Top Analyst Jobs in Glasgow

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.

Manage and analyse large datasets from multiple sources to produce ongoing reports, statistics and performance metrics for customer service functions. Provide insights and visualisations to support data-driven decisions that improve internal processes and customer experience, collaborating across teams to implement improvements.

Manage requests for new ServiceNow reports and dashboards, resolve dashboard/reporting incidents, train users on dashboards, build executive KPIs and scorecards, engage stakeholders to gather requirements, and apply AI/Generative AI for reporting automation and insights.

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 Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

The Metals Insight Analyst at Kpler will conduct market research on metals and energy-transition materials, analyze supply and demand trends, create publications, and engage with clients, helping to shape the company's metals dataset and strategic insights.

Support revenue and pricing strategy through modeling, analytics, and econometrics. Assist in setting deal and product pricing, create standard offers, and capture value. Perform routine analytical tasks and process improvements under supervision, working on limited-scope projects and following established procedures.

Analyze and report product performance for Trade Finance, FX and Derivatives; produce dashboards and MI; track KPIs; document requirements and customer journeys; support product roadmaps, transformation and stakeholder presentations to improve customer experience and operational efficiency.

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.

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.

Lead analytics and optimization of the full RCM lifecycle (eligibility, billing, denials, collections). Build dashboards, perform variance and root-cause analyses, drive cash collections, support audits and payer contract reviews, and translate data into actionable insights for leadership.

Transform operational data into actionable insights by building semantic models, reporting solutions and metrics (Power BI/Fabric, DAX, M, SQL). Ensure data quality, governance, access controls, troubleshooting, documentation, and stakeholder collaboration to enable self-service analytics.

Use People data and performance metrics to define KPIs, analyze trends, build dashboards in Looker/Sheets, create predictive models to identify talent, and deliver data-driven recommendations to improve engagement, performance, hiring, and processes across the business.

Use customer insight, market research and competitor analysis to identify gaps and opportunities in Business Banking, shape propositions, influence strategic decisions, produce insight-led reports and recommendations, support journey reviews and stakeholder engagement to improve customer outcomes and digital adoption.

The Lead BI Analyst will collaborate with cross-functional teams, leveraging data to drive insights and strategic decision-making to enhance business performance.

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.

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.

Analyze and investigate service data to produce actionable insights and statutory returns for Childrens Services. Advise senior management and stakeholders on performance, service needs, and improvement opportunities, ensuring timely, accurate data to support quality decision-making.

Lead end-to-end process mapping and analysis using BPMN and process/task-mining tools to identify inefficiencies, create As-Is/To-Be documentation, define BRDs, model future-state scenarios, and drive cross-functional implementation with executive reporting.

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.

Temporary 3-month role supporting employee survey programs: build/configure surveys, clean and visualize data in Excel, draft executive PowerPoint outputs, synthesize qualitative feedback, perform QA, and support impact analysis and project tasks alongside consultants and program managers.

Build and maintain Power BI dashboards and automated Databricks data pipelines using SQL and PySpark. Partner with commercial and trading teams to deliver data-driven reporting, present insights to stakeholders, and continuously improve reporting and analytics capabilities.

Build and maintain Power BI dashboards, develop automated data pipelines and reporting solutions in Databricks using SQL and PySpark, support commercial and trading teams, partner with M&S Online stakeholders, present actionable insights, and improve reporting and analytics capabilities.