Audience Development Optimization Strategist

This is a Full Time Job

As the Audience Development Optimization Strategist, you will help to strategically build and optimize audience for the Revision3 YouTube Channels. Using YouTube insights and analytics tools and other web data, you will continuously report on and make recommendations to grow viewership and an engaged subscriber base by working with all members of the audience development team.

With previous online video experience combined with your deep expertise in growing audiences and knowledge of online trends, you will set best practices for audience development. You will circulate knowledge and work directly with show teams to help them grow their audience. You're a problem solver by nature and your strategic thinking skills will be critical in devising new tactics and turning data into actionable information to both enhance content optimization and influence product development. You are someone who is a self-starter, intellectually curious and able to think with both sides of the brain. You are comfortable working in a results-driven environment, able to multi-task, social media savvy, have a strong interest in online video, and want to be part of an innovative team that is forging new ground and redefining the world of media.

Responsibilities

• Present analysis and recommendations to develop the Revision3 audience on YouTube.
• Develop analytical framework to create automated insightful reporting for the executive team, marketing and show teams.
• Provide ongoing analytic support for audience development and channel optimization.
• Lead/collaborate with other teams by setting priorities, brain-storming approaches, managing deliverables and validating findings
• Develop and Optimize traffic to YT channels via key traffic levers

Qualifications

• Distinctive problem solving and analytic skills with a high degree of analytical rigor.
• Previous experience with YouTube analytics and web audience optimization.
• Previous experience with YouTube Promoted Videos and TruVu
• BS/MS degree preferred with a strong academic record and emphasis on coursework of a quantitative nature (preferably statistics, computer science, mathematics, physics, statistics or economics).
• Comfort/experience working with large and/or complex data sets.