Overview:
Permanent
Up to £ 50,000+ Pension + BUPA + ShareSave + 6.6 weeks holiday + Hybrid Working
Southampton, Store Support Office
We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they’ll love. Join us as a Customer Data Analystand you’ll be a big part of this.
Working within the Analytics and Data Science team, you’ll turn data into powerful insights that make a real impact. You’ll collaborate with a wide range of stakeholders to deepen our understanding of customers, helping to shape future strategy, enhance the customer experience, drive engagement and revenue, and improve business efficiency across B&Q and TradePoint.
What's the job?:
- Help deliver the information provision for “The health of the customer”, including looking at contributions to growth, cohort analysis, churn rates.
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Working within a matrix structure with other analysts, delivering a wide range of analytical products and projects, focusing on customer behaviour.
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Deliver PIRs related to the B&Q Loyalty schemes (Club & TradePoint) and CRM activities: identifying opportunities and making informed recommendations.
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Create forecasting and measure campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix.
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Support on deep-dives and incremental analysis into performance to generate actionable insights.
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Be an active member of the wider data community across the group, engaging with the group data team and other banners across the group.
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Bring external thinking to B&Q by maintaining an awareness of analytics usage in retail and other sectors and by keeping abreast of competitor technology and developments.
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Support the growth of new channels, Services, Digital, MarketPlace and Retail Media with key analysis and information.
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Alongside the Analytics Manager, help build relationships with key stakeholders from across the business and translate their ambitions and goals into analytical challenges.
What we need::
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Strong SQL skills, with experience in Python and/or R
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Experience working in Agile, matrix environments, collaborating across teams and adapting to change
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Hands-on experience with cloud data platforms (e.g. Databricks, Snowflake, BigQuery) to analyse large, complex datasets
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Proven experience in marketing campaign design and analysis, using customer data to optimise journeys, retention, and loyalty
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Solid grounding in statistical analysis (e.g. hypothesis testing, confidence intervals, p-values)
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High attention to detail, with a focus on data accuracy, validation, and quality
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Strong understanding of data governance and data quality best practices
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Interest in customer behavioural analysis and omnichannel personalisation
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Experience using Jira and Confluence for workload management and documentation
What's in it for me?:
As well as a competitive salary, our benefits package includes:
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Award-winning pension scheme
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Bonus
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ShareSave options
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6.6 weeks holiday
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Payroll giving
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Employee Assistance Programme
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Shopping discounts
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Colleague wellbeing benefits
…and much more.
We want to ensure that all employees, future employees, and applicants to all Kingfisher companies are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression, or sexual orientation.
Find out more about us, including the benefits we offer and our community, sustainability, and inclusion projects at bandqcareers.com.
If you require any additional support or adjustments to help you make an application, please contact us at:
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