Top Data Jobs in Edinburgh

Develop enterprise-grade data models for financial services. Conduct business analysis, design data models, support governance, and utilize modelling tools.

Manage and develop data analysts for high-quality datasets delivery, driving business efficiencies and fostering an agile, collaborative culture within the data team.

The Data Analytics Manager will lead a team to provide insights and data manipulation for stakeholders, utilizing advanced analytics and visualizations. Responsibilities include customer liaison, supporting data-driven decision-making, and contributing to the ongoing evolution of business intelligence within the organization.

The role involves developing a data-led fund supervision framework, analyzing large datasets for insights, and collaborating with supervisors to enhance market engagement and ensure regulatory compliance in asset management.

The Data Analyst will manage, analyze, and optimize large datasets for forecasting and modeling. Responsibilities include automating workflows, ensuring data quality, and delivering insights through collaboration.

Design and build data pipelines, analyze market data, use cloud tools, and develop insights for policy-making and supervision in financial markets.

Support the transformation of complex datasets from Local Authorities into a standardised schema by analysing, cleaning, and ensuring data quality.

The Data Coordinator will analyze large datasets, guide Local Authorities on data transformation, manage tasks, and improve processes.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Finance Internal Controls Senior Analyst will manage risk data, streamline reporting processes, and collaborate on data insights and automations.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The Blockchain Data Solutions Engineer role involves working with the Sales team to understand customer needs, translating business cases into data solutions, and guiding customers on querying and integrating onchain data using Dune's products.

The Director will lead the Online Safety Group's data and intelligence initiatives, develop strategies, coordinate data analysis, and ensure effective utilization of insights for online safety decision-making.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

The Analyst will research and provide insights on AI, ML, and Data Science, advising clients and supporting sales with high-value presentations and mentorship.

Lead the Market Data Quality & Benchmarks organization, overseeing data quality, pricing methodologies, and operational excellence in market-data products.

As a Data Science Manager at Monzo, you'll lead a team to generate insights, influence customer operations strategy, and drive data-driven product improvements.

As a Senior Data Analyst, you'll work within the HR Tech team, analyzing large datasets to drive improvements in People operations and communicating insights effectively to stakeholders.

The Business Data Analyst will analyze data to inform business strategy, build reports and dashboards, and provide insights for decision-making.

Lead the data strategy, architect analytics foundations, and turn sales data into insights for product innovation and revenue growth.

As a Data Science Intern, you'll identify frameworks for data-driven business challenges, transform datasets, run analyses, build machine learning models, and communicate results.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.