51 to 75 of 775 Analytics Jobs in Central London

About the Role The Data Engineer plays a key role in shaping and delivering Global Switch’s modern data platform, enabling insights and analytics across a global data centre organisation. Reporting to the Head of Data, this role is central to the development and optimisation of scalable data pipelines and solutions within Microsoft Fabric, supporting the company’s transformation into … troubleshoot data pipelines to ensure efficient data flow. Contribute to the development of data engineering best practices and standards. Shape and maintain cloud-native data assets to support advanced analytics and AI initiatives. Key Requirements Proven experience as a Data Engineer with a strong grasp of data engineering principles and lifecycle. Proficiency in Python, SQL, Spark, and modern data engineering More ❯

new business opportunities across GB and Europe. This role requires a strategic thinker with deep expertise in financial crime prevention, compliance frameworks, and regulatory requirements. You will leverage advanced analytics and AI technologies to craft high-impact, compliance-driven solutions tailored to the Banking, Capital Markets (BCM), and Insurance sectors. Key Responsibilities: Strategic Development: Develop and execute a go-to … Services, targeting large Tier 1 banks, insurance organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. Use Case Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud More ❯

/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk More ❯

The ideal candidate will have knowledge of the Business Services provided by the Bank as well as the many facets of Data pertaining to data management, data quality, data analytics, and data visualisation. The role will require working with stakeholders across all functions to ensure fit-for-purpose data, as we look to leverage best practice across the industry. As More ❯

Compliance Data Domain of the EMEA Data Governance Team. The ideal candidate will have knowledge of the many facets of Data Governance pertaining to data cataloguing, data quality, data analytics, and data visualisation in addition to a strong understanding of Banking business functions, namely Compliance. As the concepts of Data Governance are relatively new to the organisation, the role also More ❯

CFT) Sanctions, Transaction Monitoring and Fraud process within SMBC. The ideal candidate will have knowledge of the many facets of Data Governance pertaining to data cataloguing, data quality, data analytics, and data visualisation. The role will require working with stakeholders across all functions to ensure fit-for-purpose data, as we look to leverage best practice across the industry. As More ❯

technology platform that leverages data to drive innovation, decision-making, and automation, ultimately providing a more cost-efficient service for our customers. Role Overview The Director of Data Science & Analytics will lead the data-driven transformation of the business, overseeing the strategy, governance, and execution of all data science and analytics initiatives. Reporting to the executive team, you will ensure … data is leveraged to drive business growth, improve customer experience, and enable operational excellence across the organisation. Key Responsibilities Develop and execute a comprehensive data science and analytics strategy aligned with business goals. Build and lead a high-performing team of data scientists, analysts, and data engineers, fostering a culture of innovation and continuous learning. Oversee the end-to-end … delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation. Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all data assets. Collaborate with C-suite and business leaders to identify high-impact opportunities for data-driven decision making and process optimisation. Drive the development and deployment More ❯

ours are looking for a Senior Data Analyst to join their growing data function. They're looking for a Power BI SME who has a real passion for driving analytics and insights. They have a stack of Snowflake, dbt, Python & Power BI. They're looking for someone who has end-to-end analytics experience and a genuine drive for data … analytics and the impact it has on business performance. In this role you'll work cross-functionally across the entire c.1500 employee organisation. Expirience working in operations would also be favourable. They're looking for: highly analytical with a business mindset to improve business performance. Have excellent communication skills with a consultative approach and a strong interest in influencing stakeholders. … normalisation, SQL, or Python). Desirable: Experience working in a Data warehouse, or lake environments e.g. Snowflake, Redshift, DataBricks, and ELT and data pipelines e.g. dbt Familiar with predictive analytics techniques Please apply if this sounds like you More ❯

Digital Analyst, Perm, up to £65k, London, Hybrid My client is looking for a Digital Analyst to join a growing data and analytics function within a well-established, global business. You’ll play a key role in shaping and delivering the digital insight strategy - working across large datasets (GA4, BigQuery, SQL), customer journey analytics, and data visualisation to create dashboards … stakeholders to understand insight needs and propose elegant, scalable solutions. Drive web tagging and tracking strategy alongside digital and marketing teams. Consolidate and streamline existing reports into a unified analytics suite. Extract, analyse and interpret complex datasets to identify trends, patterns, and opportunities. Ideal Digital Analyst experience 5+ years of experience in BI/analytics roles with a focus on … digital insight. Advanced use of Power BI , Google Analytics (GA4) , and either SQL or Python . Strong understanding of client journey mapping , web tracking , and user behaviour . Proven track record of creating reusable, enterprise-grade dashboards using UX/UI best practices. Excellent stakeholder engagement skills – comfortable working across departments to influence data-driven decisions. Experience working within Agile More ❯

