Top Data Jobs in Belfast

Lead the research strategy for GenAI agents using LLMs, mentor teams, drive innovation, and align technical strategy with business goals.

The Master and Reference Data Strategy Manager oversees the adoption of Master and Reference Data, managing projects, stakeholder alignment, data cleanup, and compliance with governance requirements.

The Data Analyst will analyze data, identify trends, create visualizations, prepare reports, and improve business practices for clients.

This role focuses on developing the Data and MI function to enhance control effectiveness, support control design, and provide actionable insights through data analysis.

The Director of Supply Chain Data Solutions will oversee data strategies to optimize supply chain processes, implement AI solutions, and ensure data governance, all while leading a team and collaborating with cross-functional partners.

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.

The Data Engineer will design and deploy production data pipelines, work with AWS technologies, and integrate data from various sources while collaborating with teams and stakeholders.

As a Data Analyst intern, you will collect and analyze data to support decision-making, create dashboards, and present insights to stakeholders, ensuring data accuracy.

The role involves analyzing customer data to provide insights, support sales, and collaborate with teams for customer-centric strategies. Responsibilities include data visualization, project execution, and enhancing service delivery.

The role involves enhancing BI solutions, developing analytical tools for the Supply Chain, integrating AI, and collaborating with various stakeholders.

The Analyst will enhance BI tools, analyze requirements, develop analytics for informed decisions, and collaborate with cross-functional teams.

As a Data Architect at Kainos, you will provide guidance on data architecture, manage a small team, ensure data solutions fit client needs, and engage with stakeholders. You will also lead technical projects and support junior staff development.

The FinOps Sr Specialist analyzes cloud costs, provides optimization solutions, develops reports, and trains colleagues on cost management strategies.

The Finance Internal Controls Senior Analyst will manage risk data, streamline reporting processes, and collaborate on data insights and automations.

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 Data & Insights Analyst will provide analytical expertise to support Go-To-Market initiatives, optimize business models, and facilitate strategic decision-making through data-driven insights.

The Data Architect will design and implement cloud-native data architectures, maintain data pipelines, and collaborate with teams for data-driven solutions.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

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.

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.

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

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

Develop reliable tracking and analysis of customer usage metrics, empowering strategies for churn anticipation, expansion opportunities, and revenue growth.