76 to 100 of 9,860 Analytics Jobs in the UK

seeking a Senior Data & Analytics Consultant to join our growing team and play a key role in helping our customers turn data into meaningful insight and measurable impact. In this role, you will design and deliver robust data and analytics solutions that strengthen data foundations, enable AI-driven initiatives … support better operational and strategic decision-making. About the Role The Senior Data & Analytics Consultant designs and delivers data and analytics solutions that help customers improve operational performance and decision-making. Working closely with the AI Practice Lead, Business Consultants, Functional Consultants and delivery teams, this role ensures strong foundations ...

Title Analytics Engineer Job Description Summary Analytics Engineer | Databricks | Agentic AI | EMEA & APAC We lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already … like to hear from you. Job Description We lead the data transformation of our EMEA and APAC business, and we are looking for an Analytics Engineer to join us. Our lakehouse platform is mature and well established. It is built on Databricks and already runs the business end to end. ...

part of the Telefonica Tech Data Office, the Senior Data Analytics Engineer is responsible for designing, building, and continuously improving analytics data products across the full platform lifecycle. This role requires both soft skills and technical capability to translate business requirements into production-grade data models and reports, and ensures … performant transformation logic. Data quality discipline: designs for validation, testability, lineage awareness, and predictable operational behaviour. Collaboration and influence: works effectively across engineering, analytics, and business stakeholders; drives clear technical decisions. Senior execution: balances speed and rigor, improves existing patterns, and raises team capability through mentoring and review. Skills & Technologies ...

including spots and derivatives. The team develops and implements trading strategies in fast-paced and complex trading environments. We are seeking an experienced Trading Analytics Developer to join our Quant Trading team and play a pivotal role in advancing our data and AI infrastructure. This role combines traditional quantitative development … with cutting-edge AI platform engineering, focusing on building robust, scalable systems that serve both data analytics and artificial intelligence workloads. The ideal candidate will bridge the gap between high-performance trading systems and modern AI capabilities, ensuring reliability, performance, and actionable insights across both domains. Job Responsibilities Data Platform ...

Data Engineer, Belfast £45,000-£50,000 + Benefits | Belfast | Hybrid An established organisation is continuing to invest in its Data & Analytics function and is looking for a BI Data Engineer to join its growing team in Belfast . This is a great opportunity for a BI Data Engineer with … background in data engineering, business intelligence, SQL and data analytics to join a forward-thinking team and play a key role in improving how data is managed, accessed and used across the organisation. You'll work across data pipelines, ETL, data modelling, reporting and analytics , helping to develop reliable data ...

following person. Please read the spec carefully. STRATEGIC BUSINESS UNIT DESCRIPTION The Quant Group is a global, cross-asset team that builds the software, analytics, data products and AI-enabled tooling that underpin the Global Markets business. The analytical software and data solutions developed by The Quant Group are widely … strategic direction of data products across core Capital Markets domains such as client, trade, market and risk data; champion adoption of governed data and analytics products; and ensure that solutions align with business priorities, regulatory expectations and technology strategy. The role acts as the bridge between trading, risk, quant, distribution ...

Pigment with its integration with D365 Business Central, working closely with Finance and business stakeholders to build and maintain financial planning models and analytics capabilities. The role would suit someone that has supported a finance function in Business Intelligence and Data Analytics enablement (Power BI is also used … Business Intelligence Developer or IT Finance Systems Analyst Experience using enterprise planning solutions such as Pigment, Anaplan, Adaptive Planning, Oracle EPBCS, SAP Analytics Cloud, TM1 or similar. Strong financial modelling and analytical skills. Advanced Microsoft Excel skills, SQL/Python coding is desirable Excellent communication and stakeholder management skills. Ability ...

define solution architectures, support the evolution of Servent's Data and AI offerings and help establish Servent as a recognised leader in Azure Data, Analytics and AI transformation. KEY OBJECTIVES The successful candidate will: Develop innovative Data and AI offerings aligned to Microsoft's strategic priorities. Support the growth … develop Data and AI roadmaps. Translate business requirements into scalable, secure and cost-effective Data and AI solutions. Provide strategic guidance on data transformation, analytics modernisation, governance and AI adoption. Develop trusted relationships with senior customer stakeholders and become a recognised advisor on Data and AI strategy. Solution Architecture ...

Engineer on a 2 year fixed term appointment to play a key role in designing, building and maintaining a modern data environment that supports analytics, reporting and wider business decision-making. The role will focus on developing scalable data pipelines, robust data models and reliable data platforms, ensuring that data … effective relationships with internal stakeholders, third-party suppliers and external partners where needed. Promote continuous improvement, innovation and best practice across data engineering and analytics services. Act as a positive role model within the team, encouraging knowledge sharing, accountability and a service-led mindset. Core Responsibilities Design, build and maintain ...

modernizing our data platform to enhance product offerings, closely collaborating with stakeholders across the organization to maximize the value of data for reporting, analytics, and decision-making processes. In this role, you'll help transform our cloud data landscape, working with streaming technologies, cloud data warehouses, and Lakehouse architectures … that support scalable, flexible data processing Enhance platform integration by leveraging domain events to enable more efficient and real-time data processing Self-Service Analytics & Enablement Champion the adoption of generative AI features such as Amazon Q and Copilot to deliver intuitive analytics experiences Build sophisticated solutions to deliver actionable ...

Learning models and endpoints; Power BI dashboards and dataset refreshes. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. DevOps & Automation Maintain CI/CD pipelines using Azure DevOps, GitHub Actions, etc., for ADF, Databricks and ML model deployments. Develop automation … optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server/Azure SQL DB, Snowflake or BigQuery. Monitor ETL performance and investigate slow-running queries and data load failures. Issue Investigation & RCA Investigate ...

effective and aligned with industry best practices. You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks … access, data warehouse design, performance tuning, governance, and cost optimisation. Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads. Assessment & Modernisation : Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks. Data ...

looking for a Senior Advanced Analyst to help shape how Essex ICB uses advanced analytics, evaluation and population health intelligence to support strategic commissioning, prevention, transformation and resource allocation. This is a senior specialist role focused on understanding the drivers of demand, outcomes, variation, inequalities and cost across our population. … methods to complex system questions and translate findings into clear intelligence that supports senior decision making. The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. ...

optimisation of our modern data ecosystem. You'll help define technical strategy, drive engineering best practice and build the data foundations that power analytics, machine learning and operational decision making. Working closely with Data Scientists, BI Developers, Analysts and stakeholders across Technology and the wider business, you'll deliver scalable … databases, data warehouses, data lakes, lakehouses and streaming data platforms. Support the development of event-driven and real-time data architectures that enable advanced analytics and machine learning capabilities. Evaluate and implement modern data technologies, tools and frameworks to enhance analytics and data processing capabilities. Define and promote best practice ...

services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations. EXL was founded on the core values … York, our team is over 60,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com. BU/Segment: Analytics/Data Management/Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type: Permanent to start ASAP Summary ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...