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- Tasks: Analyse AI traffic to uncover insights and drive product strategy.
- Company: Join a leading tech company shaping the future of sports content.
- Benefits: Competitive salary, hybrid work, health insurance, and career development opportunities.
- Why this job: Make a real impact in a fast-growing company with innovative analytics.
- Qualifications: Strong analytical skills, SQL experience, and a passion for data.
- Other info: Dynamic environment with a focus on diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Minute Media is a global technology and content company built for the future of sports consumption. Minute Media's proprietary technology platform enables the creation, distribution and monetization of digital content experiences, which powers Minute Media's portfolio of trusted content brands, including Sports Illustrated, The Players' Tribune, and FanSided as well as hundreds of sports leagues, teams, broadcasters, third-party publishers and advertisers. The technology platform includes STN Video, an online video platform (OVP) that provides access to a robust sports highlights rights portfolio, and Magnifi, an AI-driven SaaS platform that enables rights holders to detect key moments and create highlights in real time.
As part of this evolution, we are building new capabilities to understand, measure, and monetize how AI platforms interact with our content. We are hiring a Data Analyst, AI Content Intelligence to lead analysis of AI bot and crawler activity across our ecosystem. This role sits within the BI & Data function and works closely with Product, Engineering, and Commercial teams to turn emerging AI traffic signals into actionable insights, product direction, and revenue opportunities. This is a high-impact role for an analyst who is comfortable operating in ambiguity, enjoys building new measurement frameworks, and wants to influence how a publisher adapts to the AI era.
What You’ll Do
- Analyze AI bot and crawler traffic to understand how our content is accessed, consumed, and cited by AI platforms.
- Define and own KPIs for agentic traffic, including usage patterns, citation behavior, and content value signals.
- Build and maintain dashboards and reporting that provide leadership with a clear view of AI-driven content consumption.
- Ingest and model AI traffic data in BigQuery, enabling scalable analysis and long-term tracking.
- Identify high-value content assets and quantify their importance to AI platforms and models.
- Support the definition of licensable content products, such as APIs, feeds, or authorized access models, in collaboration with Product and Engineering.
- Translate technical findings into clear insights that support commercial discussions and partnership strategy.
- Monitor how other publishers package and license content for AI consumption and share relevant insights internally.
- Track authorized AI partner usage and monitor performance against agreed access models.
- Compare the performance and revenue potential of agentic traffic versus traditional ad-based traffic.
- Evaluate monetization and pricing approaches, including licensing and usage-based models, to support long-term revenue growth.
Requirements
- Strong analytical skills with experience deep-diving into large datasets and turning ambiguous questions into structured analysis.
- Advanced SQL skills, with hands-on experience working in BigQuery or similar data warehouses.
- Solid Python skills for data analysis and automation.
- Understanding of web architecture, including HTTP, user agents, and bot behavior.
- Experience working with cloud-based data stacks such as GCP or AWS.
- Ability to communicate insights clearly to non-technical stakeholders.
Advantage
- Experience in digital media, publishing, or subscription-based businesses.
- Familiarity with API-based products or data licensing models.
- Exposure to generative AI concepts or retrieval-augmented generation (RAG) architectures.
Why This Role
- Opportunity to help define a new analytics domain within Minute Media.
- High visibility and close collaboration with Product and Commercial leadership.
- Balance of foundational analytics work and forward-looking product discovery.
- Real ownership, from defining metrics to influencing strategy.
What You’ll Get
- Opportunity to make a meaningful impact in a fast-growing company.
- Career development opportunities & different skill-based workshops offered each quarter.
- Central London based office.
- Hybrid work model.
- Cycle to Work scheme.
- Hybrid vacation model.
- Extended parental leave.
- Private Health Insurance including mental health, dental and optical cover.
- Standard access to WellHub with options to upgrade to premium membership.
- Fun company events and celebrations with a focus on DEI each quarter.
- Community involvement opportunities, both in-person and remote.
Minute Media is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Not sure that you're 100% qualified but are up for the challenge? We want you to apply!
Data Analyst, AI Content Intelligence in London employer: 90min
Contact Detail:
90min Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst, AI Content Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Minute Media. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a mini-project or case study that highlights your analytical prowess with AI data. Bring it up during interviews to stand out.
✨Tip Number 3
Stay updated on trends! Keep an eye on how AI is changing content consumption. Being knowledgeable about the latest developments will impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Data Analyst, AI Content Intelligence in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and experience with SQL and Python. We want to see how you can dive into large datasets and turn complex questions into clear insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for the Data Analyst role. Mention specific experiences that relate to AI content intelligence and how you've tackled similar challenges in the past. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to communicate your insights and experiences, especially if they involve technical concepts. Remember, we want to understand your thought process easily!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Minute Media.
How to prepare for a job interview at 90min
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you’ll be working with, especially in relation to AI bot and crawler traffic. Brush up on your SQL and Python skills, and be ready to discuss how you’ve used them in past projects.
✨Understand the Company’s Tech Stack
Get a good grasp of Minute Media's technology platform and how it integrates with AI. Familiarise yourself with BigQuery and cloud-based data stacks like GCP or AWS, as this will show you’re prepared to hit the ground running.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle ambiguous situations or turn complex data into actionable insights. Think of examples from your experience where you’ve successfully navigated similar challenges.
✨Communicate Clearly and Confidently
Since you’ll need to translate technical findings for non-technical stakeholders, practice explaining your analysis in simple terms. This will demonstrate your ability to bridge the gap between data and decision-making.
