Top Data Analyst Jobs in Belfast

Lead measurement, reporting, and optimization of global marketing performance. Build dashboards and reporting frameworks across GA4, Salesforce, Pardot, paid media, and social. Analyze campaign, funnel, pipeline, and ROI performance, establish KPI definitions and governance, and provide actionable insights to marketing, sales, and executive stakeholders.

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.

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.

Support daily client and operational data stewardship, execute data set-up tasks (customers, traders, instruments, invoicing), resolve trade breaks, complete BAU by EOD, assist with data integration and firm-wide projects, and support process improvements.

Analyse membership and CRM data to produce insights that inform engagement and membership strategy. Source and manipulate data from multiple systems, run statistical analyses, deliver regular and ad-hoc reports, create visualisations, present findings to technical and non-technical stakeholders, and contribute to cross-functional projects to improve member outcomes.

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.

Lead and deliver data insight products (reports, dashboards, visualisations), gather requirements via workshops, analyse data across descriptive to prescriptive analytics, advise stakeholders on effort and technical implications, and manage, coach, and develop a small analytics team.

Own end-to-end product analytics for the Pro team: build production-grade pipelines and dbt models, define north-star metrics, design A/B tests and causal inference frameworks, create dashboards and metric frameworks, embed AI tooling, and translate insights into product recommendations for leadership.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

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.

Lead end-to-end SAP data migration for large S/4HANA programs: analyze legacy and target models, define mappings, perform profiling and cleansing, build migration datasets with SAP tools, develop reusable frameworks and automation, create data quality dashboards, support cutover and post-go-live stabilization, and mentor data teams.

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.

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

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.

The Senior Director Analyst, MDM at Gartner will lead analysis and provide insights to help enterprise leaders succeed with their priorities in business and technology.

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.

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.

Manage market data order queues, liaise with vendors and stakeholders, reconcile vendor services, resolve queries, support process improvements and automation, and contribute to strategic market data projects and leadership requests.

Leads research and client advisory on emerging AI data security and AI ecosystem data management trends. Develops research reports, presentations, briefings, and tailored recommendations for technology executives and product leaders. Analyzes technologies, vendors, markets, and competitive landscapes; builds expert networks; delivers client inquiries and speaking engagements; and collaborates with analysts and service teams to ensure high-quality research. The role requires deep cybersecurity and AI data expertise, strong writing and presentation skills, executive presence, and up to 25% travel.

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

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.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

Partner with product and business teams to define metrics, design and analyze experiments, build analytical frameworks, maintain governed dashboards, conduct deep-dive analyses (funnels, retention, cohorts), size opportunities, and connect product metrics to revenue to inform roadmap and leadership decisions.

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.