<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Analyst - Penguin Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/data-analyst-penguin-recruitment--9735f051-2b29-4aa8-9533-dff32b76bf66</link>
    <description>RSS feed for Data Analyst at Penguin Recruitment.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 09 Sep 2026 20:22:43 GMT</lastBuildDate>
    <item>
      <title>Data Analyst - Penguin Recruitment</title>
      <link>https://jobs.co.uk/job/data-analyst-penguin-recruitment--9735f051-2b29-4aa8-9533-dff32b76bf66</link>
      <guid>https://jobs.co.uk/job/data-analyst-penguin-recruitment--9735f051-2b29-4aa8-9533-dff32b76bf66</guid>
      <pubDate>Tue, 08 Sep 2026 23:00:00 GMT</pubDate>
      <description>Location: Bristol | Salary: &amp;pound;28000 - &amp;pound;32000/annum | Type: Permanent | Data Analyst    Location: Bristol    Salary: -(phone number removed) DOE    About the Role   An established environmental and engineering consultancy is looking to appoint a  Data Analyst  to support the development of their technical digital initiatives and integration of technology across the business.  Based in  Bristol , this is a primarily desk-based role working with environmental, geotechnical and remediation data, providing accurate analysis and data-driven insights to project teams.   Key Responsibilities    Manage environmental, geotechnical and remediation datasets from multiple sources.  Validate, clean and quality-check project data.  Maintain structured databases and digital project records.  Identify data anomalies and support data integrity.  Assist with data governance and quality assurance procedures.  Analyse soil, groundwater, waste and environmental monitoring data.  Produce project reports, summaries and data visualisations.  Support interpretation of environmental testing and compliance data.  Provide data-driven insights to project teams.    Requirements    Experience working with data analysis, data management or environmental datasets.  Strong attention to...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>