1 to 25 of 344 Analytics Jobs in Central London

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 ❯

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 ❯

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 ❯

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 ❯

and ensuring on-time, quality project delivery within constraints. Demonstrate strong organisational skills to handle concurrent tasks. Ability to manage workload efficiently, addressing various issues promptly. Proficient in data analytics and manipulation Desirable: PowerBI, SQL, DataBricks, ArcGIS, ArcOnline, Excel, Google Sheets, AppSheets, ProntoForms, Jira, Lucid. If you don't meet all of our outlined requirements we'd still love for 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 ❯

Arthur are supporting a UK Insurer looking to hire a highly Analytical Finance Analyst who is able to to code, using either R & Python. The role will support the broad Finance Operations of the organisation, involved in multiple improvement & documentation More ❯

Our client, a global private equity and infrastructure investor, who offer Hybrid working currently seek a Valuations Manager to lead the London-based Valuations team. The Senior Associate, Valuations Manager will be responsible for producing the fund valuations and maintaining More ❯

Manager, Data & Analytics, Global Insight (London-based) Hybrid working – Central London office Salary and benefits in line with industry Job Reference J12978 Reporting to: VP, Data & Analytics (New York) About Fremantle Join the place creatives call home! Fremantle is a world leader in creating, producing and distributing across Entertainment, Drama, Film and Documentary content. Our formats are some of the … all that we do. The Role and the team Fremantle’s Global Insight Department plays a pivotal role in analysing performance metrics, audience behaviours, and content trends. The Data & Analytics team within this department is responsible for developing and maintaining the company’s performance data infrastructure and delivering actionable insights across a wide range of business areas using Microsoft Fabric … Power BI, Azure Data Factory and other tools. We are looking for a Manager, Data & Analytics to lead a small London-based team within our Insights division, reporting directly to the VP of Data & Analytics based in New York. This is a newly created role designed to oversee the day-to-day running of the team, mentor and line-manage More ❯