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Analytics Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Minute Media
Full Time position
Listed on 2026-02-24
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Mining
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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 Fan Sided as well as hundreds of sports leagues, teams, broadcasters, third‑party publishers and advertisers.

The technology platform includes, (i) STN Video, an online video platform (OVP), which provides access to a robust sports highlights rights portfolio, and (ii) Magnifi, an AI‑driven SaaS platform, that enables rights holders to detect key moments and create highlights in real time. Minute Media is building the future of how the world connects with sport, powered by innovation, shared globally, and trusted by millions of fans and the partners we serve.

Minute Media has offices in the US, UK, Israel, Brazil, Asia and India.

For more information, visit

We are seeking an analytical and tech‑savvy Analytics Engineer/ BI Developer to join our team, focusing on our B2B products and content cost analytics. You will bridge the gap between data and business for our publisher‑facing solutions. In this role, you’ll develop Business Intelligence solutions and insights that drive informed decisions for both Minute Media and our content partners. This includes building dashboards to track B2B product performance and analyzing content costs to help optimize our partnerships.

If you enjoy turning data into actionable business intelligence and thrive in a fast‑paced media environment, we’d love to meet you.

What You'll Do Content Cost Analytics & Reporting
  • Analyze and report on content costs (licensing, contributors) to assess impact on revenue, margins, and content ROI, and integrate these metrics into centralized data models and the Single Source of Truth in partnership with Data Engineering.
  • Automate monthly and quarterly content cost reporting by replacing manual spreadsheets with dynamic Looker dashboards, providing Finance and Partnerships teams with real‑time visibility into spend vs. returns.
BI Development for Partner Solutions
  • Design and build scalable data sources, models, and feeds to support B2B analytics, including partner‑facing reporting in Voltax for content performance and earnings.
  • Develop and maintain intuitive Looker dashboards tracking key B2B KPIs (e.g., video usage, syndication metrics, revenue share), ensuring data accuracy, consistency, and stakeholder trust.
Insights & Collaboration
  • Collaborate cross‑functionally with Product, Finance, and Partnerships to translate business questions into data analysis and actionable insights.
  • Identify trends and optimization opportunities in partner usage and content costs, clearly communicating findings internally and occasionally supporting external partner reporting, enablement, and training.
  • Proactively improve analytics offerings by staying current on BI and digital media trends and recommending new metrics or visualizations.
Requirements What You Have
  • 3+ years of experience in data analytics, business intelligence, or a related role, ideally in tech, media, or digital content environments.
  • Strong SQL skills with experience writing complex queries and transforming data in cloud data warehouses (e.g., Big Query, Athena), along with a solid understanding of data modeling and ETL processes (e.g., Rivery or similar tools).
  • Proven experience building dashboards and reports in BI tools, with Looker strongly preferred (or Tableau/Power BI with ability to ramp quickly).
  • Strong analytical mindset with excellent attention to detail, able to ensure data integrity, uncover insights, and balance hands‑on technical work with high‑level analysis and interpretation.
  • Strong communication and presentation skills, capable of translating complex data findings into clear, business‑friendly language and visuals.
  • Self‑motivated and curious, with a strong interest in understanding how products work and how data can drive improvement.
  • BA/BSc or Master’s degree in Data Science, Analytics, Computer Science, or a related field (or…
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