Remote Data & Digital Solutions Analyst — AI/Automation

Raytheon

Phoenix (AZ)

On-site

USD 87,000 - 165,000

Full time

6 days ago
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Benefits offered by this job

Remote work

Job summary

RTX is seeking a remote data analytics professional to develop and deliver data, analytics, automation, and digital solutions that improve engineering and business outcomes.

You will translate complex data into actionable insights, build dashboards, automate workflows with Power Automate, and manage SharePoint sites while partnering with cross-functional teams. Expect involvement with AI/ML and digital engineering capabilities.

Qualifications

  • Bachelor’s degree in STEM preferred.
  • Hands-on experience with Microsoft 365 Power Applications (Power BI, Power Automate, Power Apps, SharePoint).
  • Experience with large datasets and data visualization.
  • Advanced Excel (formulas, pivot tables, data analysis).

Responsibilities

  • Develop and deliver data, analytics, automation, and digital solutions for engineering and business outcomes.
  • Translate complex data into actionable insights via dashboards, visualizations, and decision-support tools.
  • Identify opportunities to automate processes and improve efficiency.
  • Partner with engineers and leaders to solve complex problems and deliver scalable solutions.
  • Support adoption of emerging technologies including AI/ML and digital engineering capabilities.
  • Build and maintain automated workflows using Power Automate and Power Apps and manage SharePoint sites.

Skills

Data visualization
Analytical thinking
Problem solving
Communication
Excel advanced

Education

Bachelor’s in STEM

Tools

Power BI
Power Automate
Power Apps
SharePoint

Job description

RTX is seeking a remote data analytics professional to develop and deliver data, analytics, automation, and digital solutions that improve engineering and business outcomes.

You will translate complex data into actionable insights, build dashboards, automate workflows with Power Automate, and manage SharePoint sites while partnering with cross-functional teams. Expect involvement with AI/ML and digital engineering capabilities.

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