Job Title: Analyst
We believe anyone can improve their home to make life better.
Key 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.
* Work 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.
Requirements:
* Complex SQL queries and experience working with languages such as Python or R.
* Experience working within a matrix environment using Agile methodologies, collaborating with different teams and stakeholders.
* Experience working with cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery.
* Experience in marketing campaign design and analysis, working with customer data to find key insights.
* Use statistical methods such as hypothesis testing, confidence intervals, and p-values.
* Strong attention to detail and willingness to ensure the accuracy of your work.
* Understand the importance of Data Governance and good Data Quality.
* Know the basics of customer behavioural analysis and omnichannel personalisation.
* Used Jira/Confluence for managing workloads and documentation.
* Curious about how things work and finding solutions to business problems.
* Understand and maximise the value of analysis and data science with a commercial lens.
* Good storyteller who can convey value through visuals.
* Awareness and understanding of technology and trends in Data Science and Analytics.