151 to 175 of 6,381 Analytics Jobs in London

Senior Data Engineer/Analyst role include (but are not limited to) the following: Data Engineering Manage existing data pipelines to support analytics and data processing needs. Design and implement new scalable and robust pipelines as required. Monitor, troubleshoot, and improve data pipeline performance. Ensure data quality and consistency. Assist … essential. Bachelor’s degree (or higher) in Computer Science, Data Science, Mathematics or a related field. 3+ years of experience in data engineering, data analytics, or a similar role. Reporting Lines This key role reports to the VP of Technology. Place of Work Office Based (Flexible working hours) in Victoria ...

applications for the position Commercial Analyst through September 28th at 11:59 p.m. We are seeking an experienced Distillates Commercial Analyst to join our Analytics & Market Intelligence team within Supply & Trading, embedded directly with the trading desk inLondon. This role serves as the analytical backbone of the distillates book—responsible … market intelligence, commercial decision support, and strategic analytics across distillate markets globally. The ideal candidate combines deep distillates marketexpertisewith strong quantitative skills and the ability to translate complex data into actionable trading insights. Responsibilities may include but are not limited to: A. Market Intelligence & Fundamentals Develop and maintain supply/ ...

will work closely with customers, delivery teams, and internal stakeholders to understand business requirements, define data architectures, and support the successful delivery of analytics and data platform solutions. This role is suited to someone with a solid background in data engineering or data solution design who is ready to take … documentation, solution designs, and data models Design secure, scalable, resilient, and supportable data platforms and solutions Define patterns for data integration, transformation, storage, and analytics Support the design of lakehouse, warehouse, and reporting solutions using Azure-based services Ensure data quality, lineage, governance, and security are incorporated into solution design ...

description Connect to your Industry Our Audit and Assurance practice encompasses skills across regulation and finance with a deep analytics capability. We harness these to provide Assurance to those charged with governance, serving the public interest. Working in Assurance means you will have an opportunity to work alongside leading experts … appetite for risk. Deloitte's assurance offerings help those charged with governance to understand their business and build trust amongst key stakeholders and regulators. Analytics and Data Science High quality and transparent reporting on data use and compliance of data handling is critical for both regulatory compliance and for rebuilding ...

client is an innovative, fast-growing technology company operating across data, cloud, and machine learning. It builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across fintech, healthcare, and digital services. Задачи Design and build SQL databases from scratch for scalability, reliability, and performance Optimise … improve query performance and efficiency Architect, implement, and manage cloud-based databases and data solutions in Azure Develop and maintain data pipelines for analytics and machine learning workloads Collaborate with data scientists to prepare and structure data for ML modelling Contribute to Python-based machine learning models and data processing ...

DIRECT REPORTSTwoMAIN PURPOSE OF THE ROLE The Lead Data Virtualisation Engineer in MUFG will lead the design, deployment, and adoption of the Starburst data analytics platform for the organization's first implementation. This role requires deep technical experience in distributed SQL engines, data lakes, along with the ability to guide … data from multiple sources - connecting to underlying systems to enable both agentic AI and users to access and integrate data as needed for analytics, reporting, and business intelligence. This implementation includes a significant research and development component, with close collaboration alongside the vendor to refine and evolve the product ...

audits, including scoping, execution oversight, quality assurance, and deliverable sign-off. + Ensure alignment with internal methodology, expectations, and reporting quality standards.* **Enhance Data Analytics and Audit Methodology** + Lead the application of data analytics in audit planning and execution, leveraging large datasets to drive insight and risk identification. + … environments (e.g. cloud, APIs, data platforms). + Ability to assess complex IT architectures and articulate risks in a clear, business-relevant manner.* **Data Analytics & Digital Capability** + Advanced data analytics skills (e.g. Python, SQL, Power BI, Alteryx or equivalent), with practical application in audit delivery. + Ability to interrogate ...

Implement, run and monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/silver/gold-style data architecture Work closely with analysts, software engineers, and business users using Sigma to ensure … skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema, facts/dimensions) and how schema changes affect downstream users Exposure to layered data architectures (e.g. bronze/silver/gold) and basic data ...

reshape how people interact with brands, data and AI is a key part of everything we do. We are committed to leveraging advanced analytics, automation and emerging AI technologies to create more personalised, efficient, and measurable marketing outcomes. The Department The Digital Marketing team forms part of the Business Development … reshape how people interact with brands, data and AI is a key part of everything we do. We are committed to leveraging advanced analytics, automation and emerging AI technologies to create more personalised, efficient, and measurable marketing outcomes. This role will play a key part in accelerating our data-driven ...

Title: FinOps Consultant Job Description The FinOps Consultant operates in the data and analytics space that underpins cloud cost transparency, allocation, forecasting and optimisation. This is a hands-on role, working at the intersection of data engineering, financial analysis and cloud economics. You will analyse billing, usage and telemetry data … exports and BigQuery billing exports. Develop proofs of concept for business intelligence dashboards and self-service reporting that provide ongoing cost transparency, metrics and analytics to business, technology and finance stakeholders. Identify, quantify and prioritise cost optimisation opportunities such as rightsizing, commitment coverage, idle and orphaned resources, storage lifecycle, data ...

annumIndustry: EngineeringOverview We are seeking a Lead Data Engineer to design, build and own scalable data platforms that enable high-quality analytics, reporting and data-driven products. You will provide technical leadership across the data engineering function, set standards for reliability and governance, and partner with stakeholders to deliver trusted … alerting for data workflows; manage SLAs and incident response. Drive data governance: lineage, catalogue, access controls, retention policies and GDPR-aligned practices. Collaborate with analytics, software and platform teams to deliver reusable data products and APIs. Mentor engineers, conduct code reviews, and contribute to hiring and capability development. Required Skills ...

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. ...

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 ...

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 … 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 ...

dashboards to remove or consolidate content that is duplicated or no longer needed and support the controlled use of ServiceNow data by reporting and analytics platforms such as Power BI or Microsoft Fabric, keeping definitions, ownership and quality controls consistent when data is shared or extracted. Support the data quality … data models, data relationships, data ownership, authoritative sources and data-quality management. Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool. Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset and Service Level Management. Experience considering ...

query, and manage their data with efficiency and ease. You will work closely with people from a wide variety of domains: Product Data Scientists, Analytics Engineers, ML Engineers, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems … modern tooling such as Kafka, Terraform, Docker, and cloud‐native patterns Lead technical initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product mindset Uphold operational excellence: building scalable services ...

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 ...

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 & Experience**10+ years in data engineering, data warehousing, analytics or similar roles.Strong expertise in Snowflake architecture and AWS cloud services (incl ...

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 ...

architectures (Azure & AWS).* AI & Machine Learning Exposure: Experience designing architectures that support AI/ML workloads, including integrating Large Language Models (LLMs), predictive analytics, and vector search into enterprise applications.* Enterprise Governance & Security: Deep understanding of security architecture, secure SDLC practices, data privacy, and compliance requirements typical … Environment**You will be architecting solutions within a broadly evolving and heterogeneous technology landscape, notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory ...

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 ...