Analyst - Information Security Operations.Technology

tags with style attributes, but we need to output clean HTML using

,

,

• . We must preserve all original content word-for-word, no summarization. However we need to identify sections: Main Purpose, MTN Uganda Limited is an equal opportunity employer..., Job Title, Reports to, No. of Vacancies, Main Job Functions (list items). Also maybe other sections later (not fully shown). The given snippet ends abruptly. We need to include everything present. We need to map sections to

  headers. The sections in the text: "Main Purpose:" (maybe a header). Then description paragraphs. Then "MTN Uganda Limited is an equal opportunity employer..." maybe not a header but we can treat as part of description. Then "Job Title:" and "Reports to:" and "No. of Vacancies:" are likely separate lines, could be

  but maybe we need to make them as

  ? The rule: Use

  for section headers (e.g. Responsibilities, Qualifications, Requirements, Education, Experience, Skills, How to Apply, Key Duties, About the Role). The given text includes "Main Purpose:", "Main Job Functions:" which could be considered section headers. Also "Job Title:", "Reports to:", "No. of Vacancies:" maybe not section headers but we can treat them as

  with bold? But we need to preserve content exactly. The rule: Use

  for section headers. So we need to decide which lines are headers. The text includes tags around "Main Purpose:", "MTN Uganda Limited is an equal opportunity employer...", "Job Title:", "Reports to:", "No. of Vacancies:", "Main Job Functions:". Probably "Main Purpose:" is a header. "Main Job Functions:" is a header. The others maybe not headers but could be considered part of description. However to follow rule, we should use

  for any section header. The examples given are responsibilities, qualifications, etc. So "Main Purpose:" could be considered a header. "Main Job Functions:" definitely a header. "Job Title:" maybe not a header but could be considered part of job details; but maybe we treat as

  . The rule says "Use

  for section headers (e.g. Responsibilities, Qualifications, Requirements, Education, Experience, Skills, How to Apply, Key Duties, About the Role)". Those are typical sections. "Main Purpose:" is similar to "About the Role". So we can use

  for "Main Purpose:" and "Main Job Functions:". What about "Job Title:"? That's more like a label, not a section header. Could be part of a

  . But we need to preserve content exactly; we can keep it as

  with the text "Job Title: Analyst – Security Operations". However the original has "Job Title:  Analyst – Security Operations". We need to preserve word-for-word, including spaces and non-breaking spaces? Probably we can keep as is but without HTML tags that are not allowed. We need to output clean HTML, not preserve the tags. So we need to extract the textual content. We need to produce

  for "Main Purpose:" and "Main Job Functions:". Then

  for the description text under Main Purpose. Then maybe

  for the equal opportunity statement. Then

  for Job Title, Reports to, No. of Vacancies (maybe as separate

  lines). Then

  for "Main Job Functions:" and then

  • for each list item. The list items are currently inside
    with
    • containing

      tags. We need to extract the text inside each

    • (the

      content). The list items have a lot of extra spaces and non-breaking spaces; we need to preserve content word-for-word, but we can strip the extra spaces? The rule: preserve ALL original content word-for-word — do not add, remove, summarise, or rephrase. So we must keep the exact text as appears, including spaces? That's tricky. The raw text includes many   which represent spaces. In the final HTML, we should output the text as plain words, not the   entities. But we need to preserve content word-for-word, meaning we shouldn't change the wording, but we can remove HTML tags. The   are just spaces; we can output normal spaces. The content inside each

    • includes many spaces; we can keep them as normal spaces (they are equivalent). So we need to extract the text inside each
    • (the

      content) and output as

    • with that text. Let's parse the list items: 1. First
    • text: "Ensure that Network Systems are in compliance with organisational policies, industry policies and system security standards