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Administrative Support 🏢 Full Time ⭐️ Verified

Remote Virtual Assistant - Arlington, TX

Apex Operations Solutions
Arlington
Estimated Salary
USD 20 – USD 35
New
Live Update
21 Juni 2026
Deadline
21 Jun 2027

Job Description

We are seeking a highly organized and proactive Remote Virtual Assistant to join our dynamic team in Arlington, TX. In this pivotal role, you will provide essential administrative support to senior executives, ensuring seamless operations from a remote environment. If you are detail-oriented, tech-savvy, and thrive in a fast-paced setting, we invite you to apply.

Responsibilities

  • Manage complex calendars, schedule appointments, and coordinate domestic and international travel arrangements.
  • Handle email correspondence, screen incoming calls, and route urgent matters to the appropriate stakeholders.
  • Prepare detailed reports, presentations, and business documents using Microsoft Office Suite.
  • Conduct market research and compile data for strategic planning.
  • Organize and maintain digital and physical filing systems for efficient information retrieval.
  • Assist with project management tasks, including tracking deadlines and coordinating cross-functional team activities.
  • Process invoices, expense reports, and vendor communications.

Qualifications

  • Minimum of 2 years of experience as a Virtual Assistant or Administrative Assistant.
  • Fluent in English with excellent written and verbal communication skills.
  • Proficient in Google Workspace, Microsoft Office (Word, Excel, PowerPoint), and communication tools like Slack or Zoom.
  • Strong time management skills with the ability to prioritize tasks and meet tight deadlines.
  • Reliable high-speed internet connection and a dedicated home office setup.
  • Ability to maintain strict confidentiality and demonstrate professional discretion.
  • Self-motivated with a proactive approach to problem-solving.

Required Skills

Microsoft Office Google Workspace Calendar Management Email Management Travel Coordination Data Entry Scheduling Research

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