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    Customer & Loyalty Data Analyst - Consumer Retail & SQL - London, United Kingdom - Datatech Analytics

    Datatech Analytics
    Datatech Analytics London, United Kingdom

    3 days ago

    Default job background
    Description
    Customer & Loyalty Data Analyst - Consumer Retail & SQL - Location - Virtually remote working with c1 day a month self-funded into the London offices - Salary negotiable DoE £40,000 - £50,000 J12745

    Role Purpose:

    Working within the Analytics and Data Science team, under the leadership of the Analytics Manager, the Customer Data Analyst will work to produce high quality analysis and insights.

    You will interact with a varied group of stakeholders to drive up the understanding of customers across the organisation, helping to shape future strategies, improve customer experience, deepen engagement, drive revenue, and improve business efficiencies.

    If you would like to work in a collaborative, fast paced, encouraging and future thinking environment, where you're empowered to be creative and drive this could be your next role.


    Key Accountabilities / Responsibilities:

    • Develop analyses related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements.
    • Help deliver the information provision for The health of the customer, including looking at contributions to growth, cohort analysis, churn rates.
    • Deliver PIRs related to the Company's Loyalty schemes and CRM activities: identifying opportunities and making informed recommendations.
    • Create forecasting and measure campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix.
    • Support on deep-dives and incremental analysis into performance to generate actionable insights.
    • Be an active member of the wider data community across the group, engaging with the group data team and other banners across the group.
    • Bring external thinking to the Organisation by maintaining an awareness of analytics usage in retail and other sectors and by keeping abreast of competitor technology and developments.
    • Support the growth of new channels, Services, Digital, MarketPlace and Retail Media with key analysis and information.
    • Alongside the Analytics Manager, help build relationships with key stakeholders from across the business and translate ambitions and goals into analytical challenges

    Desirable Skills & Experience:

    • Good knowledge of SQL and working with large and complex data sets.
    . Proven experience of working with customer data to find key insights to inform and drive change within the business.
    . Experience of marketing campaign design and analysis could prove useful


    • Strong attention to detail and willing to take the time to ensure the accuracy of your work.
    • You are empathetic to the importance of Data Governance and good Data Quality.
    • You know the basics of and want to explore new realms of customer behavioural analysis and omnichannel personalisation.

    You're curious:
    about how things work and getting to the bottom of business problems and data nuances.


    • You understand and maximise the value of analysis and data science, and act with a commercial lens, prioritising the actions and usefulness of outputs.
    • A good storyteller who can bring that value to others - you know numbers don't always speak for themselves and have excellent visuals to support

    Additional Requirements:
    Candidates must have an existing right to live and work in the UK.

    If this sounds like the role for you then please apply today Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes If you have a friend or colleague who would be interested in this role, please refer them to us.

    For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.

    Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data.


    For more information, visit our website:
    #J-18808-Ljbffr
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