Top Analyst Jobs in Glasgow

Leads client data initiatives in an investment banking environment, translating business requirements into functional and data specifications. Defines data mappings, lineage, migration, reconciliation, and master data hierarchies. Queries complex datasets with SQL, validates implementations, enforces data governance, and collaborates with architecture, engineering, and project teams in Agile delivery. Supports client onboarding, KYC, regulatory reporting, reference data, and other capital markets change programs while engaging senior stakeholders.

Delivers data governance initiatives by gathering requirements, documenting processes and data flows, supporting Microsoft Purview adoption, and improving data quality. Works with data owners, stewards, technical teams, and senior stakeholders to define governance processes, metadata standards, business glossaries, ownership models, controls, and quality metrics. Facilitates workshops, translates business needs into requirements and user stories, investigates data issues using SQL and profiling outputs, and communicates risks, dependencies, and decisions.

Analyze transactional data to detect and prevent financial crime, manage AML alerts, build SQL-based models and dashboards, and improve transaction monitoring and customer risk-rating controls. The role owns financial crime operations capacity planning, models scenarios, identifies data-led improvements, and presents insights to business leaders while collaborating with Product, Compliance, and cross-functional stakeholders.

Own and develop the company’s Power BI reporting environment, including semantic models, dashboards, advanced DAX, Power Query transformations, governance, deployment, and performance optimization. Collaborate with Data Engineering and business stakeholders to define KPIs, validate data, improve reporting quality, and deliver scalable BI solutions. Support data architecture, data quality, ad hoc analysis, and continuous improvement across enterprise reporting assets.

Builds and maintains global Workday HR reporting infrastructure: gathers requirements, develops custom reports and dashboards, tests and validates solutions, supports UAT, mentors peers, handles ad-hoc data requests, and improves report performance and user adoption across HR teams.

Own GTM and sales analytics across pipeline performance, forecasting, funnel conversion, win/loss analysis, lead and account scoring, territory planning, quota modeling, and capacity planning. Partner with RevOps, Sales, Product, Finance, and Analytics Engineering to improve metric definitions, Salesforce and product data models, dashboards, and decision-making. Translate complex analysis into clear recommendations for GTM leadership.

Develop and optimize marketing reports, monitor product and advertising campaign KPIs, integrate and visualize data, investigate performance deviations, analyze campaigns, and recommend improvements. The role requires strong Google Sheets skills, basic SQL, A/B testing, mathematical statistics, and English proficiency. Python, web analytics, Google Ads, and BI experience are preferred. This is a fully remote position.

Analyze financial and commercial data to drive revenue, pricing, and profitability decisions. Build and maintain BI dashboards, model pricing scenarios, identify cost-optimization opportunities, and partner with Data Engineering and cross-functional teams to operationalize insights and track long-term impact.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Build and maintain reports, dashboards, and data visualizations using Power BI or Tableau. Extract and analyze data from SQL databases and Excel files, explain findings to teams and clients, troubleshoot reporting issues, and automate repetitive tasks. The role requires strong SQL skills, BI tool expertise, and conversational English for remote collaboration with global clients across varied industries.

Analyze player behavior and live-game performance across retention, engagement, progression, funnels, cohorts, churn, and monetization. Build dashboards, define KPIs, investigate anomalies, and communicate insights clearly. Own the internal game analytics platform, ensuring reliable event tracking, consistent metric definitions, and accessible performance views. Collaborate with developers and potentially help transform the platform into a public Roblox analytics product.

Develop and optimize analytics solutions, dashboards, reports, and scalable data pipelines using SQL, Databricks, Python, and Spark. Collaborate with stakeholders to translate business requirements into analytical solutions, improve analytics infrastructure, and communicate insights through Tableau or Power BI. The role also provides technical guidance and mentorship to junior team members while supporting continuous improvement of analytics capabilities.

Supports Business Banking through data management, governance, analytics, strategy, and solution design. Builds automated, controlled, and auditable data processes; analyzes and interprets complex data; develops insights to improve strategy and personalization; manages critical data risks and issues; and explores responsible AI adoption. The role also requires collaboration with technical and non-technical stakeholders across the organization.

The Data Analyst develops and maintains Power BI and Tableau reports, monitors data pipelines and refresh schedules, ensures data quality, and supports business-critical planning and reporting processes. The role interprets data, communicates insights, trains users, supports data governance and literacy initiatives, coordinates reporting activities, and works with stakeholders and IT Services on system improvements, cloud migration, and report deployment. Responsibilities also include workload prioritisation, documentation, regulatory data submissions, and community-of-practice activities.

Develop and maintain enterprise Power BI and Tableau reporting solutions, data pipelines, models, dashboards, and analytics using Snowflake, SQL, dbt, and Alteryx. Analyze institutional and external data to support strategic planning, forecasting, recruitment targets, and executive decision-making. Ensure data quality, reporting governance, release standards, and stakeholder satisfaction. Provide technical guidance, training, and support across the University, contribute to emerging AI-enabled analytics, and potentially line-manage junior developers.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.

Embedded within the commercial team, the Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics across non-technical commercial teams.

Develops and supports Power BI dashboards, SSRS reports, data models, KPIs, and executive reporting. Builds and optimizes SQL queries, validates data, troubleshoots reporting issues, manages reporting lifecycles, and automates reporting workflows. Partners with business stakeholders to gather requirements, deliver insights, maintain documentation, support data governance, and improve reporting platforms and data quality.

Analyze and integrate multiple data sources, build conformed data models, and create accessible Power BI dashboards and reports. Apply statistical techniques including regression, correlation, and significance testing to generate actionable insights. Clean and transform data using SQL, Python, Power Query, and M, while communicating findings to technical and non-technical stakeholders and recommending emerging visualization technologies.

Investigate and improve the quality of chartering datasets covering vessels, ownership, fixtures, cargo orders, positions, and shipping zones. Use SQL and Python to analyze large datasets, identify inconsistencies, develop validation checks, and investigate root causes. Review AI-parsed fixture data, maintain geographic mappings in QGIS, establish data-quality metrics, and collaborate with Product, Data, Research, Engineering, and AI/ML teams to drive systematic improvements.

Own analytics across the participant lifecycle to support acquisition, onboarding, activation, engagement, quality, retention and reactivation. Build metrics, dashboards, and experimentation frameworks with SQL and Python; partner with Product, Operations, Growth, and Data Science to run experiments and translate marketplace data into actionable decisions that improve participant health and supply sustainability.

Manage daily Data team operations, research and analyze datasets, build internal and external reports (including an annual Startup Ecosystem Ranking), and maintain/improve Python scripts and data infrastructure to deliver actionable insights.

The Senior Business Analyst collects, analyzes, and presents data to support business decision-making, reporting, and strategic planning within the organization.

The Principal Biostatistician leads biomarker analysis for clinical studies, develops evaluation plans, conducts data analyses, mentors staff, and ensures accurate statistical deliverables while collaborating across teams.

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.