Junior Editorial Analytics Associate

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    "description_html": "<p><strong>About the Team: </strong></p><p>The Data & Digital team distributes the South China Morning Post’s award-winning journalism across platforms and makes targeted recommendations to the newsroom to improve traffic, engagement and subscriptions.</p><p>Working closely with Editorial, Product and Audience teams, we turn complex quantitative and qualitative signals into clear direction for the newsroom, helping editors understand what content drives reader engagement, trust and loyalty.<br> </p><p><strong>Purpose of the Position:</strong></p><p>We are looking for a junior editorial analytics associate to help scale our use of AI-driven research and performance analysis for the newsroom.</p><p>You will work directly with a senior editorial analytics lead to turn data and AI outputs into concise, actionable insights for editors who may have limited business or analytics background, ensuring every deliverable is clear, practical and easy to act on.<br> </p><p><strong>In this role, you will: </strong></p><ul><li style=\"list-style-type:disc;\"><strong>Support AI‑driven editorial research and analytics</strong> by running structured workflows, preparing inputs and helping shape AI outputs into newsroom-ready briefings and reports.</li><li><strong>Translate data and AI findings into plain newsroom language</strong>, highlighting what it means for coverage, what actions to take, and what to monitor next, without unnecessary jargon.</li><li><strong>Take ownership of smaller analytics and research projects</strong> under senior supervision, from refining the question to packaging outputs for specific desks or editors.</li><li><strong>Operate and quality‑check AI workflows</strong> (prompts, templates or agents), validating results against source data, flagging issues and suggesting improvements.</li><li><strong>Document processes and checklists </strong>for recurring tasks, so reports and AI workflows can be repeated reliably and scaled as demand grows.</li><li><strong>Respond to ad‑hoc editorial questions with structured analysis</strong>, supporting editors with quick diagnostics on why a package performed as it did and what can be learned.</li><li><strong>Collaborate with editors and audience teams in Hong Kong</strong>, participating in relevant meetings, listening for information needs and ensuring insights are understood and actionable.</li><li><strong>Monitor for anomalies and opportunities in performance data</strong>, such as spikes in engagement, underperforming content or shifts in reader behaviour, and surface them with clear hypotheses.</li></ul><p><br><br><strong>Skills and Experience that will lead to success:</strong><br> </p><ul><li style=\"list-style-type:disc;\"><strong>Based in Hong Kong</strong>, with the ability to work closely with our newsroom and align to local editorial rhythms.</li><li><strong>Excellent written and spoken English</strong>, especially the ability to explain analytical and AI-driven findings clearly to non‑technical editors and reporters.</li><li><strong>Strong analytical mindset</strong>, with experience working with quantitative information through studies, internships or 0–3 years in an analytics, operations or newsroom role.</li><li><strong>High comfort with spreadsheets</strong> (Google Sheets/Excel) for data cleaning, pivot tables and basic charts; ready to learn SCMP’s internal analytics and BI tools.</li><li><strong>Demonstrated interest in generative AI tools</strong> and willingness to use them daily as part of structured workflows (for research, synthesis, explanation or simple analysis).</li><li><strong>Attention to detail and reliability</strong>, including double‑checking numbers and AI outputs before they are shared, and a habit of maintaining and improving checklists and documentation.</li><li><strong>Genuine interest in journalism and audience behaviour</strong>, and curiosity about how data and AI can support better editorial decisions.</li><li>Experience or internship in a digital newsroom, analytics, strategy consulting or a related role.</li></ul><p style=\"line-height:1.38;\"><strong>Nice to have</strong></p><ul><li style=\"list-style-type:disc;\">Basic familiarity with <strong>SQL or BI tools </strong>(e.g. GA4, Adobe Analytics, Chartbeat/Parse.ly, Looker/Data Studio, Tableau or similar).</li><li>Exposure to <strong>Python or R </strong>for data cleaning or analysis, or experience working alongside data scientists or analysts.</li><li>Experience using <strong>LLMs/AI tools to accelerate work</strong> (e.g. for research synthesis, drafting or code assistance), and comfort giving clear feedback when outputs are wrong.</li><li>Cantonese and/or Mandarin language skills and familiarity with Hong Kong and Mainland China news.</li></ul><p>Work location will be at Causeway Bay office.<br><br>Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at ​<a href=\"https://corp.scmp.com/privacy-policy/\">corp.scmp.com/privacy-policy</a>.</p>",
