1 to 25 of 6,377 Analytics Jobs in London

About the Role: Grade Level (for internal use): 11 Summary Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library … Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud, or can be run as a service so we free up internal resources to focus on business priorities. Financial Risk ...

currently seeking an experienced Lead Data Analyst/Data Product Lead to join a growing data and technology consulting practice, delivering high-impact analytics, reporting, and data transformation solutions across a diverse range of public and private sector clients. This role is ideal for a senior data professional who combines … across complex transformation programmes. Own analytical roadmaps and delivery plans within broader data platform and modernisation initiatives. Manage, mentor, and develop teams of analysts, analytics engineers, and data engineers. Establish best practices for requirements gathering, documentation, testing, governance, code quality, peer reviews, and release management. Facilitate workshops to capture business ...

looking for a Senior Enterprise Tech Engineer to establish and lead the Data Engineering squad within our global data team, supporting the Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity. You will play a pivotal role in building and leading a high-performing ...

transformations by tracking initiative progress, performance, budgets, timelines, and impact on longer-term goals. Its Transformatics team builds data and AI products that provide analytics insights for clients and McKinsey teams involved in transformation programs globally. Задачи Design, build, and optimize scalable data solutions for analytics, reporting, and machine learning … Build next-generation cloud-based data platforms for rapid business data access and emerging technology incubation Design and develop scalable, reusable data products for analytics, reporting, and machine learning pipelines Implement query tuning, indexing, partitioning, and caching strategies in platforms such as Snowflake and Databricks Collaborate with data scientists, engineers ...

Liberty Wines is transforming its data estate, migrating from on-premises platforms to a modern cloud-based analytics environment while expanding its AI and machine learning capabilities. Working alongside an experienced data consultancy, we are building a greenfield analytics platform using technologies such as BigQuery, Snowflake, dbt, Looker and Omni. … Data & Analytics Engineer, you will play a pivotal role in shaping the platform from the ground up, working across data engineering, modelling, reporting and stakeholder enablement. This is a rare opportunity to influence technology choices, establish best practices, and help embed a data-driven culture across the business. What will ...

premises cost data is often incomplete, and creative problem‐solving is essential QUALIFICATIONS & EXPERIENCE 4–7 years in IT infrastructure, cost management, data analytics, or financial operations with at least 2 years focused on cost visibility or FinOps practices Hands‐on experience building cost dashboards and reports for multi‐stakeholder … optimisation in enterprise environments FinOps Certified Practitioner (FinOps.org) — required or willingness to certify within 6 months Bachelor’s degree in Computer Science, Data Analytics, Finance, or related field (or equivalent practical experience) DESIRABLE/NICE TO HAVE Experience with Apptio, ServiceNow ITFM, or Flexera One for cost management Background ...

premises cost data is often incomplete, and creative problem-solving is essential QUALIFICATIONS & EXPERIENCE 4–7 years in IT infrastructure, cost management, data analytics, or financial operations with at least 2 years focused on cost visibility or FinOps practices Hands-on experience building cost dashboards and reports for multi-stakeholder … optimisation in enterprise environments FinOps Certified Practitioner (FinOps.org) — required or willingness to certify within 6 months Bachelor’s degree in Computer Science, Data Analytics, Finance, or related field (or equivalent practical experience) DESIRABLE/NICE TO HAVE Experience with Apptio, ServiceNow ITFM, or Flexera One for cost management Background ...

diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager, Analytics & AI, EY-Parthenon EY-Parthenon is seeking a motivated Manager to join its Analytics & AI practice, supporting clients to unlock value from data through analytics, reporting … business decisions by transforming complex data into actionable insights. Working alongside experienced consultants, managers and senior leaders, you will design and deliver high-quality analytics solutions, develop meaningful business insights and communicate findings confidently to both technical and non-technical stakeholders. Key Responsibilities Client Delivery Lead day-to-day activities ...

diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager, Analytics & AI, EY-ParthenonEY-Parthenon is seeking a motivated Manager to join its Analytics & AI practice, supporting clients to unlock value from data through analytics, reporting … business decisions by transforming complex data into actionable insights. Working alongside experienced consultants, managers and senior leaders, you will design and deliver high-quality analytics solutions, develop meaningful business insights and communicate findings confidently to both technical and non-technical stakeholders. Key ResponsibilitiesClient DeliveryLead day-to-day activities throughout ...

Head of Data will focus of the Data strategy, governance & quality. You will Modernise the cloud data infrastructure, including Microsoft Fabric & Power BI Analytics, MI & self-service reporting. Building data literacy across the organisation. Head of Data Location: London - Hybrid Salary: £70,000-£96,000 per annum Contract: Permanent, Full … improve decision-making, customer understanding, operational performance and long-term growth Your Role - As Head of Data , you will lead the organisation's data, analytics, reporting and insight function. You will own and deliver the data strategy and roadmap, ensuring that data is collected, managed, governed and leveraged effectively ...

stops. Role Purpose: The Data and Reporting Engineer is primarily responsible for building, analysing, enhancing, and supporting best in class, business focused reporting and analytics, using Power BI and the wider Microsoft data platform to turn business questions and requirements into clear, trusted insight. They must have the ability … lead on the translation of business needs into clear reporting and analytics requirements that enable the design, build and deployment of Power BI solutions and general reporting alongside more standard Data Engineering activities. Working alongside the wider Data Engineering team, they will help shape, validate and consume the underlying pipelines ...

