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    <title>Supplier Data Analyst - Pearson Whiffin Recruitment Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/supplier-data-analyst-pearson-whiffin-recruitment-ltd--5e3a7704-a318-4afb-819d-1e32db7cbe43</link>
    <description>RSS feed for Supplier Data Analyst at Pearson Whiffin Recruitment Ltd.</description>
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    <lastBuildDate>Thu, 27 Aug 2026 03:42:14 GMT</lastBuildDate>
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      <title>Supplier Data Analyst - Pearson Whiffin Recruitment Ltd</title>
      <link>https://jobs.co.uk/job/supplier-data-analyst-pearson-whiffin-recruitment-ltd--5e3a7704-a318-4afb-819d-1e32db7cbe43</link>
      <guid>https://jobs.co.uk/job/supplier-data-analyst-pearson-whiffin-recruitment-ltd--5e3a7704-a318-4afb-819d-1e32db7cbe43</guid>
      <pubDate>Mon, 24 Aug 2026 23:00:00 GMT</pubDate>
      <description>Location: Ashford | Salary: &amp;pound;13.84 - &amp;pound;15.38/hour | Type: Contract | Supplier Data Analyst   £27,000 – £30,000 per annum Ashford – Remote Temporary Contract (initially circa 6 months, with potential for extension)  We’re looking for a detail-driven, Excel-savvy problem solver to join a busy data project on a temporary contract. This is a fantastic opportunity to get involved in a large-scale supplier data clean-up.  You’ll play a key role in helping streamline and tidy up thousands of supplier records, making sure data is accurate, consistent, and ready for migration. This is a hands-on role where accuracy really matters and where your ability to spot patterns, duplicates, and inconsistencies will make a real impact.   Duties include:   · Work with large supplier datasets and transactional records, ensuring accurate handling and organisation of information  · Analyse and structure data using Excel, including the use of formulas, lookups, and pivot tables to produce clear summaries  · Investigate supplier records to identify duplicates and opportunities for consolidation   What we’re looking for:   · Strong Microsoft Excel skills (confident with formulas and pivot tables essential)  · Experience working with large datasets and data validation  · High...</description>
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