We are seeking a skilled data engineer to build a real-time analytics pipeline that leverages cutting-edge technologies to enhance audience engagement metrics for our streaming platform. The goal is to enable our content team to make data-driven decisions that improve viewer retention and satisfaction.
Our target users are content creators and marketing teams within our company who rely on real-time data insights to make informed decisions about content production and audience engagement strategies.
Our current data processing capabilities do not support real-time analytics, limiting our ability to react promptly to audience engagement trends. Without these insights, we risk delivering suboptimal content, impacting viewer retention and satisfaction.
The market is keen to invest in solutions that offer competitive advantages such as enhanced viewer engagement and increased retention rates, which directly translate to revenue impact through improved subscription and ad revenue.
Failure to implement real-time analytics could lead to decreased viewer engagement, loss of competitive edge, reduced subscription renewals, and a potential decline in ad revenues.
Currently, we rely on post-event batch processing for analytics, which delays insights and hinders our ability to respond to audience trends swiftly. Competitors using real-time data analytics are already gaining traction.
Our solution will leverage cutting-edge data technologies to provide instant, actionable insights, enabling content and marketing teams to make informed decisions that positively impact viewer satisfaction and retention.
Our go-to-market strategy focuses on leveraging these enhanced data capabilities to form strategic partnerships with advertisers and content distributors. We'll also harness data-driven campaigns to attract new subscribers and increase platform visibility.