Top Data Jobs in Belfast

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

The Director of Data & Analytics will lead a multidisciplinary team, unify the analytics strategy, and oversee data governance and platform evolution to enhance decision-making and business impact at MacPaw.

Join 9fin's Data Operations team, focusing on delivering high-quality financial data through monitoring, analysis, and timely updates on market news and company performance.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

As a Senior Director at Burson, you'll lead the growth of data and AI offerings, engage clients, empower teams, and drive product innovation in strategic communications.

Lead the establishment of n8n's data strategy and infrastructure, drive a data-centric culture, and oversee a growing team of data professionals.

The Data Lead will define and execute the data strategy, modernize the data stack, establish a centralized data platform, and lead the data team while partnering with cross-functional stakeholders.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

The Data Lead will oversee data engineering and science teams, drive fintech innovation, and establish high-quality data solutions and practices.

The Data Engineer will design and maintain data infrastructure, build scalable data pipelines, ensure data integrity, and integrate third-party data sources for analytical capabilities.

As a Lead Data Architect, you'll shape data strategy, design secure data architectures, mentor a team, and collaborate with stakeholders on complex projects.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

As a Data Scientist at Typeform, you'll analyze data and build AI/ML models to develop innovative features and drive business impact, collaborating closely with cross-functional teams.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The role involves collecting and analyzing data from the private credit market, managing data quality, and collaborating on insight reports.

As a Data Engineer, you will design, build, and maintain data pipelines and infrastructure to support data-driven decision-making in a collaborative environment.

Lead a team of data analysts in delivering insights, optimizing SQL queries, and developing impactful dashboards and reports for business decisions.

The Senior Data Engineer will lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

Design and maintain data pipelines using Azure Data Factory and Databricks, ensuring data quality and collaborating with stakeholders to meet data requirements.

As a Data Engineer, you will design and deploy production data pipelines on AWS, collaborating with stakeholders while processing large datasets.

Support the transformation of complex datasets from Local Authorities into a standardised schema by analysing, cleaning, and ensuring data quality.

The Data Coordinator will analyze large datasets, guide Local Authorities on data transformation, manage tasks, and improve processes.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.