Data Visualisation Analyst - Google Analytics (GA4) My client is seeking a BI Analyst to strengthen and advance the production of dashboards and reporting capabilities within the Business Intelligence function. Key Responsibilities: Collaborate with the business to understand digital product insights needs and propose solutions. Develop engaging and interactive data visualization dashboards. Conduct in-depth data discovery and analysis on complex … and consolidate existing reports into manageable dashboards. Advise other business areas on best practices for data analysis, insights, and visualization. Required Experience: 5+ years in a comparable BI/Analytics role. Strong experience with Google Analytics and Microsoft products. Proven ability to create reusable data visualization dashboards at an enterprise level. Ability to identify patterns and insights in large, complex … multiple sources for model building or analytics. Demonstrable use of UX/UI principles in data visualizations. Proficiency in writing clean, effective, and reusable code. Required Technical Skills: Google Analytics (GA4) Power BI Advanced skills in SQL or Python In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having More ❯

and consolidate existing reports into manageable dashboards. Advise other business areas on best practices for data analysis, insights, and visualization. Required Experience: 5+ years in a comparable BI/Analytics role. Strong experience with Google Analytics and Microsoft products. Proven ability to create reusable data visualization dashboards at an enterprise level. Ability to identify patterns and insights in large, complex … for model building or analytics. Demonstrable use of UX/UI principles in data visualizations. Proficiency in writing clean, effective, and reusable code. Required Technical Skills: Power BI Google Analytics (GA4) Advanced skills in SQL or Python More ❯

on driving business growth through data-driven insights and leveraging AI solutions. This role is ideal for a strategic technical leader who combines deep technical expertise in data science, analytics, and machine learning with proven commercial experience and business development capabilities. The ideal candidate will drive revenue growth across our target markets, identifying new opportunities, expanding client relationships, and delivering … strategies. Lead client presentations, proposal development, and commercial negotiations for data science projects. Manage key client relationships and ensure delivery of high-impact, commercially viable data science solutions. Strategic Analytics & Decision Support: Lead the development of data science solutions that directly impact business outcomes, revenue generation, and strategic decision-making. Provide strategic advisory services on data monetisation, analytics strategy, and … competitive intelligence. Oversee the design and implementation of commercial analytics platforms, customer segmentation models, and revenue optimisation algorithms. Business Leadership & Team Development: Lead cross-functional teams combining data scientists, data engineers, and domain experts. Drive a culture of commercial awareness and business impact within the data science team. Collaborate closely with other pillars to identify and capitalise on commercial opportunities. More ❯

the business, this role offers a rare opportunity to directly influence underwriting profitability, automation, and digital product innovation. The successful candidate will join a newly established data science and analytics team, working on high-impact projects focused on Digital Lead and Follow underwriting. Key Responsibilities: Deliver data science and AI solutions to automate processes and drive profitability in digital underwriting … portfolio optimisation through collaboration with actuarial teams Develop dashboards, reporting tools, and data visualisations to generate actionable insights Define and prioritise data requirements with stakeholders across IT, underwriting, and analytics Play a key role in building data capabilities in support of digital trading strategies Key Requirements: 2+ years' experience in data science, actuarial, or analytics roles (insurance/Lloyd’s More ❯

about using data and user insights to shape innovative digital products. You will work closely with cross-functional teams to ensure products meet user needs and strategic goals through analytics, research, and collaboration. Responsibilities Data Analysis : Collect and interpret complex data from user interactions, surveys, and logs using tools such as Excel, SQL, and PowerBI. Create visualisations and reports to … and execution align with user and business needs. Skills & Experience Experience in a product analyst role with direct user support and stakeholder engagement. Strong proficiency with data visualisation and analytics tools (e.g. PowerBI, Excel, SQL). Experience conducting user research and delivering actionable insights. Familiarity with Agile project delivery and documentation (user stories, acceptance criteria). Working knowledge of industry … analytics tools and AI/machine learning applications such as Microsoft CoPilot or generative AI (desirable). Strong communication skills with the ability to explain complex concepts in non-technical terms. PRINCE2 Foundation (desirable). Proven ability to deliver excellent customer service and provide user training. More ❯

