Top Data Analyst Jobs in Belfast

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.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

The Market Data Analyst will assist in data gathering, cleaning, analysis, and reporting for financial institutions, utilizing proprietary software and AI tools.

Perform data collection, analysis, and interpretation to identify trends. Build and maintain dashboards and reports, ensure data accuracy through quality checks, collaborate with teams to deliver actionable insights, and support development of analysis methodologies.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.

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 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 control, issue analysis, and governance for cross-border data transfers. Strengthen control frameworks, analyze and remediate deficiencies, develop policies, monitor control performance, report to senior management, and advise Legal/Compliance/Business stakeholders to ensure regulatory compliance across jurisdictions.

Lead regulatory change and governance activities for Reference Data Services. Manage RCAM processes, liaise with cross-functional stakeholders, provide subject-matter expertise, drive risk and control improvements, allocate resources, and coach staff to ensure operational resilience and regulatory compliance.

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

The Lead Master Data Governance Systems Analyst manages master data accuracy via SAP MDG, collaborates on data integration projects, and provides technical leadership.

Lead research and forecasting on data center compute technologies, publish evidence-based analysis, advise senior IT leaders, present at conferences, and support sales and client engagement around server virtualization, cloud/hybrid infrastructure, containers, HCI, disaster recovery, and related vendor landscapes.

As a Data & Discovery Analyst, you will analyze data to provide insights, support pipeline development, ensure data quality, and collaborate across teams.

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 Data & Analytics Systems & Operations Analyst optimizes licensing processes, manages reporting platforms, ensures invoicing integrity, and provides business insights to enhance customer experience.

The analyst will develop commercial policies and licensing constructs for CME's data products, ensuring they are legally sound and commercially intuitive while protecting IP rights.

The Data & Analytics Systems & Operations Analyst oversees licensing and reporting processes, ensuring product and policy changes are accurately implemented and optimizing customer insights and invoicing integrity.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

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.

The role involves managing individual rights requests under privacy regulations, ensuring compliance, tracking requests, and collaborating with legal and governance teams to improve operational efficiency.

Manage and improve the marketing database to enable precise audience segmentation and campaign targeting. Build and maintain audience segments, gather marketer requirements, collaborate with marketing and data teams, ensure data quality and GDPR compliance, process incoming lead data, and provide training and support to marketing stakeholders to maximize database utilization and campaign performance.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

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.

Own Growth analytics end-to-end: build and maintain production data pipelines and dbt models, define north-star metrics and dashboards, design and run A/B experiments using causal inference, embed LLM/GenAI tooling, and translate insights into strategic recommendations for leadership.