Top Analyst Jobs in Glasgow

Leads complex analytical initiatives that generate measurable commercial, customer, and operational impact. Champions experimentation and evidence-based decision-making, identifies opportunities for AI and automation, designs and evaluates pilots and interventions, and influences business strategy through insights, storytelling, stakeholder management, and advanced analytical expertise.

The Data Analyst will analyse complex datasets, develop dashboards and reports, translate stakeholder requirements into data-driven solutions, and support analytical models and AI-enabled capabilities. The role involves collaborating with engineers, architects, and business analysts; ensuring data quality and governance; participating in Agile delivery; presenting insights; and supporting UX/UI for digital tooling within a secure Defence programme.

Lead workforce forecasting and planning across assigned portfolios, identify capacity gaps and hiring needs, analyze workforce trends, and provide executive-level insights. The role partners with senior stakeholders, improves workforce data quality and governance, strengthens planning processes, and drives adoption of workforce planning tools. Advanced Excel, analytical thinking, forecasting, presentation, stakeholder management, and problem-solving skills are required.

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.

Analyze customer behavior, market trends, product performance, and portfolio dynamics using SAS. Lead analytical projects, develop data solutions, produce management information and insights, and translate technical findings into business recommendations. Partner with stakeholders across the organization, manage analytical requirements and expectations, coordinate cross-functional reporting and incident-resolution projects, and communicate progress clearly while supporting retail banking and savings strategy.

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.

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.

Support EMEA Partnerships by managing and reconciling student data (deep Salesforce CRM work), maintaining data hygiene, creating reporting and forecasts, identifying trends across the student lifecycle, and delivering actionable market and competitor insights to inform business development and partnership growth. Collaborate cross-functionally to implement optimizations, improve enrollment and retention, and produce dashboards and analyses that drive strategic decisions.

Build and maintain finance data models, pipelines, analytical models, datasets, and Power BI reports using Microsoft Fabric, Databricks, PySpark, and related platforms. Integrate SAP and non-SAP financial data, ensure metadata, lineage, governance, and production reliability, and manage code releases through GitHub. Collaborate with finance, engineering, and business stakeholders to deliver scalable, AI-ready data solutions and translate complex information into actionable insights.

Conducts qualitative and quantitative research on technology partner ecosystems, alliances, marketplaces, channels, and go-to-market strategies across EMEA. Responsibilities include survey design, data analysis, executive interviews, market research, written thought leadership, consulting support, client presentations, webinars, and trend analysis involving AI and cloud ecosystems.

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.

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.

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.

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.

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.