Źródło: CrawlJobs

YouTube Data Analyst

LADbible Group London, Wielka Brytania
Praca hybrydowa

Data publikacji: 31.08.2026

LADbible Group is one of the world’s most engaged digital entertainment businesses, reaching over a billion people globally and amassing more than 13.9 billion social views each month. YouTube is one of our biggest growth engines, home to some of the most distinctive channels, including LADbible Entertainment, LADbible Stories and SPORTbible. Our YouTube team is growing, and we are on the proactive lookout for a Data Analyst in media industries. The Data Analyst produces insight that drives decisions across the YouTube team and informs the Originals commissioning pipeline.

Responsibilities

Channel Performance - Analyse YouTube channel performance across watch time, CTR, audience retention, subscriber growth, CPMs, return viewers, and audience share to identify trends, risks, and growth opportunities; Dashboard Management - Build, maintain, and optimise live reporting dashboards using Looker Studio and BigQuery, ensuring stakeholders have access to accurate, actionable performance data; External Intelligence - Conduct competitive and market intelligence using tools such as Tubular Labs, Social Blade, and platform analytics to benchmark performance and identify emerging category trends; Format Growth and Analysis - Deliver audience, content format, and growth analysis to inform channel strategy, content investment decisions, and new channel or format opportunities; Portfolio Growth Tracking - Monitor portfolio performance against targets, proactively flagging underperformance and providing data-driven recommendations to support business and commercial objectives

Requirements

Proven experience in data analytics or digital/media analytics, ideally within YouTube, social media, or digital publishing environments; Experience analysing YouTube performance metrics, including watch time, audience retention, CTR, subscriber growth, RPM/CPM, and viewer behaviour; Ability to interpret large datasets and translate findings into clear commercial recommendations; Proficiency in BigQuery, SQL, Looker Studio, and data visualisation best practices; Familiarity with competitive intelligence and social analytics tools such as Tubular Labs, Social Blade, or similar platforms; Excellent stakeholder management and communication skills, with the ability to present insights to both technical and non-technical audiences
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