Data Analyst at Ottscrape

About the Role

We are looking for a Data Analyst to extract and analyze structured datasets from HBO for entertainment analytics and viewer insights. This role focuses on leveraging streaming data scraping, viewer analytics, content trend analysis, and audience behavior insights to support OTT analysts, content strategists, media researchers, and data-driven teams.

Key Responsibilities

• →Extract content metadata including show and movie titles, genres, episode counts, release dates, cast, ratings, and descriptions
• →Analyze viewer engagement metrics such as views, watch time trends, repeat viewing behavior, interaction signals, and audience depth insights
• →Track trending and popular content, including most-watched programs, rising titles, season-based trend shifts, and content performance cycles
• →Identify audience preference signals like genre demand patterns, demographic behavior, regional viewing preferences, and consumption habits
• →Gather sentiment and review insights including ratings, reviews, sentiment trends, and viewer perception indicators
• →Conduct competitive benchmarking to compare HBO content engagement and trends with other streaming platforms
• →Support forecasting and strategy optimization using historical and real-time data to refine content planning and engagement strategies