Data Analyst, Minute Media

• 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
• Not sure that you're 100% qualified but are up for the challenge? We want you to apply!

Desirable

• 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
• 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