Top Data Jobs in Belfast
The Senior HR Data and Reporting Analyst will oversee metric definitions, develop advanced reporting strategies, implement data analyses, and create comprehensive reports for executives. The role involves leveraging data visualization tools, addressing data management issues, and supporting predictive analyses within HR practices.
The Data Analyst will manage and deliver batch processing jobs, provide training to team members, handle quality control of outputs, assist in onboarding new processes, and contribute to process improvement initiatives while ensuring compliance with GDPR and corporate standards.
As a Data Analyst at Immersive Labs, you will analyze learner data to measure human capability against cyber threats, support product teams with data-informed decisions, and collaborate with cross-functional teams to enhance platform reporting and user insights.
As a Senior Data Analyst at Immersive Labs, you'll define metrics and data visualizations that showcase customer readiness against cyber threats, collaborate with product and data teams for data-informed decisions, and ensure platform reporting meets customer needs. You'll also support analyses for customer success and marketing, working with cross-functional teams to enhance product strategy.
As a Staff Data Engineer at DailyPay, you'll design and maintain ETL/ELT infrastructure, optimize data pipelines, implement data testing capabilities, and help architect the data lakehouse. Your role focuses on building robust distributed data platforms and ensuring efficient data governance and security best practices.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
The Senior Product Data Analyst will lead strategic analytics projects, collaborate with business partners for analytical outcomes, assist with onboarding users in Tableau, and support broader data quality initiatives. This role requires managing multiple stakeholders and delivering actionable dashboards while contributing to the analytics community at Rapid7.
As a Data Engineer II, you will build and maintain ETL and data pipelines, produce and support data reports and dashboards, design data testing and optimization capabilities, and improve the performance of the data infrastructure. You'll collaborate on analytics engineering efforts and maintain monitoring and alerting systems.
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The Data Engineer II role involves building and maintaining ETL and data pipelines, supporting data reports and dashboards, designing data testing capabilities, optimizing database performance, and participating in analytics engineering efforts. The position requires strong SQL expertise and familiarity with BI tools and cloud platforms.
As a Staff Data Engineer, you will build and maintain ETL/ELT infrastructure, optimize databases, and architect data lakes for reporting. You will also design data pipelines, implement monitoring and alerting systems, and participate in analytics engineering efforts, requiring strong SQL and data platform expertise.
As a Data & AI Consultant, you will act as a strategic advisor, working with clients to identify and implement Data & AI solutions that drive business value. Responsibilities include leading client engagements, collaborating on use cases, advising on data governance, and educating executives on relevant technologies.
As a Data Analyst at EFG, you will be responsible for understanding customer needs, driving data-driven decisions, and improving data quality and efficiency. You'll encapsulate business logic in the data warehouse, create analytical solutions, and develop visual storytelling through dashboards while inspiring and guiding team members.
The Data Platform Architect at Groupon is tasked with designing, building, and maintaining robust data platform infrastructure. This role involves defining the architecture and technologies needed for data ingestion, storage, processing, and analysis, while ensuring platform performance and security across cross-functional teams.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
As a Senior Principal Data Engineer, you will design and deliver data services and pipelines while collaborating with cross-functional teams. You'll provide leadership to junior engineers and ensure compliance with data governance best practices, all while utilizing tools like Python, Spark, and Azure.
The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.
As a Senior Data Quality Specialist, you will label, rank, audit, and correct machine learning data with a focus on science, logic, and math. You will evaluate text outputs and provide feedback to improve machine learning models, requiring meticulous attention to detail and a strong understanding of STEM subjects.
The role involves ensuring clients meet data privacy regulations and protecting information. Responsibilities include delivering data privacy projects, consulting on compliance, tailoring processes to client needs, and engaging with multiple stakeholders. The consultant will also identify and pursue business growth opportunities.
As a Lead Data Engineer, you'll design and deploy production data pipelines, ensuring the integration of data components into production systems. You'll support junior team members while handling large-scale data processing on AWS and designing data solutions involving AWS technologies. Familiarity with Agile methodologies and experience in machine learning applications are beneficial.
As a Data Engineer, you'll design and deploy production data pipelines, integrating data from various sources on AWS. Your role will involve scripting, data visualization, and collaborating with cross-functional Agile teams. Experience in machine learning and natural language processing is advantageous, as is proficiency in AWS technologies for building data solutions.
The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.
The Senior Data Analyst will deliver data-driven insights to support business decisions by working with stakeholders, applying analytical techniques, and presenting findings effectively. The role requires ownership of complex projects and a focus on innovation and best practices in a collaborative environment.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
In this internship with Little Caesars' Data and Analytics team, you will support and improve production management models, investigate variables for accuracy, and document code development. This 13-week program includes mentorship, collaboration on data initiatives, and culminates in a presentation to senior leadership about your findings and projects.
The Data Engineer will build scalable data pipelines and design data architecture, including schemas. Responsibilities include developing CI/CD infrastructure, maintaining data APIs, and supporting AI components. The role demands collaboration with stakeholders and requires knowledge in data technologies and performance optimization.
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