Analytics Engineer

Warwick (Hybrid - 3 days onsite per week)

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 Data Ops.live to play a key role in transforming enterprise reporting and analytics capabilities.

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.

• Define, develop and ope rationalise 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.

• Lead the design and development of enterprise reporting solutions using Power BI, Snowflake, Azure Data Factory and Data Ops.live
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• 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.
• 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.
• 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 Data Ops practices.
• Strong commercial experience with Microsoft Power BI
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• Extensive SQL expertise.
• Experience with Snowflake in a production environment.
• Hands-on experience with Azure Data Factory (ADF).
• Experience using Data Ops.live
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• 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.
• Knowledge of real-time and streaming data architectures.
• Certifications in Power BI, Microsoft Azure and/or Snowflake
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• 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.