Top Data Analyst Jobs in Glasgow

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

Analyze on-chain trading activity and market/DEX/CEX data at scale, build models for portfolio/PnL and capital efficiency, design AI-driven research pipelines, produce insights to inform product and capital strategy, and collaborate with product and engineering teams.

The Data Analyst role involves developing automated reporting workflows, analyzing media quality, and providing insights to clients. Responsibilities include SQL querying, Excel modeling, and collaboration with teams to ensure data accuracy and deliver insights.

The Data Analyst is responsible for maintaining the quality of the global benchmarking database, ensuring accuracy in financial metrics, managing client relationships, performing data audits, and analyzing large datasets for reports and research purposes.

The Client Data Analyst acts as a liaison for client program management, focusing on data analysis, reporting, and supporting travel program operations.

The Data Analyst will transform raw data into actionable insights, develop data models, ensure data quality, and create visualisations for strategic decisions.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Own the validation lifecycle: translate data quality requirements into clear deterministic rule specifications, maintain the validation catalogue, monitor and tune controls, perform first-pass anomaly detection and RCA support, and collaborate with Product, Technology, and Data Owners to ensure scalable, testable, and maintainable data quality controls.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

As a Senior Business Intelligence Analyst, you'll develop data models, conduct analysis, and support strategic decision-making while mentoring junior analysts.