Data Analyst

1 month ago

Yeovil, Somerset, United Kingdom Screwfix Full time
Overview

Screwfix's Data and Analytics function is the backbone of our business, providing a 360-degree view of our customers across all aspects of the organisation. By combining quantitative and qualitative disciplines, we leverage a market-leading customer database to gain rich insights that inform our short-term trading and long-term planning strategies. This role offers a unique opportunity to work in a dynamic environment where each day can be different, from analysing customer behaviour to exploring macro trends and customer expectations as part of our 3-year planning process.

Responsibilities
  • Conduct in-depth analysis of customer behaviour, purchasing patterns, and sales data to identify trends, opportunities, and actionable insights that inform commercial decision-making and drive business performance.
  • Analyse and track the performance of marketing campaigns to provide insights for improvement.
  • Translate complex data into an understandable and actionable format through engaging reports and dashboards that communicate key findings and recommendations to stakeholders.
  • Utilise SQL to extract, analyse, and interpret customer data from various sources to identify key trends, behaviours, and insights.
  • Create visually compelling reports and PowerBI dashboards that communicate customer insights to stakeholders, enabling them to make data-driven decisions.
  • Undertake statistical analysis, including the use of control groups and hypothesis testing.
  • Manage a portfolio of analytics work, prioritising as required to deliver effectively.
  • Collaborate with cross-functional teams to align customer insights with business objectives and drive customer-centric strategies and decisions.
  • Develop strong relationships with key stakeholders, including our CRM, Commercial, and Marketing teams.
  • Stay updated with the latest analytical tools and methodologies to enhance the quality of insights.
Requirements
  • Experience in customer data/analytics, preferably within the retail industry.
  • Strong expertise in data analysis and use of Excel.
  • Experience in data visualisation and storytelling – able to communicate in a straightforward and visually engaging manner, creating a compelling narrative.
  • Experience of analytical tools such as SQL, Python, R.
  • Experience of data visualisation platforms (e.g. Tableau or Power BI).
  • Excellent communication and presentation skills, particularly in writing.
  • Excellent attention to detail, focused on accuracy and integrity of work.
What's in it for me?

We offer a range of benefits that support your wellbeing, including a subsidised canteen, free parking, and enhanced family leave policies. We're committed to building a better future for our community and our planet, and we're doing everything we can in six key areas: eliminating carbon emissions, reducing and recycling waste, sourcing responsibly, keeping products in use for longer, selling more sustainable products, and providing sustainable packaging.

We believe in equity for all and have created a culture of inclusivity and genuine community. We're a company built on teamwork, and the best teams are ones in which everyone can share their view. Whatever your background, however you identify, you'll be listened to, encouraged, and given the tools and training you need to get ahead.

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