<p><span><b>Data Analyst – Advanced SQL – Supply Chain Analytics – London/Hybrid</b></span></p> <p><b>Why join us</b></p> <p><span>We’re a business serving millions of customers a day, with the UK’s largest loyalty scheme and an ever-evolving set of digital platforms. All this equals over 1.2 billion transactions a year, presenting a volume, depth, and complexity of data that few can match.&nbsp;</span><br><br><span>We don’t think we’re exaggerating when we say we have the most exciting data set in the country. We’ve got data from billions of transactions for our teams to play with. From it, we build scalable, high-performance products using cutting-edge technology that give our customers an amazing experience. In an inclusive, agile environment, you’ll have the space to be curious, to experiment, and solve real-world challenges. And you’ll get to see the output of your work in the hands of millions of people across the UK.</span></p> <p>Joining as a Data Analyst - Supply Chain in the Argos Analytics division means being part of an exciting journey of transformation and innovation where you will have the opportunity to work with one of the most dynamic and diverse data sets in the country. In a collaborative and agile environment, you will play a vital role in driving impactful change and delivering actionable insights that shape the future of our commercial and supply chain operations, all while being supported by a team of talented colleagues who are passionate about leveraging technology and data to enhance the customer experience.&nbsp;</p> <p><b>What you'll do</b></p> <p>As a Data Analyst - Supply Chain within the Argos Analytics team, you will play a pivotal role in supporting the transformation of the Argos Business, focusing on supply chain strategic priorities and helping commercial and supply chain teams optimise stock holding in stores to achieve working capital targets. You will leverage your analytical skills and commercial insight to provide actionable insights, recommend opportunities for improvement, and deliver analytical value for the Supply Chain divisions. Working with a modern tech stack of SQL, Snowflake, R, Python, and MicroStrategy, you will collaborate with talented colleagues to drive impactful changes at the heart of the Argos.&nbsp;</p> <p><b>Who you are</b></p> <p>As a Data Analyst - Supply Chain for Sainsbury's Argos team, you must have <span>advanced SQL and be&nbsp;</span><span>able to write SQL queries from scratch to extract and aggregate data.</span> You are a data-driven professional with a proven track record of delivering actionable insights and driving demonstrable business change through the application of analytics.&nbsp;</p> <p>Your inquisitive mindset, combined with your ability to propose and interpret key performance indicators, enables you to identify opportunities and guide strategic actions within the supply chain division.&nbsp;&nbsp;</p> <p>With a passion for high-quality data storytelling and leveraging statistical and predictive techniques, you excel in providing valuable insights to support commercial and supply chain decision-making. Your collaborative approach, commercial acumen, and dedication to continuous learning make you a valuable asset in driving impactful analysis and delivering tangible recommendations to solve complex retail challenges.</p> <p><b>Essential Criteria</b></p> <ol> <li><span>Advanced SQL – must be&nbsp;</span><span>able to write SQL queries from scratch to extract and aggregate data</span></li> <li><span>A passion for high quality data storytelling. Being able to build and tell compelling stories based on this data.</span></li> <li><span>Be creative in leveraging new data sets and creating new sources of insight to help solve our toughest commercial & supply chain problems and make tangible recommendations&nbsp;</span></li> <li>Demonstrable experience delivering actionable insight and business change through analytics.&nbsp;</li> <li>Experience providing insight to supply chain or logistics functions</li> <li>Capability to communicate complex data findings to non-technical stakeholders</li> </ol> <p>This role will be closed early if we receive high volumes of applications. &nbsp;</p> <p>#LI-JH1</p>