Top Data Jobs in Edinburgh

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.

Manage and maintain infrastructure to support threat intelligence collection, perform system administration tasks, and improve analyst efficiencies.

Develop data science-driven algorithms to enhance business processes, focusing on risk management and debt collection while optimizing credit services offered.

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.

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 Senior Data Engineer, you will design and develop large-scale data processing solutions and lead technical components in agile teams.

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 Data Solutions Consultant will engage with decision-makers, provide product demonstrations, and collaborate on innovative marketing strategies to drive sales growth and client satisfaction.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.

As a Senior Data Insurance Engineer, you'll build scalable data solutions, design data pipelines, and ensure data quality across the insurance industry.

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.

Develop machine learning models, feature engineering, validate performance, and generate actionable insights while collaborating across teams.

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.

The Senior Software Engineer in Test will validate and automate the quality of data pipelines and ETL workflows, ensuring data integrity and performance in a cloud-native SaaS platform.

Lead validation and automation of data pipelines and ETL workflows, ensuring quality and reliability of data across cloud-native platforms. Collaborate with teams to implement automated testing and integrate quality checks into CI/CD pipelines.

Lead validation and automation of data pipelines, ensure data quality, and collaborate on building robust testing frameworks for cloud-native applications.

Lead validation and automation of data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Collaborate with teams to maintain automated test frameworks and quality gates.

Lead validation and automation of data pipelines and ETL workflows, ensuring data integrity and performance across cloud-native platforms. Collaborate with teams to design, build, and maintain test frameworks, while mentoring peers and enhancing best practices in data testing and automation.

The Senior Software Engineer in Test will validate and automate data pipelines and ETL workflows, ensuring data quality and performance across cloud-native platforms. Responsibilities include designing test frameworks, enforcing quality standards, and collaborating across teams for scalable, reliable solutions.

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.