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.

Support Project Compass and the ICC transformation by analysing operational and asset performance data, producing management information and Power BI reports, leading continuous improvement projects, and communicating insights to stakeholders to drive data-driven decisions and process optimisation.

Monitor, analyse and report on business performance and KPIs. Develop Power BI dashboards, management information, data models and reporting solutions; investigate root causes of performance issues; ensure data quality; recommend improvements; and support governance and performance reviews. Collaborate with stakeholders to automate and streamline reporting and translate complex data into actionable insights.

Build consumer and market insight stories for priority countries by combining syndicated market data, sales data, and primary research. Manage external research and data-provider relationships, track competitors and pricing, produce fact packs and dashboards, and present actionable recommendations to senior stakeholders. Maintain consistent market definitions and contribute country inputs to KPI frameworks and scorecards across Strategy, Finance, and Leadership.

Supports cross-functional teams by handling ad hoc data requests, manipulating and organizing data, analyzing player behavior, product performance, campaigns, promotions, and operations. Evaluates ROI, investigates trends, creates reports and lightweight dashboards, and translates stakeholder questions into practical insights. The role requires SQL, spreadsheet skills, clear communication, attention to detail, adaptability, and effective use of AI-assisted analytical tools.

Designs and maintains scalable ETL/ELT pipelines using SQL, PySpark, and Databricks. Transforms raw data into reusable models and trusted datasets for BI, self-service analytics, and business decisions. Automates workflows with Power Platform and orchestration frameworks, integrates data with Power BI, and collaborates with engineers, analysts, and business stakeholders to deliver reliable data products.

Designs and maintains scalable ETL/ELT pipelines using SQL, PySpark, and Databricks; transforms raw data into reusable models and trusted datasets for BI and analytics. Develops reporting solutions with Power BI, automates workflows using Power Platform and orchestration frameworks, and collaborates with data engineers, analysts, and business stakeholders to deliver reliable data products.

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.

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.

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 marketing reporting, dashboards, multi-touch attribution, and data storytelling. Maintain accurate marketing data and reporting infrastructure, deliver leadership and board reporting, investigate funnel and channel performance, and surface optimization opportunities. Partner with Revenue Operations to align lead-to-revenue data and collaborate with GTM Engineering on attribution models using Dreamdata. Translate complex trends into actionable hypotheses for marketing teams.

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.

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.

Builds and maintains executive dashboards, KPI reports, forecasts, and performance analyses using Power BI and Excel. Translates complex data into clear visualizations and insights for senior leadership and Board members, prepares board materials, coordinates stakeholder inputs, and ensures reporting accuracy, confidentiality, governance, and timeliness.

Lead complex data analysis and source-system investigations to define, validate and document data requirements. Translate requirements into measurable business outcomes and technical specifications, ensure end-to-end traceability, apply data governance, lead data quality assessments, and collaborate with data engineering and senior stakeholders to deliver sustainable data products.

The Organic Growth Analyst will support SEO and content strategies for B2B SaaS clients, conduct analyses, and help track performance.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

Transform reliability and operational data into insights using analytics, reporting tools and AI to identify trends, automate reporting, investigate performance issues, and present findings to stakeholders to support decisions.