Top Data Analyst Jobs in Belfast

Develop and enhance Citi’s trade cost analytics platform, delivering trade, expense, volume, and product analysis. Reconcile trade expenses against third-party invoices, calculate trading fees, identify process improvements, and improve cost-reporting transparency. Partner with trading desks, business management, operations, and technology teams to gather requirements, define metrics, and deliver platform enhancements through the software development lifecycle.

Supports Finance and Go-To-Market departments by designing data recording systems, monitoring data quality, enforcing governance, analyzing large datasets, producing concise reports, and recommending process improvements. The role translates complex findings into actionable insights for non-technical stakeholders and supports Sales, Marketing, and Customer Success objectives.

Lead development and enhancement of Citi's trade cost analytics platform. Design trade and cost analytics, reconciliation processes, and fee calculations. Partner with front/middle office, operations, and technology to gather requirements, translate business needs into SDLC deliverables, and deliver reporting and platform improvements to increase transparency and accuracy.

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze complex insurance data to support business decisions, improve data quality, and resolve issues through validation, profiling, reconciliation, and root-cause analysis. Develop SQL queries, create Power BI reports, communicate insights to varied stakeholders, and support data onboarding, workflow automation, risk management, and process optimization. Collaborate with customers, data providers, and internal teams to improve operational efficiency and data lifecycle processes.

Analyze internal and external education data for Camden’s Education Commissioning and Inclusion division. Responsibilities include statutory SEN2 returns, calculating education performance indicators, developing dashboards and self-service data products, delivering bespoke analysis for strategic decisions, and collaborating with data engineering and architecture colleagues to develop data infrastructure.

Provides actuarial and analytical support for pricing, reserving, due diligence, and portfolio management. Responsibilities include validating and reconciling complex datasets, investigating data discrepancies, transforming data, producing management reports, improving reporting processes, and preparing analytical exhibits. The role collaborates with actuarial, finance, claims, underwriting, and M&A teams while developing technical expertise in insurance and reinsurance analytics.

Own marketing analytics, funnel reporting, dashboards, attribution, cohort analysis, and conversion rate optimization. Analyze customer journeys from acquisition through retention, identify funnel losses, and design and evaluate A/B and multivariate experiments across landing pages, signup, onboarding, and email. Partner with marketing, product, engineering, RevOps, sales, and leadership to improve measurement, define trusted metrics, and translate findings into prioritized growth recommendations.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Leads client and account data analysis across enterprise ecosystems, serving as the subject matter expert for data flows, lineage, governance, and quality. Performs advanced SQL analysis, reconciliation, profiling, and root-cause investigation; documents data models and source-to-target mappings; translates business needs into technical requirements; and leads UAT, data migration validation, and quality initiatives. Partners with business, compliance, operations, engineering, and governance teams to improve data accuracy, regulatory compliance, and reporting.

Maintains customer sub-accounts, product pricing setups, client and product reference data, and settlement instructions across systems. Coordinates globally to ensure consistent data models, verifies regulatory and control requirements for institutional accounts, resolves complex processing issues, and supports projects and escalations. Applies analytical judgment, risk awareness, and compliance practices while delivering accurate and timely operational services.

Maintains customer sub-accounts, product pricing setups, reference data, and settlement instructions across multiple systems. Coordinates with global operations teams to ensure data consistency, verifies regulatory and control requirements for institutional client accounts, handles escalations, supports projects, and manages routine processing while safeguarding compliance and operational accuracy.

Leads enterprise Client and Account data analysis, architecture, lineage, governance, quality, and reconciliation. Uses advanced SQL across multiple database platforms to investigate data issues, validate migrations, and design quality frameworks. Translates business needs into technical requirements, specifications, user stories, and test cases while coordinating UAT and Agile delivery. Partners with business, compliance, operations, engineering, and governance teams on data standards, metadata, privacy, and regulatory reporting.

Manage market data service requests, subscriptions, and inventory changes through Optimize Spend while meeting SLAs. Coordinate with internal stakeholders, Business Advisors, Procurement teams, and external vendors. Reconcile vendor services and inventories, identify discrepancies, maintain data accuracy, and support expense integrity. Improve operational processes through automation and AI tools, and contribute to strategic initiatives and cross-functional deliverables.

