Top Analyst Jobs in Glasgow

As an Information Management Analyst, you will support governance, access, and use of information, manage document systems, improve data quality, and enable digital operations across the organization.

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.

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.

Develop, enhance and maintain Treasury and Finance reporting systems using SAS and ETL tools. Support regulatory reporting, data migration, integration projects, BAU processes, and collaborate across Finance and Treasury in an Agile environment to improve data governance and reporting resilience.

Lead research and thought leadership on audit data analytics, produce high-value insights and presentations, advise clients and sales, mentor junior analysts, shape research agenda, and drive data-analytics strategy and process improvements within internal audit.

Partner with Product, CS, Sales, and Data to define adoption and impact metrics, build reusable analytical frameworks, run deep-dive analyses combining quantitative and qualitative signals, ensure event instrumentation quality, create dashboards and customer-facing insights, and apply AI-assisted workflows to accelerate product analytics and storytelling.

Collect, clean, normalize, and analyze complex datasets; develop data collection systems; maintain databases; create queries, views, and reports; generate ongoing reports and identify process improvement opportunities.

Senior individual-contributor analytics role delivering product, commercial, and customer insights. Owns high-impact analyses, experimentation, forecasting, segmentation, and churn/risk models. Writes SQL/Python, partners with Data Engineering, Product, and Commercial teams, mentors junior analysts, automates reporting, and communicates actionable findings to influence product and commercial decisions.

The Pricing Analyst will optimize insurance pricing through data analysis, experimentation, and collaboration, improving growth and profitability while managing day-to-day pricing performance.

The Senior Pricing and Paywalls Product Analyst will automate analytical data collection, analyze product metrics, organize A/B tests, and support the generation of product hypotheses to identify growth opportunities.

The Senior Analyst, Revenue Analytics is responsible for developing sales performance reports, ensuring data integrity, supporting forecasting, and delivering insights for strategic decision-making.

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.

As a Business Analyst (BI), you will gather requirements, coordinate with BI developers, enhance BI products, and support user adoption through collaboration and training.

Analyze and interpret complex datasets to support business decisions; perform data validation, profiling, reconciliation and root-cause analysis; develop SQL queries and Power BI reports; present insights to stakeholders; support data onboarding, automation/AI initiatives and process improvements to enhance data quality and operational efficiency.

Support analytics projects using customer and transactional data to produce actionable insight for M&S Food. Build and maintain automated reporting (Power BI), apply statistical techniques (regression, clustering), develop data products on the Azure platform, and present clear commercial recommendations to stakeholders.

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.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

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

Develop and maintain store resource plans, forecasts and scheduling demand curves. Configure and optimise workforce systems, produce planning MI and dashboards, provide resourcing insights, and support stakeholders through transformation and change initiatives across store and central teams.

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.

Lead analytics strategy for Financial Services & Payments, own end-to-end reporting and MI capability, develop scalable dashboards and data solutions, partner on data infrastructure and governance, generate customer and commercial insight, and lead and develop a high-performing analytics team to inform senior decision-making.

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.