Data and Analytics Solutions Manager

Data & Analytics Solutions Manager 📍 London | Hybrid Working (3 Days Office / 2 WFH) 💰 £90,000+ Package 🌍 Global FMCG Organisation We’re partnering with a globally recognised FMCG enterprise investing heavily across Data, Analytics and Digital Transformation initiatives throughout Western Europe. This opportunity is ideal for an experienced Data / Analytics Manager with strong Azure Data Platform expertise, commercial awareness and enterprise delivery capability who enjoys operating across Business, Data and Technology functions within complex international environments. The Data & Analytics Solutions Manager will play a key role in designing, delivering and evolving enterprise-scale analytics and data solutions that support strategic insight generation, commercial planning, reporting and data-led decision making across multiple regional markets. The role requires strong experience across Microsoft Azure technologies including Azure Databricks, Azure Data Factory, Azure Data Lake, Power Platform and modern cloud-based analytics environments, alongside strong SQL, Python and PySpark capability. Experience across enterprise data architecture, data pipelines, reporting solutions, KPI management, data modelling, analytics delivery and data governance is highly desirable. The Data / Analytics Manager will work closely with regional business stakeholders, IT teams and Global Data functions to identify opportunities for improved analytics capability, scalable reporting solutions and enterprise data transformation initiatives. The role will also support regional rollout programmes, operational excellence, platform optimisation and continuous improvement across the wider analytics estate. Strong stakeholder engagement and business partnering capability is essential, alongside experience managing enterprise data projects, third-party vendors, cross-functional teams and large-scale transformation initiatives within fast-paced commercial environments. Experience working within FMCG, Retail, Consumer Goods or similarly data-driven enterprise organisations would be highly advantageous. Key technical exposure includes: Azure • Databricks • Azure Data Factory • Data Lake • SQL • Python • PySpark • Power BI • Power Platform • CI/CD • DevOps • Enterprise Analytics • Data Governance • Reporting • Data Visualisation • Data Architecture • Data Pipelines • KPI Reporting • Insight Generation • Cloud Data Platforms Excellent opportunity to join a global organisation delivering major investment across Data, Analytics and Digital Transformation within a modern Azure ecosystem