Social Data & Insights Manager

We need to output only HTML fragment, with sections as needed. Must include headings for sections that have content: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must only include sections that have real specific content. Let's parse the posting. We have: - About the role: paragraph describing role. - Responsibilities: list of duties (What you will be doing). That's a list. - Requirements/Qualifications/Skills: The posting has "What you need to be great in this role:" which includes bullet-like sentences. Could be considered Requirements or Skills. We need to decide which sections to include. The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). We can choose appropriate headings based on content. We have content for: - About the role: yes. - Responsibilities: yes (list of duties). - Requirements: maybe the "What you need to be great in this role:" includes proficiency, ability, understanding, experience, confident, comfortable, etc. That could be Requirements or Skills. We could split into Requirements (proficiency, ability, understanding, experience) and Skills (clear communicator, comfortable creating presentations, Gen AI & Agentic Thinking). But we must not create thin sections. Better to combine into one section like Requirements (or Skills). The instruction says prefer a few substantive sections over many thin ones. So we could have one section "Requirements" that includes all those bullet points. We also have Pay: Salary Range: $102,000 USD - $114,000 USD. That's specific, so we should include Pay section. Benefits: Not mentioned explicitly. There's mention of total compensation package but not specific benefits. So we should not include Benefits. Schedule: Not mentioned. So omit. Qualifications: Could be considered same as Requirements. We'll not duplicate. Thus sections: About the role, Responsibilities, Requirements, Pay. We need to format:

About the role

...

Responsibilities

• ...
...

Requirements

• ...
...

Pay

Salary Range: $102,000 USD - $114,000 USD

We must preserve all substantive information, not invent or summarize away detail. Need to include all responsibilities list items exactly as given (maybe rephrase? Must preserve detail, not invent or summarize away detail. We can copy the sentences as list items. Responsibilities list from posting: - Build and maintain social listening queries across platforms such as Talkwalker, Brandwatch, Sprout Social, and Sprinklr to track brand health, audience sentiment, and content trends - Analyse organic and paid social metrics to assess content and campaign performance across major platforms (Meta, TikTok, LinkedIn, X, YouTube) - Craft clear, insight-led narratives from performance data that directly inform creative decisions and strategic recommendations - Develop and maintain weighted social metric frameworks using Microsoft Excel and Microsoft AI tools to surface meaningful, comparable performance signals - Synthesise data from multiple platforms into structured, accessible reports for internal teams and client stakeholders - Partner with creative, strategy, and account teams to integrate insights into campaign planning and content development - Monitor the competitive and cultural landscape using social listening to identify emerging audience behaviours and platform trends - Contribute to the ongoing evolution of the studio's data tools, reporting infrastructure, and measurement standards We need to keep the spelling (British vs American) as is? Keep as given. Now Requirements: list items from "What you need to be great in this role:" The posting includes several bullet-like sentences separated by line breaks? Let's extract: - Proficiency with social listening and analytics platforms such as Talkwalker, Brandwatch, Sprout Social, or Sprinklr - Ability to build effective listening queries that surface relevant, high-quality data from social platforms - Solid understanding of organic and paid social metrics — what they measure, how they interact, and what they mean for creative performance - Experience crafting data-driven narratives that connect performance signals to clear creative and strategic conclusions - Confident working in Microsoft Excel, including building structured data models and weighted metric formulas; familiarity with Microsoft AI tools is a plus - Clear, structured communicator — able to translate complex data into accessible insights for non-technical audiences - Comfortable creating and leading client-facing presentations - Gen AI & Agentic Thinking - Proficiency with Gen AI tools relevant to data analysis and insights workflows, with genuine curiosity about how AI can enhance data processing and pattern recognition - Experience building AI-assisted workflows for insight generation and content performance analysis - Ability to critically evaluate AI outputs and apply sound human judgement before sharing conclusions - Agentic mindset: a systematic approach to breaking complex data challenges into clear, manageable steps We need to preserve all detail. Could flatten into list items, maybe sub-items? But we can just make each bullet a list item; for the Gen AI & Agentic Thinking section, we could make a list item that contains sub-bullets? But we only allowed

• for any list. Could nest ul inside li? Probably okay but might be considered extra. Safer to make each point as separate li, preserving the content. For the Gen AI & Agentic Thinking, we could make four separate li items each starting with the description. Thus list items: - Proficiency with social listening and analytics platforms such as Talkwalker, Brandwatch, Sprout Social, or Sprinklr - Ability to build effective listening queries that surface relevant, high-quality data from social platforms - Solid understanding of organic and paid social metrics — what they measure, how they interact, and what they mean for creative performance - Experience crafting data-driven narratives that connect performance signals to clear creative and strategic conclusions - Confident working in Microsoft Excel, including building structured data models and weighted metric formulas; familiarity with Microsoft AI tools is a plus - Clear, structured communicator — able to translate complex data into accessible insights for non-technical audiences - Comfortable creating and leading client-facing presentations - Proficiency with Gen AI tools relevant to data analysis and insights workflows, with genuine curiosity about how AI can enhance data processing and pattern recognition - Experience building AI-assisted workflows for insight generation and content performance analysis - Ability to critically evaluate AI outputs and apply sound human judgement before sharing conclusions - Agentic mindset: a systematic approach to breaking complex data challenges into clear, manageable steps We need to ensure we didn't lose any detail like "Gen AI & Agentic Thinking" heading; but we captured the subpoints. That's fine. Now About the role paragraph: The posting says: "About the role: As an individual contributor, the Social Data & Insights Manager owns the social data and listening function within the studio. You'll work across platforms and tools to extract, structure, and synthesise performance data into clear, actionable recommendations — giving creative, strategy, and account teams a reliable, evidence-based view of what's working and why. This role sits at the intersection of data, strategy, and creative. It requires someone equally at home building listening query logic, developing weighted metric frameworks in Excel, and presenting a performance narrative to senior stakeholders." We need to preserve that as prose in a

  . Could combine into one paragraph or two. We'll keep as one

  containing both sentences. Now Pay: we have Salary Range: $102,000 USD - $114,000 USD. Also note: "At the time of this posting, the base salary for this position may range according to what's stated below. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package." Should we include that? It's substantive detail about salary. The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. So we should include that explanatory text as well. However we must not create a Pay section with filler like "commensurate with experience". This is not filler; it's actual detail. So we can include that paragraph in Pay section. Thus Pay section:

  Pay

  At the time of this posting, the base salary for this position may range according to what's stated below. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. Salary Range: $102,000 USD - $114,000 USD

  Now we must remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning, duplicated lines, application instructions. The posting includes values, recruitment process, equal opportunity employer, environmental goals. Those are boilerplate; we must remove them. Thus final HTML fragment includes only the sections we decided. Check for any duplicated lines: none. Now output only HTML fragment, no markdown fences. Let's craft:

  About the role

  As an individual contributor, the Social Data & Insights Manager owns the social data and listening function within the studio. You'll work across platforms and tools to extract, structure, and synthesise performance data into clear, actionable recommendations — giving creative, strategy, and account teams a reliable, evidence-based view of what's working and why. This role sits at the intersection of data, strategy, and creative. It requires someone equally at home building listening query logic, developing weighted metric frameworks in Excel, and presenting a performance narrative to senior stakeholders.

  Responsibilities

  • Build and maintain social listening queries across platforms such as Talkwalker, Brandwatch, Sprout Social, and Sprinklr to track brand health, audience sentiment, and content trends
  • Analyse organic and paid social metrics to assess content and campaign performance across major platforms (Meta, TikTok, LinkedIn, X, YouTube)
  • Craft clear, insight-led narratives from performance data that directly inform creative decisions and strategic recommendations
  • Develop and maintain weighted social metric frameworks using Microsoft Excel and Microsoft AI tools to surface meaningful, comparable performance signals
  • Synthesise data from multiple platforms into structured, accessible reports for internal teams and client stakeholders
  • Partner with creative, strategy, and account teams to integrate insights into campaign planning and content development
  • Monitor the competitive and cultural landscape using social listening to identify emerging audience behaviours and platform trends
  • Contribute to the ongoing evolution of the studio's data tools, reporting infrastructure, and measurement standards

  Requirements

  • Proficiency with social listening and analytics platforms such as Talkwalker, Brandwatch, Sprout Social, or Sprinklr
  • Ability to build effective listening queries that surface relevant, high-quality data from social platforms
  • Solid understanding of organic and paid social metrics — what they measure, how they interact, and what they mean for creative performance
  • Experience crafting data-driven narratives that connect performance signals to clear creative and strategic conclusions
  • Confident working in Microsoft Excel, including building structured data models and weighted metric formulas; familiarity with Microsoft AI tools is a plus
  • Clear, structured communicator — able to translate complex data into accessible insights for non-technical audiences
  • Comfortable creating and leading client-facing presentations
  • Proficiency with Gen AI tools relevant to data analysis and insights workflows, with genuine curiosity about how AI can enhance data processing and pattern recognition
  • Experience building AI-assisted workflows for insight generation and content performance analysis
  • Ability to critically evaluate AI outputs and apply sound human judgement before sharing conclusions
  • Agentic mindset: a systematic approach to breaking complex data challenges into clear, manageable steps

  Pay