<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> We are partnering with a leading retail group that is at the forefront of digital transformation across its diverse portfolio of businesses. They are seeking a data-driven professional to optimize their payment processes and drive strategic insights.<br/><br/>The Role<br/><br/><ul><li> Analyze vast transaction data from both in-store and e-commerce channels to continuously optimize payment processes.</li><li> Develop intelligent analytical logic for discrepancy resolution and clearing at the transaction level.</li><li> Design and implement real-time monitoring to ensure smooth payment processing at the point of sale.</li><li> Conceive statistical use cases using Python or R to proactively identify anomalies and prevent fraud.</li><li> Create and automate comprehensive reports and dashboards for performance management and financial oversight.</li><li> Translate complex business questions into precise technical analysis requirements and provide data-driven recommendations.<br/><br/></li></ul>What You'll Need<br/><br/><ul><li> A degree in Business Informatics, Statistics, Mathematics, Data Science, or Business Administration with a strong quantitative focus.</li><li> 2-3 years of professional experience in data analytics, ideally within a retail or e-commerce environment.</li><li> Advanced SQL skills and excellent programming proficiency in Python or R for statistical analysis.</li><li> Strong understanding of Data Science concepts, including common machine learning methods like regression, clustering, and decision trees.</li><li> Practical experience with modern data platforms and visualization tools (e.g., Databricks, Snowflake, MicroStrategy).</li><li> Analytical thinking, a high degree of personal responsibility, and structured problem-solving skills.<br/><br/></li></ul>What's On Offer<br/><br/><ul><li> Opportunity to take on significant responsibility and contribute to efficient and sustainable solutions.</li><li> Work within a leading retail group with a strong focus on digital innovation.</li><li> Exposure to large-scale data and advanced analytical challenges.</li><li> Collaborative environment with opportunities for strategic influence.<br/><br/></li></ul>Apply via Haystack today!<br/><br/> </div>