Top Analyst Jobs in Glasgow

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Leads complex data, business analysis, and transformation initiatives across global teams. Responsibilities include defining business cases, managing projects and workstreams, investigating data quality and control issues, documenting data lineage, performing root cause analysis, developing dashboards and KPIs, facilitating stakeholder workshops, supporting process improvements, and coordinating user acceptance testing. The role requires strong communication, advanced Excel, project ownership, and the ability to translate complex findings into executive recommendations.

As an Associate Data Engineer, you will lead analytics initiatives, providing strategic oversight for project controls and governance on complex infrastructure projects, ensuring data-driven insights manage risks and improve performance.

Analyze and improve marketplace health by evaluating supply-demand balance, fulfillment, quality, availability, and concentration metrics. Partner with Product, Engineering, and Operations teams to define success measures, analyze experiments, assess product and algorithmic changes, build dashboards, investigate trends, and communicate actionable insights that support data-informed marketplace and product decisions.

Supports communications measurement and analytics for an automotive client focused on motorsports and Formula 1. Responsibilities include media content collection and coding, data quality management, reporting, visualization, qualitative analysis, insight development, customized reporting, and client presentations. The role provides actionable recommendations on content strategy, media outreach, and influencer activity while responding to real-time questions and ad hoc research requests.

Generates evidence-based leads and external market intelligence by monitoring procurement, funding, policy, commissioner, competitor, and market developments. Conducts market sizing, opportunity assessment, competitor profiling, and research across priority sectors and geographies. Produces concise lead briefs, market assessments, intelligence alerts, executive summaries, and maintained knowledge repositories to support growth strategy, pipeline development, market entry, and senior decision-making.

Maintains enterprise pipeline data quality and CRM governance, produces dashboards and management reports, supports pipeline reviews, analyzes conversion and win/loss performance, monitors recompete exposure and portfolio risk, and reconciles pipeline assumptions with financial forecasts. The role provides actionable insights for opportunity prioritization, resource allocation, governance, and continuous process improvement.

Conduct sector research and analysis for the fintech ecosystem, produce data reporting, and engage with fintechs and strategic partners. Support marketing and communications, ecosystem engagement, impact reporting, events, and strategic programmes while collaborating across the organisation.

Analyze fraud and scam data to identify trends, patterns, risks, and potential issues. Develop, test, deploy, and improve fraud reporting and provide actionable insights to prevent financial loss. Collaborate with analytics teams, business stakeholders, and regulators on reporting requirements and ad hoc analyses. Communicate technical findings clearly to non-technical audiences while maintaining accuracy and attention to detail.

Analyze Gecko browser engine telemetry across Desktop and Android, build leadership dashboards, identify telemetry gaps, develop frameworks to remove bot and hardware noise, and correlate performance metrics with user behavior. The role requires advanced SQL, statistical analysis, data visualization, browser component knowledge, and independent problem solving to translate engineering data into product strategy.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

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.

Own analytics across the participant lifecycle, including acquisition, onboarding, activation, engagement, retention, churn, and reactivation. Build metrics, dashboards, reporting frameworks, and experimentation analyses using SQL and Python. Partner with Product, Operations, Growth, Data Science, Commercial, and Finance to identify marketplace opportunities, evaluate experiments, and translate participant and supply data into actionable commercial and strategic decisions.

Leads global people analytics, HCM reporting, and U.S. compliance reporting using Workday and PeopleSoft. Develops reporting solutions, gathers requirements, manages testing, troubleshoots integrations and workflows, maintains data mappings, and supports data audits. Partners with HR stakeholders on projects, ad hoc requests, privacy reviews, documentation, and training. Oversees reports including EEO, AAP, VETS-4212, California pay data, and other regulatory submissions while improving enterprise reporting processes.

Analyze customer, market, and operational data to identify trends, risks, and opportunities. Produce reports, dashboards, forecasts, and recommendations for senior stakeholders. Use SQL, SAS, SAS Viya, and modern data tools to manage complex datasets, improve data quality, automate workflows, and support strategic decisions. Collaborate across business, data, and technology teams to improve processes and embed data-led decision-making.

Build and enhance AWS QuickSight reporting for Customer Service, create reusable datasets, integrate business data sources, and establish consistent metrics and documentation. The role translates stakeholder needs into dashboards, automates manual reporting, validates data quality, investigates issues, and supports self-service analytics and knowledge transfer during a six-month engagement.

Analyze campaign and CRM data using SQL and BigQuery, reconcile data sources, investigate discrepancies, and build accurate Power BI dashboards. Present actionable marketing insights and recommendations to stakeholders, explain methodology and limitations, defend findings, and independently make routine analytical decisions while escalating significant blockers.

Lead marketing analytics: own reporting frameworks, dashboards, and data quality; monitor KPIs; run A/B tests and experiments; build attribution, forecasting, segmentation, and budget-allocation models; automate workflows and drive continuous measurement improvements.

Supports EU commercial excellence through sales quota management, sales compensation analysis, pipeline reporting, dashboard enhancements, and proactive analytics. The role maintains business intelligence solutions, improves data visibility and operational processes, develops actionable insights, and partners with sales teams and senior leadership to improve execution and enable data-driven decisions.

The job description provides limited role-specific detail. The Senior Performance Analyst will support performance analysis within Evri Group, a large UK parcel delivery organization, helping assess business and operational performance across its delivery network and brands.

Develop marketing budget allocation models, Early LTV metrics, performance diagnostic frameworks, and analytical tools. Analyze products, channels, campaigns, cohorts, attribution, and marketing economics using SQL, experimentation, BI tools, and spreadsheets. Support AI-based analytics development and unified BI metrics while translating findings into business rules and recommendations.

Conduct research, market sizing, forecasting, competitive analysis, and thought leadership on enterprise AI services. Develop actionable insights for technology providers and senior executives through published research, presentations, conferences, and client engagements. Assess market trends, demand drivers, customer behavior, and growth opportunities while advising clients, supporting sales, reviewing content, mentoring analysts, and improving research processes.

Manage Information Management and Document Control services in a regulated energy environment. Ensure documents, drawings, registers, and operational information are accurately classified, controlled, distributed, retained, retrieved, and archived. Provide governance, compliance assurance, reporting, and quality control while supporting Asset Integrity and Process Safety. The role involves stakeholder coordination, document tracking, numbering, information-system support, records management, and continuous improvement of information controls and data integrity.

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.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.