BestX's next-generation cloud-native data platform, leveraging Databricks, Snowflake, and modern data engineering technologies to support multi-asset Transaction Cost Analysis (TCA), analytics, and reporting capabilities. The ideal candidate combines strong data architecture expertise with a hands-on engineering mindset and a passion for evaluating emerging technologies. … through rapid prototyping, proof-of-concepts, and scalable production implementationsKey ResponsibilitiesDesign and develop the architecture for BestX's next-generation multi-asset TCA and analytics platformLead technology evaluations, proof-of-concepts, and rapid prototyping initiatives across modern data platforms and cloud-native technologiesArchitect and implement scalable data Lakehouse solutions using ...

Company DescriptionTalan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings … Multi-skilled experience in one or more of the following disciplines: Data Management, Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience ...

stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non‐technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data ...

Senior Data & Analytics Consultant Department: Project Delivery Employment Type: Permanent - Full Time Location: London Description In this role you will work in the Data & Analytics Consulting team, a client-facing function responsible for the technical configuration and deployment of the OneView platform. You’ll work directly with our clients … extraction Data science - Configure existing predictive models to meet the client’s needs, undertake technical scoping for new/iterated predictive models, apply descriptive analytics techniques to extract meaningful insight from client data, build proxy predictive models to demonstrate potential value early on. Cohort building - Build preventative cohorts, test ...

within multidisciplinary teams alongside clients, designers, analysts and engineers to deliver modern data solutions. You’ll help design and build data pipelines, models and analytics products, learning from experienced colleagues and applying best practices as you go. This is a hands‐on role where you’ll grow your technical skills … products using SQL, Python and modern data engineering tools. Work with data warehouses, lakehouse platforms and event‐driven patterns, including building semantic models for analytics and visualisation. Contribute to solutions built on cloud data and AI platforms (AWS/Azure), following sound software engineering, testing and CI/CD practices. ...

project delivery experience, helping shape the organisation's data strategy and ensuring its data platforms provide secure, reliable and scalable foundations for Business Intelligence, analytics and data-driven decision-making. What You'll Be Doing As the Azure Data Platform Manager, you'll take ownership of the Azure Data Platform … data pipelines and cloud-based data solutions. Azure Data Technologies: Azure Data Factory (ADF), Azure Databricks, Azure Data Lake (ADLS), Azure SQL, Azure Synapse Analytics and Azure PaaS. Data Engineering: data ingestion, ETL/ELT, transformation, integration, SQL, Python and/or PySpark. Platform Engineering: Azure DevOps, CI/ ...

Time Type: Full time Working Pattern: Hybrid Purpose of the Role Reporting to the Data Analytics Manager, the Senior Data Analyst is a hands‐on individual contributor who helps the team through its shift from platform delivery (post-EDP) toward value‐added analytics and commercial insight. The role contributes … building lasting data partnerships with the underwriting, claims and exposure management teams, so that analytics is embedded in day‐to‐day decision‐making rather than delivered as isolated reports. The role holder will apply and role‐model the technical standards the team works to peer review, version control, documentation, testing ...

Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics, machine learning, and emerging AI capabilities. As a Databricks Data & AI Engineer, you'll design, build and optimise scalable data & AI solutions using the Databricks Platform … enabling advanced analytics, machine learning, and AI. Working alongside leading architects, engineers, and AI specialists, you'll help clients modernise their data platforms and create the trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance data platforms, strong data ...

building and maintaining a robust digital data infrastructure. This position supports data users across the business, ensuring high‐quality data extraction, reporting, and analytics capabilities. Working closely with the IT Manager and various business units, you will help strengthen compliance and regulatory risk management through effective management information (MI) reporting … Coming from an IT support function is a bonus Data Analysis and Management Maintain and develop SSIS packages Perform ad-hoc data extraction and analytics based on requirements from business Develop data visualisation for business Work with business to enhance the data available to the data warehouse Assist in testing ...

design and maintain scalable data pipelines, transform and model data, and ensure our data architecture provides a reliable foundation for business intelligence, reporting and analytics across UPP. This is an exciting opportunity to work with cutting-edge cloud technologies while supporting a business that is investing heavily in data-driven … consistency through validation and monitoring processes. Design and maintain data models within Databricks and Azure SQL environments. Transform and prepare data for reporting, analytics and business intelligence. Support Power BI reporting and dashboard solutions alongside the BI team. Manage and optimise Azure and Databricks resources to ensure performance and cost ...

Field Strong Azure data skills, including: Azure Data Factory V2 Azure Data Lake Storage V2 Azure Databricks Azure Function Apps& Logic Apps Azure Stream Analytics Azure Resource Manager skills (Terraform, Azure Portal, Az CLI and Az PowerShell) Strong PySpark, Delta Lake, Unity Catalog and Python skills. Includes ability to write … YAML, etc.) Other languages, such as C#, PowerShell IaC, e.g. Terraform, ARM, Bicep, etc. Test driven development (TDD) Streaming technologies, such as Azure Stream Analytics, Spark Structured Streaming, etc. Power BI Engineering experience Certified SCRUM Developer (CSD) Data Governance tool experience e.g. Purview Machine learning and Artificial intelligence ...

testing data pipelines Building data transformations using Python/PySpark Azure Cloud Version control and CI/CD tools, specifically Azure DevOps Service Analytics and MI products including MS Power BI Data catalogue & governance using MS Purview Knowledge of the following would be desirable: Microsoft server-based data products ...

values shape the way we consult and define the people we want to join us on our journey. The Head of Data Engineering and Analytics The Head of Data Engineering and Analytics leads the engineering, analytics, and business intelligence capability that turns enterprise data strategy into reliable, scalable delivery. Reporting … Global Head of Data, the role is accountable for building and operating trusted data platforms, pipelines, models, and analytics products that support operational decision-making, client services, digital products, automation, and AI. The role combines technical leadership with strong business engagement, establishing common engineering standards, prioritising demand, and building ...

PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data … this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems ...