Top Data Analyst Jobs in Belfast

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.

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 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.

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.

Perform full-stack on-chain and product analytics: query on-chain data, profile ecosystem actors, benchmark protocols, define KPIs, build dashboards, and translate findings into actionable briefs for strategy, BD, product, and growth teams.

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.

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

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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.