    "description_text": "About the Team:\n The Data & Digital team distributes the South China Morning Post’s award-winning journalism across platforms and makes targeted recommendations to the newsroom to improve traffic, engagement and subscriptions.\n Working closely with Editorial, Product and Audience teams, we turn complex quantitative and qualitative signals into clear direction for the newsroom, helping editors understand what content drives reader engagement, trust and loyalty.\n Purpose of the Position:\n We are looking for a junior editorial analytics associate to help scale our use of AI-driven research and performance analysis for the newsroom.\n You will work directly with a senior editorial analytics lead to turn data and AI outputs into concise, actionable insights for editors who may have limited business or analytics background, ensuring every deliverable is clear, practical and easy to act on.\n In this role, you will:\n Support AI‑driven editorial research and analytics by running structured workflows, preparing inputs and helping shape AI outputs into newsroom-ready briefings and reports.\n Translate data and AI findings into plain newsroom language , highlighting what it means for coverage, what actions to take, and what to monitor next, without unnecessary jargon.\n Take ownership of smaller analytics and research projects under senior supervision, from refining the question to packaging outputs for specific desks or editors.\n Operate and quality‑check AI workflows (prompts, templates or agents), validating results against source data, flagging issues and suggesting improvements.\n Document processes and checklists for recurring tasks, so reports and AI workflows can be repeated reliably and scaled as demand grows.\n Respond to ad‑hoc editorial questions with structured analysis , supporting editors with quick diagnostics on why a package performed as it did and what can be learned.\n Collaborate with editors and audience teams in Hong Kong , participating in relevant meetings, listening for information needs and ensuring insights are understood and actionable.\n Monitor for anomalies and opportunities in performance data , such as spikes in engagement, underperforming content or shifts in reader behaviour, and surface them with clear hypotheses.\n Skills and Experience that will lead to success:\n Based in Hong Kong , with the ability to work closely with our newsroom and align to local editorial rhythms.\n Excellent written and spoken English , especially the ability to explain analytical and AI-driven findings clearly to non‑technical editors and reporters.\n Strong analytical mindset , with experience working with quantitative information through studies, internships or 0–3 years in an analytics, operations or newsroom role.\n High comfort with spreadsheets (Google Sheets/Excel) for data cleaning, pivot tables and basic charts; ready to learn SCMP’s internal analytics and BI tools.\n Demonstrated interest in generative AI tools and willingness to use them daily as part of structured workflows (for research, synthesis, explanation or simple analysis).\n Attention to detail and reliability , including double‑checking numbers and AI outputs before they are shared, and a habit of maintaining and improving checklists and documentation.\n Genuine interest in journalism and audience behaviour , and curiosity about how data and AI can support better editorial decisions.\n Experience or internship in a digital newsroom, analytics, strategy consulting or a related role.\n Nice to have\n Basic familiarity with SQL or BI tools (e.g. GA4, Adobe Analytics, Chartbeat/Parse.ly, Looker/Data Studio, Tableau or similar).\n Exposure to Python or R for data cleaning or analysis, or experience working alongside data scientists or analysts.\n Experience using LLMs/AI tools to accelerate work (e.g. for research synthesis, drafting or code assistance), and comfort giving clear feedback when outputs are wrong.\n Cantonese and/or Mandarin language skills and familiarity with Hong Kong and Mainland China news.\n Work location will be at Causeway Bay office.\nOur Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at ​ corp.scmp.com/privacy-policy .",