ready to make an impact at a global scale? We’re looking for a hands-on, business-facing Data Platforms & Insights Lead to drive the development and delivery of analytics and reporting capabilities across a high-profile media organisation. In this role, you’ll take ownership of data platforms, reporting tools, and insight generation—translating business needs into powerful dashboards … value. You'll also provide leadership to data engineers and analysts, ensuring work aligns with business priorities and delivers measurable impact. What You’ll Bring Strong experience in data analytics, data modelling, and reporting delivery. Proficiency in SQL and data preparation tools (Python or similar). Expertise in visualisation platforms such as Tableau or Looker Studio . Ability to integrate … product, engineering, and business teams. Strong communication skills with the ability to simplify complex data for non-technical audiences. Track record of driving adoption of data tools and embedding analytics into business processes. Agile, delivery-focused mindset with the ability to prioritise and manage multiple workstreams. Leadership experience, including line management and mentoring of data professionals. Technical Requirements Essential: SQL More ❯

exciting opportunity has arisen for an Data Analyst to play a key role within their shared service IT function, responsible for leveraging the ServiceNow platform and its ServiceNow Performance Analytics and ServiceNow Reporting modules to analyze the company's IT service management data and design meaningful reporting to support IT service reviews and continuous service improvement. The ideal candidate should … have a background in Data Analysis, Service Reviews, Reporting, and Analytics, ideally with ServiceNow and PowerBI experience, who can put together robust dashboards and actionable insights for effective stakeholder collaboration globally. Responsibilities ServiceNow reporting, IT Service Review collation/preparation & detailed tracking of continuous service Improvements across global office locations. Lead regular IT service performance reviews with internal and external … OLA performance reporting within ServiceNow. Support the definition and implementation of corrective and preventive actions (CAPA) based on insights. Develop and manage automated and custom reports from ServiceNow Performance Analytics, ServiceNow Reporting, and other BI platforms (e.g., Power BI) Create real-time dashboards to monitor IT service health, compliance, and operational KPIs. Use data analysis to identify systemic issues, gaps More ❯

Time Salary - £70-80K per annum Our client, a scaling FinTech are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that empower analytics, reporting, and self-service across the business. Key Responsibilities Build and maintain robust ELT pipelines and cloud-based data warehouses (e.g., AWS Redshift) Model curated data layers to support analytics More ❯

PRODUCT ANALYST – LONDON UP TO £90,000 THE COMPANY We’re partnering with a fast-scaling subscription-based business to help them make a key hire within their Product Analytics team. THE ROLE As Lead Product Analyst, you will play a critical role in driving product strategy through data. Your responsibilities will include: Leading the design, implementation, and analysis of … maintaining dashboards and reporting tools to provide real-time visibility into product performance YOUR SKILLS AND EXPERIENCE The ideal Lead Product Analyst will bring: Significant experience in a product analytics role, with deep expertise in A/B testing and experimentation Advanced SQL skills and a strong ability to query and manipulate complex datasets Familiarity with data visualisation tools such More ❯

Job Description: Are you passionate about Data and Analytics (D&A) and excited about how it can completely transform the way an enterprise works? Do you have the strategic vision, technical expertise, and leadership skills to drive data-driven solutions? Do you want to work in a dynamic, fast-growing category? If so, you might be the ideal candidate for … the role in the Data and Analytics function for Global Pet Nutrition (PN) at Mars. Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program, Digital First, has been mobilized by the Mars Pet Nutrition (PN) leadership team. Digital First places pet parents at the center of … significant thought leadership, quality decision making, deep technical know-how, and an ability to navigate complex business challenges while building and leading a team of world class data and analytics leaders. With Digital First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data More ❯

optimising their data systems. This role will focus on SQL database application development, utilising Google BigQuery as the new platform for data management, and supporting the development of data analytics and visualisation tools such as PowerBI. The Data Engineer will be responsible for ensuring seamless data ingestion, transformation, and reporting, as well as working with key stakeholders to provide timely … systems. Building tools to minimize errors and improve customer experience. Automating data development and governance to improve data health. Designing procedures for system troubleshooting, capacity management, and scaling infrastructure. Analytics : Developing scripts and data outputs to automate reporting and visualizations. Ensuring timely and easily translatable data delivery for business stakeholders. Supporting customer segmentation and data clustering for insights into customer More ❯

