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Are you excited about using advanced analytics to unlock real value from retail customer data?&nbsp;You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.&nbsp;Your day to day will include:<ul><li>Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers</li><li>Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable</li><li>Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact</li><li>Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution</li><li>Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources</li><li>Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs</li><li>Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans</li><li>Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes</li><li>Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights</li><li>Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)</li></ul>&nbsp;What you need to succeed:&nbsp;<ul><li>BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus</li><li>Experience in data mining and big data analysis within complex environments</li><li>Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)</li><li>Solid understanding of statistical models and advanced analytical techniques</li><li>Proficiency in data visualization tools (Power BI, Tableau)</li><li>Strong analytical thinking, business acumen, and problem‑solving mindset</li><li>Proficient MS Office knowledge</li><li>Excellent command of English (written &amp; spoken)</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>Competitive salary package and bonus scheme&nbsp;💸</li></ul><ul><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li></ul><ul><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities&nbsp;💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

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data analyst (3865)

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