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      "description": "<p><strong>About the Team: </strong></p><p>The Data & Digital team distributes the South China Morning Post’s award-winning journalism across platforms and makes targeted recommendations to the newsroom to improve traffic, engagement and subscriptions.</p><p>Working closely with Editorial, Product and Audience teams, we turn complex quantitative and qualitative signals into clear direction for the newsroom, helping editors understand what content drives reader engagement, trust and loyalty.<br> </p><p><strong>Purpose of the Position:</strong></p><p>We are looking for a junior editorial analytics associate to help scale our use of AI-driven research and performance analysis for the newsroom.</p><p>You will work directly with a senior editorial analytics lead to turn data and AI outputs into concise, actionable insights for editors who may have limited business or analytics background, ensuring every deliverable is clear, practical and easy to act on.<br> </p><p><strong>In this role, you will: </strong></p><ul><li style=\"list-style-type:disc;\"><strong>Support AI‑driven editorial research and analytics</strong> by running structured workflows, preparing inputs and helping shape AI outputs into newsroom-ready briefings and reports.</li><li><strong>Translate data and AI findings into plain newsroom language</strong>, highlighting what it means for coverage, what actions to take, and what to monitor next, without unnecessary jargon.</li><li><strong>Take ownership of smaller analytics and research projects</strong> under senior supervision, from refining the question to packaging outputs for specific desks or editors.</li><li><strong>Operate and quality‑check AI workflows</strong> (prompts, templates or agents), validating results against source data, flagging issues and suggesting improvements.</li><li><strong>Document processes and checklists </strong>for recurring tasks, so reports and AI workflows can be repeated reliably and scaled as demand grows.</li><li><strong>Respond to ad‑hoc editorial questions with structured analysis</strong>, supporting editors with quick diagnostics on why a package performed as it did and what can be learned.</li><li><strong>Collaborate with editors and audience teams in Hong Kong</strong>, participating in relevant meetings, listening for information needs and ensuring insights are understood and actionable.</li><li><strong>Monitor for anomalies and opportunities in performance data</strong>, such as spikes in engagement, underperforming content or shifts in reader behaviour, and surface them with clear hypotheses.</li></ul><p><br><br><strong>Skills and Experience that will lead to success:</strong><br> </p><ul><li style=\"list-style-type:disc;\"><strong>Based in Hong Kong</strong>, with the ability to work closely with our newsroom and align to local editorial rhythms.</li><li><strong>Excellent written and spoken English</strong>, especially the ability to explain analytical and AI-driven findings clearly to non‑technical editors and reporters.</li><li><strong>Strong analytical mindset</strong>, with experience working with quantitative information through studies, internships or 0–3 years in an analytics, operations or newsroom role.</li><li><strong>High comfort with spreadsheets</strong> (Google Sheets/Excel) for data cleaning, pivot tables and basic charts; ready to learn SCMP’s internal analytics and BI tools.</li><li><strong>Demonstrated interest in generative AI tools</strong> and willingness to use them daily as part of structured workflows (for research, synthesis, explanation or simple analysis).</li><li><strong>Attention to detail and reliability</strong>, including double‑checking numbers and AI outputs before they are shared, and a habit of maintaining and improving checklists and documentation.</li><li><strong>Genuine interest in journalism and audience behaviour</strong>, and curiosity about how data and AI can support better editorial decisions.</li><li>Experience or internship in a digital newsroom, analytics, strategy consulting or a related role.</li></ul><p style=\"line-height:1.38;\"><strong>Nice to have</strong></p><ul><li style=\"list-style-type:disc;\">Basic familiarity with <strong>SQL or BI tools </strong>(e.g. GA4, Adobe Analytics, Chartbeat/Parse.ly, Looker/Data Studio, Tableau or similar).</li><li>Exposure to <strong>Python or R </strong>for data cleaning or analysis, or experience working alongside data scientists or analysts.</li><li>Experience using <strong>LLMs/AI tools to accelerate work</strong> (e.g. for research synthesis, drafting or code assistance), and comfort giving clear feedback when outputs are wrong.</li><li>Cantonese and/or Mandarin language skills and familiarity with Hong Kong and Mainland China news.</li></ul><p>Work location will be at Causeway Bay office.<br><br>Our Privacy Notice aims to comply with all relevant data privacy and protection laws. You should read the Privacy Notice in full at ​<a href=\"https://corp.scmp.com/privacy-policy/\">corp.scmp.com/privacy-policy</a>.</p>",
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