1 to 25 of 360 Analytics Jobs in Central London

ANALYTICS MANAGER £45,000–£55,000 HYBRID – LONDON (3 DAYS A WEEK) Please note, this company is unable to offer sponsorship at this time and you must be a UK resident. THE COMPANY This fast-paced digital agency works with some of the most exciting names in Hospitality, Travel, Food & Drink, and Entertainment. With a culture built around creativity, collaboration … friendly, vibrant office in Angel, complete with regular socials, snacks, and a strong sense of team. THE ROLE This is a lead role within the Performance team, owning the analytics function across a range of digital clients. You’ll work closely with specialists in SEO, paid media, CRO, and CRM to deliver clear, actionable insights that drive business decisions. You … ll manage tracking plans, set up GTM containers, and ensure analytics data is accurate and accessible across dashboards and platforms. You’ll also collaborate directly with clients, presenting insights and leading analytics discussions with confidence. There’s one offshore analytics specialist reporting into this role, and you’ll have plenty of support from senior stakeholders – but this is your chance More ❯

and improve user experience. A recent graduate or have 1-2 years of experience in a data or analytical role. Experience in Excel or Google Sheets. Experience of Digital Analytics tools e.g. Google Analytics, Adobe Analytics, Chartbeat. Exposure to BI platforms e.g. Domo, Tableau, Looker, Power BI. A curious, inquisitive mindset with a passion for learning and continuous improvement. Strong … reports to share insights with internal teams Learn to write and run SQL queries to support data exploration and reporting. Contribute to team knowledge-sharing and best practices in analytics and eCommerce. Work collaboratively with key business stakeholders to develop initiatives that increase zero- and first-party data collection and enrichment. Skills and Experience Essential A degree in a numerate … a BI tool e.g. Domo, Tableau, Looker, Power BI. Basic understanding of SQL and/or Python. Understanding of SEO, affiliate marketing, eCommerce or digital publishing. Exposure to digital analytics tools e.g. Google Analytics, Adobe Analytics, Chartbeat. A keen interest in current affairs and trending topics. Diversity, Equity and Inclusion We champion diversity in our teams and in our reporting. More ❯

everything businesses need to start, grow, and succeed. Profitable, innovative, and customer-obsessed, we’re on a mission to redefine how modern Job Summary We’re seeking a Senior Analytics Engineer to transform how we leverage data, automate reporting, and unlock actionable insights to drive our business forward. In this role, you’ll work closely with commercial, product, and leadership … to uncover the drivers behind key metrics—identifying trends, anomalies, and the “why” behind our numbers. Integrate new data sources (e.g., Stripe, CRM platforms) into our data warehouse and analytics stack. Present findings through clear charts, written commentary, and actionable recommendations for both technical and non-technical audiences. Partner with stakeholders across commercial, product, and finance teams to answer business … critical questions and enable data-driven decision making. Help develop and evolve our analytics infrastructure, introducing best practices for automation, data quality, and scalable reporting. 📚 What You Bring to the Table 5+ years of experience in data analytics, analytics engineering, or business intelligence, preferably in a technology or SaaS environment. Expertise in SQL and data modelling, with hands-on experience More ❯

of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our theoretical course content and tailor it More ❯

Preparation of data for modelling Quantify the catastrophe risk using vendor catastrophe models Operation of geo-visualisation tools including Arc GIS Contribute to the Global Markets Direct and Fac Analytics service offering development Understand and evaluate the impact of updates and revisions to models and the outputs produced Communicate results effectively to all stakeholders (i.e. cat modellers/brokers/ More ❯

scalable ETL/ELT data pipelines using Azure Data Factory, Data Lake, and SQL. * Prepare and preprocess large datasets to ensure data quality and readiness for ML modelling and analytics workflows. 4. Software Engineering & Collaboration * Write clean, maintainable, and production-ready code in Python using industry-standard libraries and tools. * Work collaboratively with data scientists, actuarial teams, and software developers More ❯

ANALYTICS DIRECTOR UP TO £85,000 HYBRID – LONDON – 2 days a week in the office THE COMPANY This digital marketing agency/consultancy is well-known in the industry, and has an exciting opportunity here for someone to take ownership of their data and analytics function! THE ROLE As an Analytics Director, you can expect to be involved in the … following: Leading a team of 2, and working directly with clients from a strategic and hands-on perspective Building out their data and analytics capability and practice based on where clients are going Leading projects across customer data science, MMM, propensity modelling, attribution modelling, and digital analytics Researching into where AI agents can be used on a variety of different … projects Utilising a variety of different tools such as SQL, Google Analytics, GTM, Adobe Analytics, and Microsoft Fabric. YOUR SKILLS AND EXPERIENCE Experience in consulting or agency-side is needed Strong stakeholder management skills required Ability to be both hands-on and strategic Management experience is ideal SQL and Google Analytics is a plus BENEFITS Salary up to More ❯

and business intelligence tooling to join my clients payments team, within the fintech space . This role is pivotal in building and optimizing data systems and pipelines that support analytics, reporting. Key Responsibilities Develop high-quality Power BI and Tableau dashboards , supporting business teams in making data-informed decisions. Ensure data integrity, reliability, and performance through testing, monitoring, and documentation. More ❯

emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯

analysis of data for reporting purposes. AI Integration: Leverage AI to streamline and automate processes, enhancing efficiency and accuracy. Data Analysis: Conduct data pre-processing, statistical analysis, and predictive analytics to support project goals. Reporting: Create and present data visualisations and reports to communicate insights effectively. Training Data Analyst Level 4: Ideal for new talent in the organisation with an More ❯

capability growth Work with engineers to productionise solutions Requirements: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems More ❯

involves Cloud & related technologies, Graph databases, Virtualization Technology Perspective Worked in multiple large distributed mission critical applications as an architect. Proven experience as architect and engineering lead in Data & Analytics stream. In-depth understanding of data structure principles and data platforms Used Architecture tools for modelling. Working experience on Modern data platforms which involves Cloud & related technologies Keeps track of More ❯

of developing people through a world class programme of vocational learning. Corndel delivers a range of programmes, including AI, Leadership and Management, Project Management, Business Administration, Data Professional, Data Analytics, DevOps, Software Development and Fundraising. You will: Manage a caseload of learners, mentoring, coaching and equipping them to become in their roles Take our theoretical course content and tailor it More ❯

emerging technologies in the future. This is an incredibly exciting time to join the business, and play a key role in really driving the use of AI and advanced analytics techniques to accelerate their journey to becoming a truly tech-driven and data-driven organisation. Requirements: Data Engineering experience - including building data models and structuring databases Proven experience building AI More ❯

DXC Technology: DXC Technology is a global leader in IT services, delivering mission-critical technology solutions that drive business transformation. With expertise in hybrid cloud, IT modernization, security, and analytics, DXC enables enterprises to thrive in a rapidly evolving digital landscape. Our clients rely on us to provide end-to-end solutions that improve performance, security, and scalability across their More ❯

Principal Data Scientist Up to £125,000 London (Hybrid, 3 days onsite per week) Company: A leading marketing and analytics agency is seeking a Lead Data Scientist to develop and deploy end-to-end AI solutions. You'll work on machine learning models for retention, price optimisation, recommendation engines, NLP, and Computer Vision. Responsibilities: Design, develop, and productionize machine learning More ❯

experience with data modeling, ETL, SQL, Power BI, and reporting. Experience in data governance, delivery, and project management. Knowledge of ESG reporting frameworks is a plus. Familiarity with data analytics platforms, especially Microsoft Fabric, is a plus. Previous roles as Data Analyst or Data Engineer (min. 3+ years) are advantageous. Excellent communication skills with technical and non-technical stakeholders. Proficiency More ❯

on involvement in delivering complex, multi-disciplinary modelling projects, including the development of neural network models. Practical application of AI/ML techniques in industrial process optimisation and predictive analytics Demonstrated ability to take on divers roles across the lifecycle of complex modelling initiatives including: Product ownership – defining vision, roadmap and stakeholder alignment, Project management – planning, coordination and execution of More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

Using your strong knowledge of SQL and Python plus quantitative skills to define features that capture evolving fraudster behaviours Develop internal tools to streamline the model training pipeline and analytics workflows Applying your curiosity and problem-solving skills to transform uncertainty into value-add opportunities Using your strong attention to detail and ability to craft a story through data, delivering More ❯

Growth mindset with ability to work with a diverse and global team Technology Knowledge: Understanding of leading technologies platforms such as Salesforce, SAP, ServiceNow, and leading technologies in data analytics and AI. Project Management: Proficiency in project management methodologies and tools is crucial for overseeing the execution of digital initiatives, managing resources, and ensuring timely delivery. of how to engage More ❯

and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Senior Manager, Data Analytics & Data Modelling! In this role, we are looking for an experienced and results-driven Senior Manager – Data Analytics & Science to lead high-impact data initiatives across our organization. The ideal … candidate will have a strong foundation in data analytics, data science, and data modelling, as well as proven experience in building data models and managing data dictionaries and data lineage. This role also requires the ability to work strategically, collaborating with business stakeholders to deliver data-driven insights that influence key decisions. Responsibilities Lead and manage a team of data … professionals in executing complex analytics, modeling, and data science projects. Design, develop, and maintain scalable data models that support business intelligence, forecasting, and decision-making processes. Oversee implementation and governance of data lineage and data dictionary frameworks to ensure transparency, compliance, and data quality. Collaborate with cross-functional teams and senior stakeholders on strategic data projects , ensuring alignment with business More ❯

UK property data and advanced data science, they provide deep customer insights, predict behaviour, and enable hyper-targeted marketing. Responsibilities: Lead the organization’s data science initiatives, developing advanced analytics strategies, and driving innovation through AI and machine learning Develop and implement the company’s data science strategy to drive business growth. Stay ahead of emerging trends in data science More ❯

address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of Data Scientist - Category Management: Ideally having 3-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment More ❯

with ENGIE's Code of Conduct. Develop and implement strategic sourcing contracts. Build strong relationships with suppliers and internal stakeholders. Mentor and develop junior procurement staff. Procurement Excellence & Data Analytics (20%): Develop and maintain dashboards and visual management tools using Power BI. Support decision-making with data-driven insights. Lead Digitisation initiatives to enhance procurement operations. What We’re Looking More ❯