Social Media Executive - Part time

  • Twine
  • United Arab Emirates
  • Part-time
  • Remotely

وصف الوظيفة

About Twine

We're a thriving ecosystem of top-tier freelancers from around the world. Trusted by Fortune 500 companies and Silicon Valley startups, Twine is the go-to platform for mission-critical projects. With over half a million registered freelancers and a growing roster of 35,000+ companies, we've become the comprehensive solution for freelancing.

Our Mission

At Twine, we recognise that companies require a flexible approach to hiring expert freelancers for their most critical projects. Traditional freelance platforms often fall short when it comes to scalability and diversity. That's where we shine. Twine operates as a thriving global freelance network, with diverse experts across various fields, including marketing, engineering, and AI. Our core mission is to empower creators, whether they're businesses or individual freelancers, to thrive in their creative endeavours.

About the Role

Our client, a Dubai-based construction project management consultancy is seeking a part-time, remote social media manager to handle their online presence. This long-term contract position involves managing social media advertisements, campaigns, and optimisation using company-provided content. The role is ideal for a skilled social media professional looking to grow with a specialised consultancy in the construction industry.

Responsibilities:

  • Manage and optimise social media accounts across various platforms
  • Create and execute social media advertising campaigns
  • Analyse social media metrics and adjust strategies for optimal performance
  • Schedule and post content provided by the company

متطلبات الوظيفة

  • Proven experience in social media management, or a strong beginner with relevant skills
  • Proficiency in social media platforms including LinkedIn, Twitter, Facebook, and Instagram
  • Experience with social media advertising and campaign management
  • Knowledge of social media analytics tools and ability to interpret data