2 of 2 Remote Data Mining Jobs in the West Midlands

Data Engineer - SQL Developer Mostly Remote role - Must be able to travel to rugby office 1-2 times per month An established organisation is seeking a talented SQL Data Engineer to join a collaborative and forward-thinking data team. This role is ideal for someone who thrives on solving complex data challenges, enjoys working with diverse … data sources, and takes pride in building scalable, secure and high-performing data solutions. Key Responsibilities Design, develop and maintain SQL databases and data pipelines, ensuring reliability, integrity and optimisation. Create and enhance complex T-SQL queries to support reporting, analytics and system integrations. Develop and maintain data models, mapping processes and documentation to support enterprise … data architecture. Collaborate with analysts, data architects and technical teams to understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations More ❯

Senior Expert Fraud Data Analyst Location: Solihull Salary: £45k - £55K Contract Type: Permanent Working Pattern: Full-time/Hybrid (3 office days, 2 work-from-home, Monday - Friday) Note : Candidates MUST come from a Financial Services background. Are you a data-driven fraud specialist who thrives on spotting patterns, preventing risks, and staying one step ahead of criminals … We're looking for a Senior Fraud Data Analyst to take a lead role in shaping fraud strategy, implementing cutting-edge prevention techniques, and using your analytical skills to protect millions. This is more than just a reporting role - it's about designing and delivering tactical and strategic initiatives that reduce fraud losses, influence policy, and have a real … What You'll Do Own and evolve the fraud detection and prevention strategy for your assigned product line. Use tools like SAS, SQL, or Python to mine and model data, detect trends, and develop fraud rules. Design and implement tactical initiatives to combat emerging fraud types. Translate fraud insights into operational policies and support cross-functional teams in delivery. More ❯