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    SwiftSchema

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      Stack

      Occupational Guide Stack

      Occupation guide pages with role details, FAQs, and breadcrumb navigation.

      Open generatorValidate in Rich Results Test

      When to use this stack

      • Career path guide pages for specific roles
      • Occupation overview pages describing duties and skills
      • Pages where FAQs clarify education and salary expectations

      What's included

      • Occupation
        Open generator

        Defines the role, responsibilities, and skill expectations.

      • Frequently Asked Questions
        Open generator

        Answers career path, training, and compensation questions.

      • Breadcrumb
        Open generator

        Provides navigation context for the occupation guide.

      Required properties (stack union)

      Ensure every applicable required property is present in your implementation. Nested props reference their parent objects (for example, `offers.priceCurrency`).

      description
      itemListElement[].name
      mainEntity[].@type=Question
      mainEntity[].acceptedAnswer.text
      name
      occupationLocation.name
      skills

      Recommended properties (stack union)

      educationRequirements
      estimatedSalary.median
      experienceRequirements
      itemListElement[].item
      mainEntity[].acceptedAnswer.text
      mainEntity[].author.name
      mainEntity[].name
      responsibilities

      Combined JSON-LD

      Paste as a single script tag. Keep product details, offer data, shipping/returns, and FAQ answers in sync with the page.

      Validate
      [
        {
          "@context": "https://schema.org",
          "@type": "Occupation",
          "@id": "https://www.example.com/careers/data-analyst#occupation",
          "name": "Data Analyst",
          "description": "Analyze and interpret data to support business decisions and performance tracking.",
          "occupationLocation": {
            "@type": "AdministrativeArea",
            "name": "United States"
          },
          "skills": [
            "SQL",
            "Data visualization",
            "Statistics"
          ],
          "responsibilities": "Build dashboards, analyze trends, and deliver insights to stakeholders.",
          "educationRequirements": "Bachelor's degree in analytics, business, or a related field.",
          "experienceRequirements": "1-3 years of analytics or reporting experience.",
          "estimatedSalary": {
            "@type": "MonetaryAmountDistribution",
            "currency": "USD",
            "duration": "P1Y",
            "median": 75000,
            "percentile10": 55000,
            "percentile90": 105000
          }
        },
        {
          "@context": "https://schema.org",
          "@type": "FAQPage",
          "mainEntity": [
            {
              "@type": "Question",
              "name": "What tools do data analysts use?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "Common tools include SQL, Excel, Python, Tableau, and Power BI."
              }
            },
            {
              "@type": "Question",
              "name": "Is a degree required?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "Many roles prefer a bachelor's degree, but strong portfolios and certifications can qualify candidates."
              }
            },
            {
              "@type": "Question",
              "name": "What is the typical salary range?",
              "acceptedAnswer": {
                "@type": "Answer",
                "text": "Entry-level roles often range from $55k-$75k, with higher ranges for specialized analysts."
              }
            }
          ]
        },
        {
          "@context": "https://schema.org",
          "@type": "BreadcrumbList",
          "itemListElement": [
            { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.example.com" },
            { "@type": "ListItem", "position": 2, "name": "Careers", "item": "https://www.example.com/careers" },
            { "@type": "ListItem", "position": 3, "name": "Data Analyst", "item": "https://www.example.com/careers/data-analyst" }
          ]
        }
      ]

      Implementation steps

      1. Start from your live product detail page content; ensure titles, prices, and availability match the page.
      2. Embed one JSON-LD script in the head or just before the closing body tag using the combined example as a template.
      3. Fill shipping details for each region you serve and keep them aligned with on-page shipping tables.
      4. Attach your canonical MerchantReturnPolicy URL and keep the policy text in sync with Merchant Center.
      5. Add 3–6 FAQs that address purchase blockers (shipping, returns, compatibility) and keep answers consistent with visible content.
      6. Validate in the Rich Results Test and revalidate after price/availability/policy changes.

      Common errors and fixes

      FAQs

      Should I include salary data?

      Include estimatedSalary if your guide mentions ranges. Keep values aligned with on-page content.

      How do I handle different regions?

      Use occupationLocation for the region the guide targets. Create separate pages for other regions.

      References