Top Data Analyst Jobs in Edinburgh

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Produce and maintain portfolio, investment, financial and performance analysis to support programme assurance. Improve data quality, investigate root causes, create Power BI reports, present insights to stakeholders, and contribute to data governance and process improvements to inform senior decision-making.

The role involves prioritizing data correspondence, analyzing large datasets, producing reports for stakeholders, and suggesting process improvements for client asset protection.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

The Functional Analyst - Data will manage data extraction, validation, and organization from legacy HR systems, ensuring the integrity of archived data and documenting functional requirements while collaborating with technical teams.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

Perform spatial data compilation, cleaning, mapping, and statistical analysis to support renewable energy siting and impact evaluation. Produce visualizations, written briefs, and technical materials; coordinate with regional teams; support indicator development, monitoring, and rapid research synthesis to inform clean energy transition strategies.

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.

The Investment Data Analyst will ensure accurate management of security and investment data, troubleshoot data issues, support corporate actions, and enhance data quality.

Join the Business Data team to manage and govern Business Banking data, deliver analytics and insights, design data strategy and integrations, implement controlled BAU processes, mitigate data risks, and explore responsible AI adoption to support Society and Business Banking objectives.

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.

Lead research and thought leadership on audit data analytics, produce high-value insights and presentations, advise clients and sales, mentor junior analysts, shape research agenda, and drive data-analytics strategy and process improvements within internal audit.

Manage and improve the marketing database to enable precise audience segmentation and campaign targeting. Build and maintain audience segments, gather marketer requirements, collaborate with marketing and data teams, ensure data quality and GDPR compliance, process incoming lead data, and provide training and support to marketing stakeholders to maximize database utilization and campaign performance.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health 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.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.

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.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

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.

The Index Data Management Analyst handles benchmark and index data for investment processes, ensuring accuracy in data delivery, and resolves data exceptions while supporting pricing and valuation processes.

The Index Data Management SME Analyst acts as a subject matter expert for benchmark data, resolving complex inquiries, supporting teams with analysis, and driving process improvements.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.