Description The Role As a Data Analytics Engineer, you will be at the heart of this evolution, bridging the gap between raw data and the actionable insights that drive our commercial success. Working closely with our Finance team at Head Office, you will design and build scalable solutions that transform how we see our business. This isn't just about managing numbers; it’s about making an impact by automating legacy processes and ensuring data integrity across our operations. What You’ll Take On Collaborate with colleagues to translate business needs into tangible analytical solutions. Build and maintain robust data models and pipelines using SQL, Python, and Databricks. Create inspiring dashboards in PowerBI to showcase the KPIs and trends that shape our future. Learn to evolve by staying ahead of technical advancements, including generative AI and machine learning. Empower others by acting as a subject matter expert, providing training that enables the wider Finance team to conduct high-quality self-service analysis. What You’ll Bring We’re looking for someone who is quietly confident in their technical ability and ready to take responsibility for delivering the right results. You should have a talent for explaining complex concepts to non-technical audiences, focusing on the findings that truly matter. Your experience should include: Proven expertise in developing interactive reports, particularly with PowerBI. Proficiency in SQL and Python for comprehensive data manipulation. A solid understanding of data warehousing and modelling techniques. The ability to work at pace, managing various tasks in our dynamic, fast-paced environment. A collaborative mindset, ready to partner with technology domains to ensure a single version of the truth across NEXT LI-DC1 LI-Hybrid