Top Data Analyst Jobs in Edinburgh

The SEO & GEO Data Analyst will own measurement frameworks, deliver insights, maintain dashboards, and foster data-driven decision making for SEO and generative AI strategies.

As a Data Analyst at GoHenry, you will analyze data, present insights, and collaborate with teams to drive product enhancements. Responsibilities include A/B testing, building robust dashboards, and continuous improvement of data practices.

The Senior Game Data Analyst leads analysis on player behavior and game performance, turning complex questions into actionable insights and recommendations for game teams and stakeholders.

The Data Analyst will focus on compliance and regulatory reporting, transforming complex data into actionable insights, automating data solutions, and supporting audit requirements within the financial services sector.

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.

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.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

The Sustainability Data Analyst conducts data-driven research, supports investment decision-making through sustainability insights, and collaborates across teams to enhance investment processes.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

The role involves supporting performance analytics by managing historical data, enhancing Hive platform capabilities, and delivering insights to clients in the Energy & Natural Resources sector.

As a Finance Data Analyst Industrial Placement, you'll manage Griffin's data warehouse, develop dashboards, and support financial analysis. You'll apply AI tools and improve processes within the Finance team to enhance decision-making.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

As a Principal Data Analyst at Airalo, you'll drive product analytics by defining success metrics, designing experiments, and analyzing user behavior to influence product strategy and connect metrics to revenue outcomes.

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.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead the marketing measurement strategy for Airalo, including Marketing Mix Modeling, incrementality testing, and attribution methodologies. Collaborate across teams to drive data-informed decisions and optimize marketing spend in a global context.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

The Senior Data Analyst for Rail Fraud will track fraud metrics, support revenue protection initiatives, automate reporting, and collaborate with stakeholders to identify fraud trends and ensure data compliance.

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.

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.