201 to 225 of 7,688 Analytics Jobs in London

working across complex transformation programmes and directly with senior client stakeholders.The role will cover:• End-to-end data architecture across ingestion, processing, storage and analytics• Modern data platforms including Snowflake and Microsoft Fabric• Data engineering, ETL and scalable data pipelines• Conceptual, logical and physical data modelling• Cloud data architecture … Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT/Software Sales Internal Positions at Anson McCade ...

first and foremost a data, AI and technology team, you should be comfortable working with large datasets, technical teams and modern analytics tools. As part of the central data, AI and technology team, you’ll have a chance to work across all divisions, including AMS, frontline labels, our catalogue division …/ELT processes and data quality. Working knowledge of Python or another programming language for analysis. Familiarity with Git, version control and modern analytics workflows. Good understanding of AI, machine learning concepts and their practical application. Ability to mentor others and raise the quality of analytical work across a team. ...

help build, optimise, and scale Clarion’s modern data platform. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products.This role is primarily focused on engineering excellence, developing high-quality pipelines … quality, lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold).Build and optimise Lakehouse data models to support analytics, reporting, operational workloads, and downstream product teams.Develop reusable frameworks for ingestion, validation, schema evolution, and monitoring.Ensure all solutions follow Databricks best practices around Unity Catalog ...

qualifications by reading the full overview of this opportunity below. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products. This role is primarily focused on engineering excellence, developing high-quality … lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold). Build and optimise Lakehouse data models to support analytics, reporting, operational workloads, and downstream product teams. Develop reusable frameworks for ingestion, validation, schema evolution, and monitoring. Ensure all solutions follow Databricks best practices around ...

digital transformation of claims management and support new business initiatives to ensure that MR Claims achieve their Ambition 2030.Key Responsibilities: Data collecting, mapping, analytics and maintaining consistency across all clients’ data as well as making data accessible to internal partnersValidating metrics and data quality to ensure calculations are accurate; defining … prioritising backlogs and coordinating delivery with engineering, data and QAUsing statistical tools to interpret data sets, detecting trends and patterns for diagnostic and predictive analytics; proposing data-driven process improvementsWriting clear, testable acceptance criteria; thinking in test cases, edge cases and auditability for UAT and production readinessIdentifying pragmatic AI/ ...

define the architecture, standards and delivery patterns for a modern data platform that will enable trusted data use across products and support advanced analytics and AI. The Principal Data Architect will be the senior technical authority for data architecture within this strategic transformation. The role is architecture-led while remaining … have the mandate to make high-impact architectural decisions, work on complex technical challenges and influence how trusted data powers better customer experiences, advanced analytics and AI. The role offers meaningful visibility, broad collaboration and the chance to create capabilities that will scale across an evolving product landscape. Our Interview ...

expertise with Palantir Foundry and AIP . You will play a key role in designing, developing, and optimizing scalable data solutions, enabling advanced analytics, AI/ML initiatives, and business-critical decision-making. Working alongside data architects, product teams, and business stakeholders, you will help deliver enterprise-grade data products … platforms. Develop and manage data ingestion, transformation, and orchestration workflows within Palantir Foundry . Create and optimize Foundry datasets, pipelines, and applications to support analytics and AI-driven outcomes. Develop interactive business applications using Foundry Workshop , Slate , and custom front-end solutions. Build robust applications and integrations using TypeScript , Python ...

delegated authority oversight. Working across the business, you will help shape the future-state bordereaux data operating model, driving improvements in data quality, governance, analytics and automation. You will play a key role in developing a smarter, more efficient and insight-led approach to bordereaux management, helping to build … market-leading delegated authority data capability that differentiates Chaucer in the London market. Key Responsibilities Drive improvements in bordereaux data quality, governance and analytics, supporting Chaucer's ambition to create a market-leading delegated authority data capability. Contribute to the transformation of bordereaux data management by identifying opportunities to automate ...

partnership with architects, support the design and implementation of best practices in development and data disciplines.* Partnering with business stakeholders, technology, data and analytics teams, to translate business needs into scalable solutions.* Working with the Data Oversight and Information Security teams to ensure compliance with data security and privacy requirements … activities.* Understanding and first-hand experience working with data masters, market data sources, data quality/cataloguing/lineage tools.* Microsoft certified in Fabric Analytics Engineer such as DP-600 or DP-700.* Excellent communication and interpersonal skills, operating at different levels across the organisation.* Self-starter, enthusiastic, and hands ...

