326 to 350 of 2,367 Analytics Jobs

product, ensuring it delivers value to customers and the business. Reporting to the VP of Product and work closely with engineers, designers, analytics, marketing, and operations, building and deploying the technology that powers the future of consumer lending. Key Responsibilities Define and deliver the product vision and roadmap Collaborate cross ...

problem-solving skills across systems Nice to have Experience with Databricks or Snowflake Knowledge of industrial communication protocols Exposure to signal processing or predictive analytics Cloud certifications ...

innovative range of road vehicles, all equipped with state-of-the-art technology, for a contract opportunity. If you have a background Data Analytics and using Ticket Management systems, this could be the role for you! Responsibilities of the Technical Officer include: * Use ticket management tools to understand the service ...

private sector clients. What you’ll have the opportunity to do as a Data Engineer Designing and building reliable data pipelines to support analytics and reporting Working with streaming and batch data from multiple sources in cloud environments Collaborating with engineers, analysts and product teams to deliver scalable data solutions ...

/ML-driven platforms, translating capability into business use cases Role Requirements • Background in Solutions Engineering, Technical Consulting, or Customer Success • Experience with data, analytics, or AI platforms • Strong at translating business needs into technical delivery • Experience running client workshops or enablement sessions • Comfortable working across client and engineering stakeholders ...

tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez. • RDBMS: Knowledge of PostgreSQL is a plus. • Industry Experience: Proven experience building enterprise-wide data and analytics systems, preferably in financial services or asset management. ...

global projects Skills & Experience: Experience with ERP systems (e.g. SAP, Oracle, BaaN) Advanced Excel and strong IT skills Ability to write SQL queries Data analytics knowledge Experience with reporting tools (e.g. Power BI or Tableau) EDI experience a bonus Due to the volume of applications received for positions, it will ...

actually sat at the centre of business decisions, not just reporting? We’re working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn’t a reporting role. It’s focused on exploring data and solving ...

collaborating confidently with senior stakeholders Minimum 2:1 bachelor's degree (or equivalent) in a numerical discipline with commitment to continuous learning in analytics, data science, AI, and emerging technologies; project management skills advantageous ...

private sector clients. What you'll have the opportunity to do as a Data Engineer Designing and building reliable data pipelines to support analytics and reporting Working with streaming and batch data from multiple sources in cloud environments Collaborating with engineers, analysts and product teams to deliver scalable data solutions ...

developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry and enable secure data sharing. Requirements Previous experience ...

first 6 months on client projects, and up to £45,000 within 24 months. Translate your degree into a high-growth career in Data, Analytics & AI. We’re partnering with an award-winning data consultancy that hires graduates and transforms them into world-class consultants working with leading UK brands. ...

transformational stage. Your new role Stakeholder engagement - you will be working closely with finance, procurement and sales supporting with financial data strategies. Reporting and analytics - develop and build out reports to support financial decision-making, data quality and presenting to senior management. Business improvements - important to stay in tune with ...

architectures for marketing use cases Integrate and manage multiple data sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards ...

data, and platform layers. Key Responsibilities: Lead the design and execution of end-to-end testing across a three-tier lakehouse architecture (landing, curated, analytics zones) Define and implement DBT testing strategies, including schema validation, data assertions, and freshness checks Oversee testing of AWS Glue ETL pipelines, ensuring transformation accuracy ...

strong foundational understanding of architecture. You’ll be responsible for building and shaping the core data architecture suite, working closely with data architects and analytics teams to understand enterprise‐wide consumption needs and translate them into high‐quality physical data models. You’ll bring strong knowledge of both AI‐driven ...

architectures for marketing use cases Integrate and manage multiple data sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards ...

integrations across internal and third‐party systems. Developing in‐house solutions to replace outsourced or legacy technology. Creating data pipelines that improve reporting and analytics for portfolio managers. Owning projects end‐to‐end — from gathering requirements through to deployment. What you’ll need 5–6 years’ experience as a software ...

controls, and financial crime risks Experience working with transaction monitoring or payment screening systems Hands-on experience in rule tuning, data analysis, or fraud analytics Proficiency in SQL or similar data querying tools for analysing large data sets Experience producing insightful reporting and MI for stakeholders Knowledge of payment flows ...

consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems ...

Junit, Test Containers, Vitetest and StoryBook. Expertise in developing and deploying onto a Windows and Linux environment. Desirable skills: Experience with data science, analytics, and AI solutions. Knowledge of secure private/public cloud platforms, virtualisation, and containerisation. Background working within the public sector or government agencies. Join a forward ...

Build robust data pipelines and platforms in cloud environments. Support requirements capture, technical discovery, and solution development. Create architectural views for data software and analytics solutions. Work with structured and unstructured data, selecting the right approach for each use case. Contribute to system integration, deployment, and capability operation. Support ...

consultancy to recruit an experienced AI Engineer to work on cutting-edge Generative AI and agentic AI solutions. Our client delivers data platforms, advanced analytics and AI/Machine Learning solutions that drive tangible business outcomes. The focus is on designing, deploying and operating production-grade GenAI and agentic systems ...

will architect and deliver scalable cloud-based data platforms, engineer robust pipelines for structured and unstructured data, and help shape the future of advanced analytics capability. This isn't another 'move data from A to B' role You'll work across the full lifecycle: requirements capture, architecture, design, integration ...

learning models to solve real-world problems and apply them to tasks such as identifying bad actors, preventing fraud, building anomaly detection models, and analytics at a high scale. As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead ...