Social Media Intern | BAVC

Social Media Intern

Praxi Data

1828 Forest View Avenue, Hillsborough, CA 94010-6366

Social Marketing
Internship
Remote
Deadline: 
February 26

We are looking for a highly-motivated social media content marketing intern with excellent writing and visual design skills to join our team. You’ll have the opportunity to partner closely with our design team and other founding team members during your internship, helping us to build our brand and messaging across marketing channels.  Leverage your digital marketing ninja skills!

Engage a dynamic user community by leading the creation of multimedia content to drive increased traffic to the Praxi Data website as followers, potential customers, and partners. We are a leader in Big Data & Analytics and need someone to evangelize our company’s innovations.

Responsibilities 

• Use your Magic Fu skills to execute digital content across all channels
• Drive process for generating and determining content, cultivating the ‘voice’ of Praxi Data
• Develop and maintain release schedule of original content, engaging Praxi Data community
• Coordinate with contributing authors and design team for visuals, final design, and layout
• Facilitate review and approval cycle, including editing and ensuring professional quality
• Deliver education/training/coaching on content marketing strategies
• Manage data analytics on visitors and followers
• Lead development and execution of Search Engine Optimization plan

Qualifications 

 

• Strong communication and writing skills
• Creative and savvy social media skills applicable to a startup
• Education, training, or work experience in content development, marketing, and/or communications
• Experience with WordPress, video, and design apps
• Comfortable using G-Suite applications: Google Docs, Sheets, and Slides
• Able to work collaboratively and independently
• Motivated and strong work ethic, able to work with limited guidance and resources
• Photo and video editing experience
• Flexible and able to commit 15 – 20 hours per week
• Business and/or industry understanding of Big Data + AI/ML domain and its potential