decision‐making by synthesising insight into clear options, trade‐offs and recommendations. Work effectively with senior stakeholders while maintaining hands‐on analytical ownership. Advanced analytics & technical delivery Deliver complex analysis using SQL and advanced analytical tools such as Python or R. Design, build and maintain robust analytical datasets and coherent … subject matter expert within assigned domains or initiatives. Coach and mentor BI Analysts through feedback, guidance and example. Collaborate with data, analytics and technology teams to improve standards, reuse and data quality. Continuously improve analytical approaches, tools and ways of working. What you’ll bring Significant experience leading complex transformation ...

quality excursions that arise during the product development and production phases.This is a hands-on role involving deep technical work in Cloud Data Engineering, Analytics and ML.Required Skills & Experience10+ years in data engineering, data warehousing, analytics or similar roles.Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces ...

translate business requirements into BI solutions across Finance, HR, R&D and other teams What You'll Bring 5+ years in Data Analytics/BI, with proven Power BI delivery in production Advanced Power BI (data modelling, DAX) and advanced SQL Experience with enterprise data warehouses, medallion architecture, Kimball methodology ...

Management sector - previous experience required Overview We are seeking a hands-on Software/Data Engineer to join a modern data platform team delivering analytics, reporting and AI-enabled solutions. This role is primarily focused on Snowflake, Azure, Python and CI/CD, with some exposure to .NET/C# ...

across complex transformation programmes and directly with senior client stakeholders. The role will cover: • End-to-end data architecture across ingestion, processing, storage and analytics • Modern data platforms including Snowflake and Microsoft Fabric • Data engineering, ETL and scalable data pipelines • Conceptual, logical and physical data modelling • Cloud data architecture ...

that support efficient data processing, integrations, reporting and AI model deployment and execution. Data modelling: Design and develop data models that support business processes, analytics and reporting requirements. Ensure that data models are optimised for performance and scalability. Technology roadmaps: Actively engage with technology providers to understand critical, data relevant … maintain enterprise and domain data models Shape data products, contracts, and interoperability patterns Guide data platform usage (e.g. DWH/EDWH/Fabric/analytics layers) Ensure that integration points adhere to strict data protection standards across multi-geo environments. Implement frameworks for data lineage, data cataloging, and automated observability ...

expanding its Data and Artificial Intelligence capabilities. The Data and AI studio supports the Tax and Legal business in researching, building, and delivering analytics and AI-driven solutions to our clients. The team has grown rapidly over the last three years in both size and breadth of services. We need … initial build through to model maintenance, avoiding performance drift over time.Perform constant tracking of performancesClearly and confidently articulate the value and benefits of delivering analytics projects to clientsWorking closely with Tax and Legal SMEs to build a deep understanding of business/client challenges and in the development of Proof ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

experience with data integration and ETL tools (e.g., Azure Data Factory, Azure Databricks). Experience with data warehousing concepts and technologies (e.g., Azure Synapse Analytics, Azure Data Lake Storage). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) is a plus. Knowledge of data governance and data security ...

Understanding of data governance, security, and access control on AWS Experience with CI/CD for data pipelines Nice to have AWS certification (Data Analytics Specialty or Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools ...

product teams, and engineers, the Tech Lead will translate complex business requirements into scalable, high-performance data solutions that support critical business operations and analytics capabilities. This role requires deep hands-on expertise in Azure Databricks, Structured Streaming, Delta Live Tables (DLT), PySpark, Python, and SQL, alongside strong stakeholder management ...

Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need to have: Key Competencies Proven experience in data engineering and pipeline development on Databricks and cloud-native ...

risk within the organisation, leveraging data to highlight areas for improvement and efficiency.Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains ...

maintain robust, scalable, and reliable ETL/ELT data pipelines . Develop data models and schemas in our data warehouse to support business analytics and reporting needs. Integrate data from a variety of sources, including third-party APIs, internal databases, and streaming platforms. Implement processes and systems to monitor data ...

tools such as Azure DevOps or Jira. Professional certifications in Business Analysis, Project Management, or Microsoft Dynamics 365. Working knowledge of reporting and analytics tools such as Power BI and SQL. Key Attributes Highly organised, with the ability to manage multiple priorities in a dynamic environment. Pragmatic and outcomes‐focused ...

risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Harvesting and ingesting structured and unstructured data in different formats and standards Integrating ...