Top Analyst Jobs in Edinburgh

Support and administer UK & Ireland employee benefits programmes, manage lifecycle events and vendor relationships, handle renewals and harmonisation projects, maintain HRIS and payroll data accuracy, produce benefits reporting and analysis, support enrolment and communications, and coordinate sensitive processes like sickness absence and death-in-service with compliance and professionalism.

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.

Prepare and analyze monthly, quarterly, and annual financial reports; build models, forecasts, and budgets; track KPIs and revenue trends; perform variance and profitability analysis; support cash flow forecasting, strategic planning, and stakeholder presentations; recommend process improvements and collaborate with cross-functional teams in a remote environment.

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

Lead requirements elicitation, rapid prototyping and Fit/Gap analysis for Microsoft Business Applications projects. Drive entity modelling, workshops, stakeholder influence, Azure DevOps requirements management, testing support, presales input, solution envisioning and mentoring junior BAs to ensure traceable, value-driven solutions and smooth operational transition.

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.

Lead research and advisory on B2B marketing data operations and governance, focusing on AI agent readiness, data pipelines, identity resolution, taxonomy, and metadata. Produce research, presentations, and client-facing advisory for CMOs and demand generation leaders. Mentor junior analysts, support sales and events, and translate complex technical requirements into actionable business insights.

The Senior Director Analyst for AI Cybersecurity will provide expert analysis and guidance on leveraging AI in cybersecurity for clients, driving innovation and impact in their operations.

As a Technical Business Analyst, you'll analyze business needs, translate them into technical specifications, and improve collaboration between technical teams.

Conduct advanced OSINT and data mining across the surface and deep web to analyze mobile threats. Monitor forums, messaging channels, and dark web communities; extract large datasets; apply statistical, scripting, and AI techniques; translate findings into technical intelligence reports and actionable detection/enforcement recommendations; collaborate with technical teams to automate data collection and build lightweight tools.

Monitor payment flows and KPIs across PSPs, manage incidents end-to-end in Jira, perform root-cause analysis, maintain runbooks, coordinate with internal teams and vendors, produce KPI and vendor performance reports, and use AI tools to streamline operations and surface anomalies.

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.

The Senior Energy Market Analyst will model European energy markets, lead projects implementing PLEXOS software, and support business development efforts.

The Business Systems Analyst will analyze end-to-end processes, improve systems integration, and identify automation opportunities while liaising with stakeholders and Technology teams.

Lead ICP definition, account scoring, and account/contact strategy to prioritise sales efforts. Build scoring models, design tiering and territory recommendations, govern enrichment/data strategy, track market signals, and partner cross-functionally with Sales, Marketing, and Enablement to improve targeting, conversion, and go-to-market execution.

Own and improve data quality, coverage, and methodologies for dirty petroleum products. Lead investigations, validation, ingestion, and backtesting. Coordinate with Product, Engineering, and Commercial teams, mentor junior analysts, and drive initiatives to enhance data granularity and accuracy across flows and geographies.

Lead research, analysis, and client-facing workstreams for strategic consulting projects. Design methodologies, synthesize qualitative and quantitative data, produce polished deliverables and recommendations, manage project timelines, contribute to proposals, and support team development and client engagement.

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.

Transform SOC operational data into actionable insights to improve MDR service delivery. Analyze workflows, identify gaps and trends, define performance metrics, validate improvements, integrate AI into analysis, conduct root-cause investigations, and collaborate with cross-functional teams to enhance quality, efficiency, and customer experience.

Prepare, reconcile, analyze and report business unit revenue, contracts, projects and related metrics. Load and maintain project budgets and data in Oracle/Revenue Wizard, draft monthly actual vs. budget/forecast analyses, support forecasting and backlog submissions, perform project close-outs and reconciliations, attend project meetings, and monitor project financial health (revenue, gross profit, receivables, unbilled amounts).

Perform end-to-end detection and response in a 24/7 SOC, investigate threats across identity, endpoint, network and cloud, mentor junior analysts, lead shifts, improve processes and automation, and collaborate with internal teams and customers.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Analyze, validate, and troubleshoot financial and operational data to produce decision-grade insights. Build and maintain budgeting, forecasting, and financial models; develop dashboards and reports; perform variance and root-cause analysis; partner with finance and operational stakeholders to improve data quality, reporting, and automation.

Prepare UK Group corporate tax returns using OneSource, manage POAs and PAYE settlements, prepare tax provisions for US GAAP and UK statutory accounts, support tax governance and UK tax authority relationships, drive process improvement and automation, and undertake ad-hoc projects to develop international tax expertise.

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