Analytics Engineer

Reporting & Analytics Engineer 📍 Warwick (Hybrid - 3 days onsite per week) 💰 £460 per day (Inside IR35) 📅 6-Month Contract 🚀 ASAP Start We are seeking an experienced Reporting & Analytics Engineer to join a high-profile programme delivering modern data and analytics solutions. This is an excellent opportunity for a talented data professional with strong expertise in Power BI, Snowflake, SQL, Azure Data Factory and DataOps.live to play a key role in transforming enterprise reporting and analytics capabilities. The Role As a Reporting & Analytics Engineer, you will be responsible for designing, developing and delivering scalable reporting and analytics solutions that provide meaningful business insights. Working within a modern cloud data environment, you will help drive the adoption of Data Products and best practices across the organisation. Key Responsibilities Data Products & Modern Data Architecture • Define, develop and operationalise Data Products, ensuring clear ownership, discoverability and reusability. • Champion modern data management principles and data product thinking across the business. • Support the evolution of enterprise data capabilities through scalable and governed solutions. Business Intelligence & Visualisation • Lead the design and development of enterprise reporting solutions using Power BI, Snowflake, Azure Data Factory and DataOps.live. • Develop scalable semantic models, datasets and dashboards aligned to business KPIs. • Optimise report performance and implement best practices in visualisation, usability and user experience. • Work closely with stakeholders to translate business requirements into impactful analytics solutions. Data Engineering & Integration • Develop and maintain ETL/ELT processes and data integration frameworks. • Collaborate with engineering teams to design and implement data ingestion pipelines. • Utilise SQL and Python to support data transformation, automation and analytics requirements. • Ensure the accuracy, accessibility and integrity of enterprise data assets. Cloud Data Platforms • Work hands-on with Snowflake as the core enterprise data platform. • Contribute to the design and optimisation of cloud-based data solutions. • Support high availability, scalability and performance across data systems and reporting platforms. • Assist with the implementation of modern data engineering and DataOps practices. Essential Skills & Experience • Strong commercial experience with Microsoft Power BI. • Extensive SQL expertise. • Experience with Snowflake in a production environment. • Hands-on experience with Azure Data Factory (ADF). • Experience using DataOps.live. • Strong understanding of Data Products and modern data architecture concepts. • Experience building ETL/ELT pipelines and data integration frameworks. • Proficiency in Python or another programming language. • Experience delivering scalable analytics and reporting solutions within enterprise environments. Desirable Skills & Experience • Knowledge of real-time and streaming data architectures. • Certifications in Power BI, Microsoft Azure and/or Snowflake. • Strong analytical and problem-solving capabilities. • Excellent stakeholder management and communication skills. • Ability to effectively bridge business and technical teams. • Experience working within large-scale transformation or data modernisation programmes. Interested? Apply today with your latest CV for immediate consideration.