4 of 4 Remote/Hybrid Data Analysis Jobs in the City of London

Reporting Analyst City of London Hybrid 12 month FTC - £80,000 Reporting Analyst, Data Analyst, BI Analyst A highly successful, financial services business based in the City are looking for a technically capable Reporting Analyst to join them on a 12 month FTC. This is a technical role … maintain financial and operational reports using Oracle Analytics Cloud (OAC), Oracle BI, and Smart View, based on user requirements. Deliver ad-hoc reporting and analysis to support the Finance Team's decision-making needs. Maintain and update reporting tables, views, and replications within the Autonomous Data Warehouse ...

maintain financial and operational reports using Oracle Analytics Cloud (OAC), Oracle BI, and Smart View, based on user requirements. Deliver ad-hoc reporting and analysis to support the Finance Team's decision-making needs. Maintain and update reporting tables, views, and replications within the Autonomous Data Warehouse … ensure data accuracy and availability. Perform detailed data analysis to identify trends, validate data integrity, and support business insights. Lead and participate in ad-hoc data cleansing and data-fixing initiatives, such as supplier merges, multicurrency balance corrections, and prepayment adjustments. Support the development ...

from you! Key Responsibilities: As a C# .NET Developer, you will: Understand business requirements and design applications that meet those needs. Engage in business data analysis to inform application design and development. programme in Visual C#.NET while utilising both Oracle and SQL Server databases. Conduct unit testing … both London and New York. Provide scripts for database inquiry languages (T-SQL for SQL Server and PL/SQL for Oracle) to enable data analysis based on business requirements. Support the setup of system distribution methods for Citrix and application servers for both web and Windows applications. ...

thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build … manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives ...