1 to 25 of 1,984 Permanent Analytics Jobs in London

is personal to all of us.” – Julie Sweet, Accenture CEO Imagine being part of team that helps transform leading organizations and communities around the world! You will have marketing analytics or web analytics background and will be comfortable using data to help advise clients on website design, user journey analysis, media advisory and digital strategy. During client projects you will … promoting a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions as well as supporting Accenture to evolve its digital analytics offering. Responsibilities: Set strategic vision for digital analytics in-line with broader client landscapes, e.g. marketing, technology, data etc. Establish our client’s measurement strategies for their digital assets, including … web and app. Audit and define digital analytics tagging implementations with the ability to work with both business and technical stakeholders to ensure that tracking requirements are captured and implemented accurately. Define dataLayer structures and other key requirements for digital analytics purposes Analyze website traffic, user engagement, and conversion rates to identify opportunities for optimization. Create dashboards and reports to More ❯

is personal to all of us.” – Julie Sweet, Accenture CEO Imagine being part of team that helps transform leading organizations and communities around the world! You will have marketing analytics or web analytics background and will be comfortable using data to help advise clients on website design, user journey analysis, media advisory and digital strategy. During client projects you will … promoting a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions as well as supporting Accenture to evolve its digital analytics offering. Responsibilities: Set strategic vision for digital analytics in-line with broader client landscapes, e.g. marketing, technology, data etc. Establish our client’s measurement strategies for their digital assets, including … web and app. Audit and define digital analytics tagging implementations with the ability to work with both business and technical stakeholders to ensure that tracking requirements are captured and implemented accurately. Define dataLayer structures and other key requirements for digital analytics purposes Analyze website traffic, user engagement, and conversion rates to identify opportunities for optimization. Create dashboards and reports to More ❯

Overview This is a unique opportunity to join the Data & Analytics Division of The London Stock Exchange Group as the Transformation Portfolio Director for Analytics. The role reports directly to the Head of D&A Transformation within the Chief Operating Office and serves the D&A Analytics business. Analytics provides market-leading cross-asset analytics models, software and Generative AI … areas of the Group and plays a central role in LSEG's flagship and industry-leading partnership with Microsoft. The successful candidate will partner with the Group Head of Analytics and the CIO Analytics to define and deliver the investment portfolio for Analytics with an annual investment budget of £30m+. He/she will play a central role in investment … and timely delivery of programme outcomes within the Group's Change Framework. The role will directly manage a team of around 5 FTE. Responsibilities Partner with Group Head of Analytics and Analytics CIO to translate the Analytics product strategy into an associated Transformation roadmap, programme and architecture blueprint Lead the investment planning process for Analytics, developing and maintaining initiative business More ❯

Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the worlds leading job-tech platform. Job Description The role of Product Analytics Manager in our company is at the intersection of several disciplines: Product Analytics, Insights Analytics, Data Engineering and Data Science. Your teams projects will cover a broad range of topics … insights and sometimes building predictive models, ultimately helping our Product organisation deliver great products, which solve meaningful user problems. You and your team are part of a larger Product Analytics group, and will be working closely with Product Directors, Heads of Product, Data Engineers, Data Scientists and many other stakeholders to ensure we take data-driven product decisions at every … their potential and progress on their chosen career paths. What your day will look like: Orchestrate the scope, prioritization, and distribution of resources in your team across the many analytics projects. Manage the delivery process and set expectations with stakeholders for transparent and aligned project outcomes and timelines. Champion our 'always testing' culture, designing and developing experiments. Lead and drive More ❯

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

Lake, and Microsoft Fabric. The Role As Senior Data Engineer, you will: Lead the design, build, and optimisation of Azure Data Factory (ADF) ETL pipelines . Develop scalable Synapse Analytics data models and performance-optimised SQL workloads. Own and enhance Power BI datasets, semantic models, and reporting standards (major focus). Shape cloud data architecture across Azure Data Lake and More ❯

Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries More ❯

Science, and Engineering or Data Governance. Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

analysis and modelling (mandatory) Data visualisation Power BI and/or Looker Studio for creating dynamic dashboards and reports in context of marketing KPIs (mandatory) Forecasting, modelling and predictive analytics (highly desirable) Predictive/statistical modelling Time series analysis Forecasting marketing metrics such as response, conversion and churn rate using historical campaign data Data-driven business casing and budgeting Marketing … stakeholders Ability to manage multiple projects and comfortable with context switching Understand and deliver service to internal customers and external clients Experience Strong experience in a data analysis, marketing analytics, or performance measurement role, ideally in a marketing or digital agency (mandatory) Experience building forecasts and KPI frameworks specifically tied to marketing campaign performance (highly desirable) Experience setting up performance … tracking tools (mandatory) Experience in training and supporting junior team members (highly desirable) Qualifications Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used More ❯

