676 to 700 of 4,009 Analytics Jobs

technologies. Experience working with enterprise data platforms such as Databricks , PostgreSQL , or similar technologies. Strong stakeholder management and communication skills. Desirable Skills Knowledge of analytics and reporting platforms (e.g., Power BI). Experience with DevOps, CI/CD pipelines, and Infrastructure as Code. Familiarity with modern data governance and cloud ...

translate complex business requirements into meaningful insight through Power BI, Azure Data Lake, Databricks and SQL, whilst championing best practice across reporting, analytics and data management. Alongside leading transformation initiatives, you'll mentor your team, promote continuous improvement and help establish a future-ready data function that delivers real commercial ...

client is a global professional services firm with thousands of employees operating across multiple international regions. They are continuing to invest significantly in technology, analytics and AI, creating a sophisticated data environment that supports business-critical decision making and innovation. This role sits within a growing technology function and offers ...

across a complex, disparate landscape, and then accelerate the good prototypes to production. ResponsibilitiesDesign, build, and enhance data pipelines and integration frameworks supporting AI, analytics, and business applications. Improve data quality, reliability, lineage, and monitoring. Implement AI first approach: use AI agents as a primary tool to design, build, test ...

engineers, software engineers and data scientists to deliver robust, secure and maintainable Foundry solutions. Integrate Foundry with wider enterprise platforms, cloud environments and downstream analytics tools. Build trusted relationships with senior stakeholders, shaping new opportunities and ensuring value realisation from the platform. Skills and experienceSignificant hands-on experience delivering Palantir ...

Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make ...

Azure ecosystem and Databricks . This is an exciting opportunity to be at the forefront of data innovation, working within a newly formed Data & Analytics team in a long standing London Market Insurer . You’ll help shape the data strategy, improve data quality, and empower the business to make ...

data platform. The role combines data architecture, hands-on engineering, line management and technical leadership to provide secure, scalable and trusted data for reporting, analytics and AI. As a Lead Data Engineer, you will:Design and implement scalable data warehouse and Microsoft Fabric solutions. Define data architecture standards, design patterns ...

desire to learn, grow, and develop professionally. The Opportunity An exciting opportunity has arisen for a Data Engineer to join a high-performing Data Analytics team. The successful candidate will play a key role in designing, developing, and maintaining data solutions that support critical business and investment activities. Key Responsibilities ...

challenges and using data science techniques to recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing ...

proactive management, trend analysis and service performance governance. Participating in the squad as agreed, provide the link between the membership business teams, data and analytics teams, technology delivery teams, ensuring requirements, risks, assumptions and dependencies remain clear throughout the delivery lifecycle. Support testing, validation and implementation activity by defining ...

Responsibilities Core data engineering Design, build and maintain robust batch and streaming pipelines (ETL/ELT) across structured and unstructured sources Model data for analytics and downstream use, with clear schemas, lineage and documentation Own data quality, validation, monitoring and alerting so the platform can be trusted Optimise pipelines ...

data modeling and data integrationSkilled in data manipulation, processing and orchestration frameworksHands-on experience with Data Factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestProficiency with GitHub, GitHub Actions and Azure DevOpsStrong communication and collaboration skills to align technical and business stakeholdersProven ability to lead ...

investigate and formally document a complex, tightly integrated Legacy application and its underlying databases. This is not a BI, reporting, dashboarding or commercial analytics position. We require someone who has personally reverse-engineered poorly documented applications and databases and produced detailed technical data manuals for use by architects, developers ...

large or complex datasets between platforms. Experience designing staging and production data environments. Strong understanding of data transformation and mapping. Experience supporting reporting and analytics through well-designed data structures. Ability to provide technical leadership across data migration workstreams. Strong stakeholder management and communication skills. Experience identifying and managing data ...

experience. • Chartered Engineer status or equivalent professional recognition. • Microsoft Azure platform experience. • Exposure to CI/CD and DevSecOps practices. • Experience with reporting and analytics platforms such as Power BI. • Knowledge of containerisation technologies including Docker and Kubernetes. • Experience working with international and distributed teams. • Familiarity with data warehousing concepts ...

powering LightWork AI's platform. This role will architect and scale the systems that power our AI products — from real-time data pipelines and analytics infrastructure to vector databases and machine learning data workflows. You will work closely with AI engineers, backend engineers, and product teams to ensure our platform ...

learn new technologies and engineering practices. Desirable Experience with Microsoft Azure. Exposure to CI/CD or DevSec Ops practices. Experience with reporting and analytics tools such as Power BI. Knowledge of containerisation technologies such as Docker or Kubernetes. Experience working in Agile delivery environments. Exposure to data warehousing concepts ...

metadata and stewardship. Ensuring data integrity, security, accessibility and compliance across multiple group businesses. Working with business stakeholders to identify opportunities for improved reporting, analytics and data-driven decision-making. Supporting the development of a consistent, scalable and commercially valuable enterprise data capability. Collaborating with technology, operations, information security ...

commissioning, OT networking and application support.Integration and Data Flow• Define integration needs across Workforce, Customer Comms, SMS, Web Outage Maps, Regulatory Reporting and analytics platforms.• Review SOAP, DB links, API gateway, Kafka and event-driven integration options for resilience during storm-event bursts.• Support DERMS-to-ADMS interface discovery where ...

Framework JavaScript React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure-by-design principles Technical assurance and governance Disaster recovery ...

Framework JavaScript React Vue.js Windows Presentation Foundation (WPF) REST APIs Microservices architecture AI & Data Technologies AWS SageMaker Large Language Model (LLM) integrations AI-assisted analytics solutions Python-based data analysis tooling Architecture & Governance Enterprise cloud architecture Security architecture and secure-by-design principles Technical assurance and governance Disaster recovery ...

commercial products through thorough analysis. Required Quialifications Bachelor's degree in a STEM subject 4+ years of work experience in a data analytics role with an exceptional track record. Experience in management reporting, automation and business forecasting. Demonstrated proficiency in leveraging AI-powered tools to automate routine tasks and enhance ...

languages (Python, JavaScript, or similar) and system integrations using APIs. Data & Automation: Strong analytical skills with experience managing BigQuery, ETL processes, or cloud-based analytics, alongside BI/reporting tools. Communication: Able to support both technical and non-technical users patiently and clearly, design complex spreadsheets, and translate business requirements ...

release processes. Strong analytical and communication skills. You may also haveProduct or Business Analysis certifications (BCS, IIBA, Product Owner, Scrum) and training in analytics, data models, SQL or systems analysis. Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road ...