Top Analyst Jobs in Glasgow

Perform data extraction, storage, manipulation and analysis to support business solutions. Profile, map and standardise data, write queries, ensure data quality, identify inconsistencies, and collaborate with stakeholders to translate needs into data requirements and processes.

Provide QA-focused data analysis: review and sign off data extractions and manipulated datasets, ensure GDPR-compliant handling, validate mail-merge outputs, perform root cause analysis, strengthen data controls, and prepare QA&A reports while collaborating with UK and India teams.

Maintain accurate product and multi-level Bill of Materials (BoM) and SKU data in the ERP, support BoM creation and changes, ensure data integrity, manage SKU lifecycle and workflows, collaborate with cross-functional teams, investigate errors, and deliver continuous improvement and reporting to support manufacturing and supply chain projects.

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.

The Senior Product Analyst will automate data collection, analyze product metrics, conduct A/B tests, and support product hypothesis generation.

Develop and maintain shared Power BI semantic models and dashboards using star schema. Write SQL against BigQuery, optimize report performance, define data/reporting best practices with Microsoft Fabric integrations, and consult on wireframes and visualizations to deliver actionable marketing insights for stakeholders.

Work with stakeholders, product and technical teams to elicit, document, and translate business and data requirements into user stories and acceptance criteria. Support backlog refinement, run workshops, assist data analysis and validation, and identify process improvements to enable data-driven decisions.

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Provide SKU-level demand forecasts, set reorder points and safety stock, reconcile inventory, analyze 3PL/carrier performance and shipping costs, build automated dashboards and SQL pipelines unifying Shopify, Amazon, and 3PL data, run ad-hoc promo and launch analyses, and partner with Growth and Operations to align stock and reduce logistics cost.

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 end-to-end insights projects that turn cross-functional data into commercial recommendations. Use SQL and Snowflake to extract data, apply statistical methods and LLMs to analyze structured and unstructured data, model financial impacts with Finance, and present clear, actionable findings to senior leadership and the exec team.

Own end-to-end insight projects turning cross-functional data into clear commercial recommendations. Extract and manipulate datasets from Snowflake using SQL, apply statistical methods and LLMs to analyze data, model financial impact with Finance, and present actionable findings to senior leadership to drive product, sales, marketing, and finance decisions.

Develop and manage forecasting and scheduling models, systems, and methodologies to analyze and assess volumes, staffing, and scheduling effectiveness. Provide measurement and decision-support for planning, work on moderate-scope projects, identify solutions to technical problems, apply judgment within defined parameters, and communicate findings. Work reviewed for accuracy; must support US hours and rotating Saturday shifts.

As a Senior Impact Analyst, you will analyze sustainability challenges, design and manage interventions, and work closely with smallholder communities, emphasizing rigorous research and collaboration.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

Lead the data solutions strategy for PR&C PSP division, managing data initiatives, teams, and collaborating on analytics projects. Ensure compliance, governance, and optimize data services while communicating technical solutions to stakeholders.

Lead credit strategy for Monzo's credit card products: design underwriting and limit strategies, analyse portfolio performance and profitability (NPV), build segmentation and forecasting, run deep-dive analyses, partner with Product/Engineering/Data Science, evaluate commercial/customer impacts, present recommendations to senior stakeholders, and ensure regulatory and governance alignment.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.

The Integration Analyst certifies new integrations, supports partners during development, executes testing, documents configurations, and troubleshoots API issues.

The Product Analyst will identify growth opportunities, evaluate product changes through A/B testing, build dashboards, and communicate insights for data-driven decisions.

The Director Analyst evaluates AI networking technologies, predicts market trends, communicates insights to clients, and collaborates to enhance account success.

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.

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.

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