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    Data Analyst - London, United Kingdom - M&S

    M&S
    M&S London, United Kingdom

    1 week ago

    M&S background
    Description

    Your responsibilities will encompass the end-to-end data analysis process, from data collection and pre-processing to advanced statistical modelling and visualisation.

    Your proficiency in data manipulation, programming languages, and analytical tools will enable you to identify patterns, correlations, and trends that contribute to innovative solutions.

    We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

    20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.

    ~ Competitive holiday entitlement with the potential to buy extra holiday days
    ~ Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
    ~ A generous Defined Contribution Pension Scheme and Life Assurance.
    ~ A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
    ~ Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
    ~ Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
    ~ Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
    ~ Provide analytical expertise to support the delivery of Data Products, collaborating closely with Product Managers and Data Scientists; guiding product decisions through discovery analytics, testing hypotheses, and designing experiments to measure value.

    Collaborate with business stakeholders and the wider data team to understand requirements and offer solutions grounded in commercial and analytical understanding.

    Apply statistical, analytical and visualisation techniques to identify trends, patterns, and correlations in data, providing actionable insights to stakeholders to guide business decisions.

    Support Lead Analysts and collaborate with other analysts to foster a thriving analytics environment, stay updated on new technologies, and champion an agile, experimental approach to analytical challenges.

    A few years of experience in data analysis or a related field, demonstrating a history of generating value through analytical initiatives.

    Exceptional problem-solving, analytical, and numerical skills, with the ability to manipulate and transform data sets using analytical methodologies.

    Proficiency in data visualisation tools such as Power BI, Tableau, or QlikView, and experience in visualising data and presenting analytics effectively.

    Strong knowledge and practical application of SQL, analytical coding languages such as Python or PySpark, and statistical analysis methods (e.g., Ability to translate complex technical data into easily understood insights for non-technical stakeholders.
    We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era.

    We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best.

    This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

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