Business Intelligence Lead jobs in South East

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Remove search filter business intelligence lead Remove search filter South East (up to 100 miles) Remove search filter £36 - £40 per hour Remove search filter Posted in the last 14 days Clear all Clear all filters

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  1. Solution Architect - Azure, D365, Power Platform - Remote

    Posted a week ago by Nigel Frank International

    Remote job
    Salary:
    £65,000 - £85,000/annum
    Location:
    Southampton, Hampshire
    Job Type:
    Permanent

    In this role, you will take lead on delivering exceptional technical solutions for organisations in the non-profit sector, with a focus on Microsoft Azure, Dynamics 365, and the Power Platform including Power BI. It's a wide-ranging role, where you'll be leading on pre-sales activities, … more

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  2. Data Science Manager

    Posted a week ago by Nigel Frank International

    Remote job
    Salary:
    £65,000 - £75,000/annum
    Location:
    Crawley, West Sussex
    Job Type:
    Permanent

    This is a hybrid role, requiring 3 days a week in their modern offices in the Sutton area, to collaborate with the team and the wider business, and 2 days working from home. In this role you will be managing a small team of Data Scientists, and will lead on the delivery of … more

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  3. Data Science Manager - Surrey, Hybrid

    Posted a week ago by Nigel Frank International

    Remote job
    Salary:
    £65,000 - £75,000/annum
    Location:
    Sevenoaks, Kent
    Job Type:
    Permanent

    This is a hybrid role, requiring 3 days a week in their modern offices in the Sutton area, to collaborate with the team and the wider business, and 2 days working from home. In this role you will be managing a small team of Data Scientists, and will lead on the delivery of … more

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  4. Data Scientist Manager - Surrey/Hybrid - £75,000

    Posted a week ago by Nigel Frank International

    Remote job
    Salary:
    £70,000 - £75,000/annum
    Location:
    Surrey
    Job Type:
    Permanent

    Lead innovative data-driven solutions on large or complex datasets, including gathering and manipulating disparate data, applying analytical techniques and visualising results. Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to … more

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