Build and enhance AWS QuickSight reporting for Customer Service, create reusable datasets, integrate business data sources, and establish consistent metrics and documentation. The role translates stakeholder needs into dashboards, automates manual reporting, validates data quality, investigates issues, and supports self-service analytics and knowledge transfer during a six-month engagement.

Manage market data service requests, subscriptions, and profile changes through Optimize Spend while meeting SLAs. Collaborate with internal stakeholders, procurement teams, and external vendors; reconcile vendor services and inventory to maintain data and expense accuracy. Support process improvements using automation and AI, contribute to strategic initiatives, and handle cross-functional management requests. The role requires strong Excel, analytical, organizational, communication, and prioritization skills in a fast-paced operational environment.

Analyze and validate traffic datasets, develop methodologies for incomplete data, and create dashboards, visualizations, and reports. Evaluate emerging data collection technologies, identify new insights and revenue opportunities from existing data and footage, and support proof-of-concept projects. The role requires collaboration across international teams, clear documentation, strong stakeholder communication, and adherence to data protection protocols.

Build and maintain OneStream forecasting, planning, reporting, and dashboard capabilities for Commercial FP&A. Develop demand planning models, reports, reconciliations, and performance monitoring processes while supporting month-end reporting and data improvement initiatives. Partner with finance, data, administration, and implementation teams to optimize the platform, automate processes, troubleshoot performance, deliver actionable insights, and develop internal OneStream expertise. The role also evaluates AI and automation opportunities across FP&A workflows.

Leads Gartner thought leadership and client advisory research on data management and AI readiness. Develops market insights, analyzes client challenges, predicts trends, creates research and presentation content, supports sales and conferences, and advises executives. The role also establishes analyst-team viewpoints, reviews content, improves research processes, mentors colleagues, and represents Gartner’s methodology. Requires deep expertise in data architecture, data operations, database and integration practices, and AI-ready data management, with up to 25% travel.

Analyze fraud and scam data to identify trends, patterns, risks, and potential issues. Develop, test, deploy, and improve fraud reporting and provide actionable insights to prevent financial loss. Collaborate with analytics teams, business stakeholders, and regulators on reporting requirements and ad hoc analyses. Communicate technical findings clearly to non-technical audiences while maintaining accuracy and attention to detail.

Analyze Gecko browser engine telemetry across Desktop and Android, build leadership dashboards, identify telemetry gaps, develop frameworks to remove bot and hardware noise, and correlate performance metrics with user behavior. The role requires advanced SQL, statistical analysis, data visualization, browser component knowledge, and independent problem solving to translate engineering data into product strategy.

Own regulatory analytics and reporting by building audit-ready datasets, pipelines, dashboards, compliance metrics, and automated workflows. Analyze complex data, monitor quality, support audits and regulatory exams, and deliver actionable insights to compliance teams and leadership. Translate regulatory requirements into accurate reports using Python, SQL, dbt, and Airflow while partnering cross-functionally to manage data issues and remediation.

Analyze campaign and CRM data using SQL and BigQuery, reconcile data sources, investigate discrepancies, and build accurate Power BI dashboards. Present actionable marketing insights and recommendations to stakeholders, explain methodology and limitations, defend findings, and independently make routine analytical decisions while escalating significant blockers.

Collect, clean, validate, and analyze data using Excel, SQL, Power BI, and Microsoft Fabric. Create dashboards, reports, visualizations, KPI reporting, and actionable recommendations for business and client decision-making. Collaborate with analysts, consultants, and stakeholders, present findings clearly, maintain reporting solutions, and support data quality and project delivery. The role offers early-career development in data analytics and consulting.

Leads research and advisory work for CIOs on data, analytics, and AI strategy, governance, operating models, architecture, value realization, and emerging technologies. Develops thought leadership, market analysis, presentations, and actionable client guidance; evaluates agentic and composite AI, modern data platforms, AI-ready data, organizational maturity, and capability-building needs. Represents Gartner at client meetings and conferences, supports sales, mentors colleagues, and shapes research agendas.