GIS and business data. This role involves identifying data patterns and trends to guide senior analysts and software developers, developing BI reports and tools, and presenting findings to management.

In Short

  • Support data relations and advanced query processes.
  • Use SQL scripts to extract and compare GIS and business data.
  • Identify data patterns and trends for analysis.
  • Develop BI reports and tools.
  • Create visualizations to improve business insights.
  • Perform ETL processes.
  • Research new BI techniques and tools.
  • Train customers on BI technology.
  • Present findings to installation and Headquarters personnel.
  • Travel periodically to interface with customers.

Requirements

  • Degree in Computer Science, Statistics, or related field.
  • Power BI Certification preferred.
  • Advanced SQL and DAX skills.
  • Experience with GIS technology preferred.
  • 4-5 years of experience in a Data Analyst role.
  • Experience in building ML models with cloud-based tools.
  • Strong analytical skills.
  • Experience in technical writing.
  • Exceptional speaking skills for presentations.
  • Understanding of design and visualization best practices.

Benefits

  • Opportunity to work remotely.
  • Engagement with senior management.
  • Professional development in BI tools.
  • Exposure to GIS technology.
  • Collaboration with various teams.
Areli logo

Areli

Areli is a specialized technology company focused on providing robust database administration services for Department of Defense enterprise business systems. With a strong emphasis on ensuring database performance, integrity, and security, Areli operates in a dynamic environment that includes Azure SQL and Oracle 19c databases. The company is dedicated to maintaining compliance with stringent DoD guidelines and implementing best practices in database management, while fostering collaboration across various operational teams to enhance system stability and performance.

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