My FTSE 100 Client is urgently recruiting for a Data Solutions Architect, the chosen Candidate will be at the forefront of shaping end-to-end data architectures that support analytics, AI, and enterprise reporting across the organisation. You will lead solution design, champion best practices, and work closely with business and technical stakeholders to deliver robust, scalable, and secure data … Responsibilities Design and implement modern data architectures using Azure Synapse , Data Lake , Data Factory , Databricks , and Microsoft Fabric . Lead the development of integrated data solutions supporting BI, advanced analytics, and real-time data processing. Define data governance, security, and compliance standards across the data lifecycle. Collaborate with cross-functional teams to translate business requirements into technical blueprints. Stay ahead More ❯

Automation, Campaign Management 10+ years of marketing automation platforms (e.g. Adobe Experience suite, Marketo, Salesforce Marketing Cloud) and customer relationship management (CRM) systems. 10+ years of experience with data analytics tools (e.g., Google Analytics, Tableau) and leveraging data to drive decisions. Expertise in consumer experience design, with a deep understanding of user journeys, personalization, and omnichannel marketing. Experience with AI … other Europe markets Job Description & Key Responsibilities Strategic Planning: Develop and implement comprehensive marketing and consumer experience strategies that incorporate advanced technologies, including automation, AI, CRM platforms, and data analytics tools, to deliver seamless customer journeys across all touchpoints. Consumer Experience Design: Collaborate with cross-functional teams to design and optimize customer experiences, ensuring they are personalized, engaging, and responsive … to consumer needs, preferences, and behaviors. Technology Integration: Lead the adoption and integration of marketing technology solutions (such as marketing automation, customer data platforms, and AI-driven analytics) to improve campaign effectiveness, engagement, and ROI. Data-Driven Decision Making: Utilize data analytics and insights to inform marketing strategies and decisions, ensuring initiatives are optimized for performance and customer satisfaction. Provide More ❯

Lead architectural discussions and design sessions with stakeholders, ensuring solutions align with NHS requirements and best practices. Develop end-to-end data solutions leveraging Azure services, including Azure Synapse Analytics, Azure Data Factory, Databricks, and Azure SQL. Define data models, integration patterns, and governance frameworks to ensure efficient data management, interoperability, and compliance. Drive cloud migration strategies for NHS data … and design authority forums. Key Skills & Experience: Proven experience in architecting Azure data solutions, particularly in NHS or healthcare settings. Expertise in Azure Data Services, such as: Azure Synapse Analytics Azure Data Factory Azure Databricks Azure SQL & Cosmos DB Azure Purview (for Data Governance) Azure Blob Storage & Data Lake Azure Event Hubs & Streaming Analytics Hands-on experience with data integration … management skills, with the ability to liaise between clinicians, vendors, and technical teams. Desirable: Experience with hybrid data solutions, integrating on-premise and cloud data architectures. Background in data analytics, machine learning, and AI-driven insights for healthcare applications. Knowledge of NHS Digital initiatives, including Shared Care Records, the NHS App, and Population Health projects. Certifications in Azure Data Architecture More ❯

My client is based in the London area and is currently looking to recruit an experienced Fabric Analytics Engineer to join their team. They are one of the leaders within the Insurance space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge … utilise the most in-demand and cutting-edge technology on the market right now. Your role will include: Collaborate closely with stakeholders to understand and interpret their data and analytics needs. Design and deploy end-to-end data solutions using Microsoft Fabric, encompassing data ingestion, transformation, and visualisation workflows. Construct and refine data models, pipelines, and ETL frameworks within the More ❯

build self-serve dashboards that inform smarter decisions allowing teams to remain agile. Build and refine insight-led models that support activities such as forecasting, segmentation, retention, predictive visit analytics, and guest lifetime value analysis. ✅ Must have requirements: Strong proficiency in SQL Min. 4-5 years' experience in analytics, with a strong focus on customer insight, commercial impact and stakeholder More ❯