London) I am looking for a Senior Data engineer to join an incredibly interesting Insurance Underwriter/MGA. Within this role you will be working closely with the Data analytics team focusing on ETL processes, creating roadmaps for their central data warehouse and working with stakeholders to gather requirements. Technical Skills Languages: Python, SQL Databases: Microsoft SQL Server (Azure SQL More ❯

company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who More ❯

company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who More ❯

or global organisation. Strong expertise in the Azure data ecosystem, including: Azure Data Lake/Data Lakehouse Azure Data Factory/Synapse Pipelines Databricks Azure SQL Database or Synapse Analytics Solid understanding of data warehousing principles, ETL/ELT design, and data modelling Experience with CI/CD Familiarity with data quality frameworks and data governance. Strong SQL and Python More ❯

Data Services function. Contribute to architectural decisions as part of the organisation's Technical Design Authority . About You 10-15 years' experience in Data Engineering , Business Intelligence , or Analytics roles. 2+ years in a lead or management position. Financial services experience is essential , ideally covering lending, servicing, or securitisation data. Deep technical expertise in Microsoft and Azure data technologies. More ❯

designing, implementing, and optimising large-scale data processing systems. You will work closely with clients, data scientists, and solution architects to ensure efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and More ❯

designing, implementing, and optimising large-scale data processing systems. You will work closely with clients, data scientists, and solution architects to ensure efficient data pipelines, reliable infrastructure, and scalable analytics capabilities. This role requires strong technical expertise, problem-solving skills, and the ability to work in a dynamic, client-facing environment. Your Impact: Develop, implement, and optimise data pipelines and More ❯

and implement scalable, secure, and high-performing customer data architectures. You will work with cross-functional teams to define data strategies, architect solutions, and enable data readiness for AI, analytics, and customer engagement platforms. This role sits within Accenture’s Data & AI practice, delivering end-to-end solutions from data strategy to core engineering. Key Responsibilities Architect modern customer data More ❯

enterprise cloud systems - Anaplan, DealCloud, Workiva, Alteryx or Microsoft 365 Basic familiarity with technologies that underpin an enterprise data platform built using Microsoft Azure technologies (Azure Data Lake, Synapse Analytics, Data Factory, Purview, Power BI) Awareness or experience with Generative AI, Agentic AI, or automation technologies (eg, ChatGPT, Microsoft Copilot, AI workflow tools) Prior experience in Investment Management (ideally Private More ❯

enterprise cloud systems - Anaplan, DealCloud, Workiva, Alteryx or Microsoft 365 Basic familiarity with technologies that underpin an enterprise data platform built using Microsoft Azure technologies (Azure Data Lake, Synapse Analytics, Data Factory, Purview, Power BI) Awareness or experience with Generative AI, Agentic AI, or automation technologies (eg, ChatGPT, Microsoft Copilot, AI workflow tools) Prior experience in Investment Management (ideally Private More ❯

a related field. Doctorate in a quantitative field such as Statistics, Computer Science, Mathematics, or Engineering. A "full stack" data scientist - with extensive expertise of data engineering, analysis and analytics, as well as machine learning. 6+ years of experience working in Data Science, preferably within a Software organization. Experience with financial fraud detection and prevention is a major advantage. Advanced More ❯

of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and More ❯

of our product offerings Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models Design intuitive visualisations to communicate findings and insights to clients, technical and More ❯

delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join the Customer Analytics function … per day (Inside IR35) . DOE Hybrid working – 2 days per week in office. Work on customer growth and loyalty initiatives with measurable business impact. Opportunity to shape analytics within a global data-driven organisation . HOW TO APPLY: Please register your interest by sending your CV to Atif Ahmad via the Apply link on this page. Interview process: SQL … test followed by a competency-based interview. Desired Skills and Experience Customer Analytics, Loyalty Analytics , Retention Strategy, Customer Segmentation, Churn Analysis SQL Looker Power BI Tableau Data Visualisation CRM Analytics Marketing Analytics Stakeholder Management Customer Insights Data Storytelling Mid-level to Senior Analyst (typically 3-6 years) Background in eCommerce, marketplace, subscription or digital marketing environments Experience collaborating with CRM More ❯