Top Data Analyst Jobs in Edinburgh

Execute end-to-end client requests for high‑net‑worth clients within Private Banking, manage operational processes, uphold risk and compliance standards, improve processes, and collaborate with bankers and cross‑functional partners to deliver accurate, timely, and confidential client outcomes.

Maintain and transform investment data by building data systems and pipelines, performing complex analysis, combining multiple sources, improving data quality, and presenting results via visualization. Collaborate with clients, system architects, and product teams to deliver actionable insights and analytical tools for data-driven decisions.

Operate and maintain data pipelines that validate, transform, and enrich policyholder data for actuarial modelling. Investigate and resolve data issues, apply validation and governance standards, produce reports and visualisations, support audits, and communicate findings to technical and non-technical stakeholders. Drive continuous improvement and manage own workload within established frameworks.

Support delivery of the Data Side of Change across Risk by guiding change teams through governance requirements, identifying data risks, and producing management information and reporting for data forums and Risk committees. Partner with Risk, Change and Technology teams to ensure data impacts are assessed and managed for new products, processes and platforms.

Lead end-to-end SAP data migration for large S/4HANA programs: analyze legacy and target models, define mappings, perform profiling and cleansing, build migration datasets with SAP tools, develop reusable frameworks and automation, create data quality dashboards, support cutover and post-go-live stabilization, and mentor data teams.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Develop and maintain shared Power BI semantic models and dashboards using star schema. Write SQL against BigQuery, optimize report performance, define data/reporting best practices with Microsoft Fabric integrations, and consult on wireframes and visualizations to deliver actionable marketing insights for stakeholders.

Lead analytics strategy and partner with Finance, Sales, Marketing, and Product to design, automate, and maintain metrics, dashboards, and analyses. Ensure data quality (dbt), build scalable analytics solutions, embed AI-driven and agentic workflows, and translate insights into actionable business outcomes to improve acquisition, retention, and growth.

Analyse and interpret complex insurance data to support business decisions, perform data validation and profiling, develop SQL queries and Power BI reports, investigate and remediate data quality issues, collaborate with stakeholders, and support data onboarding and process improvements including automation/AI.

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

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.

Validate and transform policyholder data for actuarial modelling and assumption setting. Specify transformation and validation logic, review data inputs/outputs, document processes, interpret results for stakeholders, propose simplifications based on materiality, and identify process improvements while collaborating across teams to maintain quality and consistency.

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.

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.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

Perform advanced data analysis on large consumer credit datasets using SQL and Python; extract, transform and analyse data; develop innovative analytical approaches; produce clear written and visual outputs to inform regulatory decision-making; collaborate with stakeholders and contribute to an experienced analytics team to deliver insight across consumer finance.

Work with stakeholders, product and technical teams to elicit, document, and translate business and data requirements into user stories and acceptance criteria. Support backlog refinement, run workshops, assist data analysis and validation, and identify process improvements to enable data-driven decisions.

The FP&A Analyst will analyze financial data, support forecasting, collaborate on budget setting, and improve performance metrics through data-driven strategies and models.

Lead QA&A data analysis: verify and sign off data extracts, ensure GDPR-compliant handling, perform root cause analysis, maintain tools and documentation, improve processes, produce reports, and manage/develop Data Analyst team.

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.

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

Support implementation of data governance frameworks across Pensions & Savings. Work with Data Owners, Stewards, and Risk to monitor data quality, track governance actions, maintain documentation, and produce regular and ad-hoc reports to support regulatory compliance and governance maturity. Contribute to continuous improvement of data governance processes and stakeholder reporting.

Deliver HR data, insights and reporting across the employee lifecycle. Produce regular and ad-hoc reports and dashboards, ensure data governance and accuracy, support reward analytics including gender pay gap and pay review modelling, maintain HRIS reporting, and present findings to stakeholders to inform decision-making.

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.

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.