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ITN

Archive Insights Analyst, ITN News Production

London
Posted about 20 hours ago
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About ITN

ITN is one of the UK’s leading independent content production companies, trusted for over 70 years to tell the world’s most important stories. From BAFTA- and Emmy-winning journalism and impactful factual content to creative entertainment and branded storytelling, ITN brings truth and innovation to every platform. Making over 70 hours of live programmes a week and reaching 1 billion digital views a month, we are a content powerhouse that has an ambition to keep growing, with audiences across the UK and around the world.

Our people are at the heart of our success. With a reputation built on integrity and creativity, ITN continues to evolve with an ambitious growth strategy — investing in new technology, premium content, and future talent. We’re proud to foster an inclusive, collaborative culture where everyone can thrive and help shape the next chapter of ITN’s story.

We are proud to be an equal opportunities employer where everyone’s contribution matters. We’re committed to building a culture that reflects the audiences we serve — one where people feel included, supported, and inspired to do their best work.

How We Work

At ITN, how we work is as important as what we do. Our values describe what you can expect when you work here — and what ITN expects of you.

  • Ambition – We set bold goals, take ownership, and keep learning. We look for new opportunities and better ways to make an impact.
  • Courage – We speak up with honesty and respect, challenge ideas constructively, and value open, direct communication.
  • Team – We collaborate, celebrate others’ successes, and make sure every voice is heard. We put the team’s success first.

We also recognise the importance of balance and wellbeing, so we welcome flexible working, part-time roles and job shares across all areas of ITN.

The Role

Archive Insights Analyst (YouTube Content ID)

This is a role for someone who gets excited by how data and insight can draw people into stories, video production and living histories.

A big part of the job is turning years of archive sales and usage signals into real, creatively coherent collections — working closely with existing archivists to shape packs that feel editorially smart and discovery-led.

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You’ll also be comfortable generating and presenting insight clearly, holding your own in conversations about rights, platform policy and commercial outcomes, and making the data legible to colleagues who don’t live in spreadsheets.

You’ll sit at the intersection of editorial judgement, rights management and platform performance, helping ITN make the most of its archive by combining YouTube Content ID expertise with data-driven curation. Content ID isn’t just a technical system here — it’s part of a wider strategy to track misuse, automate claiming/monetisation, and build the foundations for new creator-facing revenue routes.

Finally, this role is explicitly about modern analysis: you’ll help build and iterate AI agent models that can interrogate large datasets and surface patterns — and a working understanding of building agents in Copilot Studio is a genuine advantage.

Key Responsibilities

  • Data analysis & insight

    • Produce regular analysis using years of archive sales/royalty datasets (trend views, genre/theme performance, repeat customers, territories, seasonality, emerging demand)
    • Create clear outputs (dashboards / summaries / narratives) that translate complex signals into decisions: “what collections do we build next?”, “what should we digitise/foreground?”, “where is value being missed?”
    • Work collaboratively with colleagues who already handle sales reporting to ensure insight is consistent, explainable and usable
  • To help build and maintain YouTube Content ID operations

    • Maintain a working understanding of how Content ID supports misuse tracking and the operational pathways for claiming/blocking/monetising
    • Support workflows that help Content ID function as a commercial enabler (including creator/third-party routes where relevant)
    • Communicate Content ID concepts clearly to non-specialists (editorial colleagues, archivists, stakeholders)
  • Building AI agent models for analysis

    • Build and iterate AI agent models designed to interrogate large datasets and automate repeatable analysis (e.g., summarising month-by-month patterns, spotting anomalies, proposing collection themes based on demand clusters) working to briefs from more senior staff
    • Where appropriate, use Copilot Studio as part of the toolset (connectors, deployment into Teams/SharePoint) — or demonstrate equivalent agent-building experience elsewhere

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  • To assist with curation & assembly
    • Co-create archive collections with existing producers and archivists — using data and editorial judgement to select themes, identify gaps, and assemble coherent packages
    • Maintain a strong collaborative relationship with editorial staff and be able to explain why a collection works (and what data supports it)
    • Bonus mindset: genuine enthusiasm for old film and news stories; curiosity to explore and surface gems

These are the main requirements of the role and is not an exhaustive list of duties. It is intended to reflect the nature, range, and context of the work, which will change over time.

Key Requirements

  • Proven experience in data analysis, ideally involving content, archive, royalty or audience datasets
  • Strong understanding of YouTube Content ID, rights workflows and digital monetisation
  • Ability to turn data into clear recommendations and commercially useful curation ideas
  • Confidence working across editorial, archive, rights and technical teams
  • Experience using AI tools or agents to support repeatable analysis and insight generation
  • Strong communication skills and the ability to explain complex issues simply

Our people are at the heart of everything we do at ITN. It’s vital that our workforce reflects the diversity of both our audience and the wider society in the UK, so we actively seek candidates from diverse backgrounds and communities. Reasonable adjustments to the recruitment process will be offered, if required, due to a disability or health condition. We also recognise the importance of a good work life balance, so we do everything we can to accommodate flexible working, including part-time and job shares for all our roles. Please just let us know in your application, or at any stage throughout the process, if this is something you want to explore.

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Skills

Data Analysis
YouTube Content ID
Rights Management
Digital Monetisation
AI Agent Modeling
Copilot Studio
Archive Curation
Dashboard Creation
Trend Analysis
Stakeholder Communication
Editorial Judgement
Dataset Interrogation

Location

London, England, United Kingdom

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