Analyst
B&Q
Permanent
From £45,000 + Pension + Bonus + BUPA + ShareSave + 6.6 weeks holiday + Hybrid Working
Southampton, Store Support Office
Role Purpose
Working within the Analytics and Data Science team, under the leadership of the Analytics Manager, the Analysts will work to produce high quality analysis and insights. They will interact with a varied group of stakeholders to build on the understanding of customers, helping to shape our future strategies, improve customer experience, deepen engagement, drive revenue, and improve business efficiencies across both B&Q and TradePoint.
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.
- Working within a matrix structure with other analysts, delivering a wide range of analytical products and projects, focusing on customer behaviour.
- Deliver PIRs related to the B&Q Loyalty schemes (Club & TradePoint) 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 B&Q 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 their ambitions and goals into analytical challenges.
Key Business Relationships
- Customer & Digital function
- Finance
- Kingfisher Group Data & Analytics incl. other banners
Required Skills & Experience:
- You can write complex SQL queries and have had experience working with other languages such as Python or R.
- You have experience working within a matrix environment using Agile methodologies. You can collaborate with different teams and stakeholders, adapt to changing requirements, and deliver your work in an iterative and incremental way.
- You’ve experience working with cloud based analytical platforms such as Databricks, Snowflake, Google BigQuery and the like. You can use these platforms to access, process, and analyse large and complex data sets in a scalable and efficient way.
- You have experience of marketing campaign design and analysis, working with customer data to find key insights to inform and drive change within the business. You can design, execute, and evaluate marketing campaigns, optimise customer journeys, and increase customer retention and loyalty.
- You can also use statistical methods such as hypothesis testing, confidence intervals, and p-values to draw valid conclusions and recommendations
- You have a strong attention detail and are willing to take the time to ensure the accuracy of your work. You can check, validate, and troubleshoot your data and code, and ensure they meet the quality standards and expectations.
- You are empathetic to the importance of Data Governance and good Data Quality. You can follow and implement the data policies, standards, and procedures, and ensure the integrity, security, and availability of your data.
- You know the basics of and want to explore new realms of customer behavioural analysis and omnichannel personalisation.
- You’ve used Jira/Confluence before for managing workloads and documentation. You can use these tools to organise, prioritise, and track your tasks and projects. You can also create and maintain clear and concise documentation.
- You’re curious: about how things work and getting to the bottom of business problems and data nuances. You ask relevant and insightful questions, conduct thorough and rigorous analysis, and find creative and innovative solutions.
- You understand and maximise the value of analysis and data science, and act with a commercial lens, prioritising the actions and usefulness of outputs. You can translate business objectives into analytical goals, prioritise the most impactful and feasible actions, and communicate the value and benefits of your outputs to the business.
- You’re 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.
- You’ve an awareness and understanding of technology and trends in Data Science and Analytics. You can keep up with the latest developments and innovations in the field and apply them to your work when appropriate.
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