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.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Director of Data & Analytics will lead a multidisciplinary team, unify the analytics strategy, and oversee data governance and platform evolution to enhance decision-making and business impact at MacPaw.

The Principal Data Architect will lead data architecture design and integration for the Adviser business, ensuring data strategies support company goals and stakeholder needs.

The Data Analyst will focus on data analysis, acquisition, and preparation for delivery, ensuring data quality and supporting industry analysis while collaborating across teams.

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.

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

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

The BI & Data Analyst role involves analyzing user behavior, building reports, optimizing data collection, and providing actionable insights for marketing and product teams.

The Commercial Data Analyst will manage commercial data to drive business growth, define KPIs, implement data strategies, and support sales and marketing through data governance and integration.

Lead the data engineering organization, architect data systems, implement governance frameworks, and develop a high-performing team for data-driven decision-making.

The role involves delivering reporting solutions, translating data requirements, data wrangling, and transitioning reports to cloud environments.

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.

As a Data Engineer, you'll maintain and configure the Snowflake data platform, design integration pipelines, and innovate with new tools. Your role supports data security and performance while collaborating across teams.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

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.

As a Senior Data Insurance Analyst, you will analyze large datasets to deliver insights that aid strategic decisions, improve performance and enhance efficiency. You will work with cross-functional teams, design data models, conduct predictive analyses, and mentor junior analysts to drive business growth and innovation in the insurance sector.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.

As a Data Analyst, you'll leverage data to identify growth opportunities, conduct A/B tests, and communicate insights across teams to shape strategies effectively.

The Senior Data Consultant will engage with business stakeholders to define data models and oversee the delivery of data solutions, ensuring compliance and alignment with business needs in a cloud environment.

Lead the technical design of data infrastructure, implementing scalable and secure data pipelines while collaborating with engineering and product teams.

The Data Analyst will analyze and visualize complex mobile telemetry datasets, build dashboards, and collaborate with cross-functional teams to support data-driven product insights and detection strategies.

The Senior Data Analyst will own the analytics function end-to-end, turning raw data into actionable insights for product, operations, and growth strategy.