501 to 525 of 687 Analytics Jobs in Central London

will lead a team of data analysts, BI business process experts and BI analysts, who will benefit from your experience in coaching and your knowledge of the data and analytics domain. The Data Fabric team will ensure that your team has access to all relevant information and their skilled data engineers will develop the data pipelines for the projects in … support running their operations. Our team already currently consists of 7 different nationalities. Do you enjoy this diversity? What is expected of you? – To have previous experience in data & analytics – Preferably earlier experience in coaching a team – Analytical mindset – Customer-oriented – Eager to learn – Capable of taking initiative Please Note - Unfortunately, out client is unable to offer H1B sponsorship. We More ❯

applying data science and machine learning to minimize waste and boost reliability. Full Stack Developer Opportunity Location: London (Office-based, collaborative team) Salary: £55,000 - £65,000 Industry: Data Analytics/Software Start: ASAP As a Full Stack Developer, you will: Design and implement services using Java and Python . Collaborate on infrastructure setup and maintenance. Focus on testing, coding … CI/CD Cloud Ops, Mentoring, UX Design, Data Visualization, and Build Management Systems . This is a brilliant opportunity to join a company at the forefront of data analytics and make a significant impact. More ❯

reports Write and optimise complex SQL queries , stored procedures, and ETL workflows Translate business needs into technical BI solutions by working closely with stakeholders Model and structure data for analytics aligned with London Market standards Integrate and reconcile data from multiple sources including bordereaux and third-party feeds Ensure data quality and compliance through validation and governance processes Deliver insights … for managing and querying relational databases Experience with ETL tools (SSIS, Azure Data Factory, or similar) Strong data modelling skills (star/snowflake schema) Familiarity with Azure SQL, Synapse Analytics , or other cloud platforms is a plus Domain Knowledge Solid experience in the Lloyd’s/London Market insurance environment Strong grasp of insurance data – policies, premiums, claims, and finance More ❯

your partnerships with the agency teams. A successful candidate will have a wide variety of skills in media, technology, data, and client management. Responsibilities: Work closely with key Agency & Analytics Craft stakeholders and users to define and prioritize product requirements, and manage reporting data product implementation through complete lifecycle, from initial request and requirements gathering, through to delivery Translate high … level functional requirements into detailed data model blueprints that will deliver scalable data automation solutions and analytics tools to end users Understand the business and guide data solutions to deliver results, through collaboration and coordination across business units to determine requirements and deliverables for product enhancements or net new products Manage stakeholder expectations, set and communicate realistic timelines and deliverables … users Strong knowledge and experience with key elements of media data management (e.g. taxonomy, data governance, data blending techniques, data structure management) Strong understanding of digital media measurement and analytics, with experience designing and building outputs to answer key business questions or challenges Knowledge of and experience working across the full cycle of digital media for all major channels (Display More ❯

a growing presence in 18 countries, GOAT represents the largest group of gaming brands on the continent. We are looking for a Customer Insight Analyst to join our growing analytics team and play a key role in driving data-led decision-making across the business. This position is ideal for someone with strong analytical skills, business acumen, and a passion … Looker (preferred) or other BI tools to make complex data easily digestible. Identify patterns and trends in customer data to support strategic planning and forecasting. Collaborate with the wider analytics team to continually improve reporting processes and data quality. Skills & Experience Proven experience in a customer insight or analytical role, ideally within the online gambling, gaming, or e-commerce industry. More ❯

their industry; our client is seeking an adept professional to spearhead strategic leadership and technical expertise within their data solutions landscape, focussed on cloud data platforms, but including IoT analytics, data integration, and migration projects. This unique opportunity is offered on a remote-first basis, but with an open invitation to their headquarters any time. Role Responsibilities: The Data Architect … and demonstrable data modelling capabilities. About the Company: Our client is a well-established organisation in their field, known for innovation and excellence. Specialising in niche data management and analytics consultancy, they offer the dynamism of a burgeoning company whilst maintaining strong partnerships with longstanding clients. Their commitment is to help clients derive valuable insights from data and achieve their More ❯

What you will do As the most senior technical leader in the Product Data Science function, you will: Define and lead the Data Science strategy for Product, embedding advanced analytics, data science, and AI methodologies into how products are built and customer experiences improved. Act as a trusted advisor to senior Product and Engineering leadership, ensuring data-driven decision making … machine learning techniques. Strong product acumen and experience defining and operationalising product and feature-level metrics. Demonstrated ability to drive strategic impact and influence at senior level. Experience scaling analytics capabilities through automation and self-service. Outstanding leadership, mentoring, and collaboration skills. Degree in Statistics, Mathematics, Data Science, Engineering, Economics, or a related field. A Masters or equivalent advanced degree More ❯

building production-ready systems, enabling seamless collaboration with data scientists, and shaping the long-term MLOps strategy. Beyond implementation, you’ll play a pivotal role in defining how advanced analytics supports smarter decision-making, better customer experiences, and more sustainable operations across the business. What You’ll Do: Lead the technical direction of machine learning engineering and deployment, ensuring models … from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship, helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition More ❯

In this role, you will be responsible for the development of data engineering processes within a customer-facing data warehousing product. This product plays a critical role in delivering analytics solutions for both the State and Commercial sectors. To be successful in this role you will work with the product and engineering team to identify valuable data sources and analyse … experience in building a scalable data pipelines with cloud-native tools in AWS or similar. Extensive experience working with a data warehousing solution preferrably Snowflake. Excellent data modelling and analytics techniques preferrably dbt (for transforming raw data into meaningful insights within modern data warehouses) Strong Python and SQL coding skills. JavaScript is a plus but not required. Experience implementing development More ❯

Job Title: Global Process Owner (Payroll & Compliance) Location: London/Cambridge Employment Type: Full time The Job As the Global Process Owner (GPO) for Payroll, you will be responsible for designing, governing, and continuously improving the global payroll processes across More ❯

Key Responsibilities: Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of structured and unstructured data. Collaborate directly with traders, quantitative analysts, and portfolio managers to understand data needs and deliver actionable insights. Integrate and manage real More ❯

Data Trainer (Associate Level) Location: Hybrid (Wimbledon HQ once a month and London based once a month - must be commutable to London) Start date: January or February 2026 £40,000 - £50,000 + benefits Help others fall in love with More ❯

Data Architect - London - Databricks - 110k + Bonus I'm looking for a hands-on Data Architect ready to shape the next generation of data platforms - blending architecture, data modelling, and AI innovation in a fast-moving, flat-structured tech environment. More ❯

Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing. Job Purpose As The Independent continues to evolve as a data-informed, diversified media business, the Head of Customer Analytics is needed to lead the development and growth of our Reader Revenues (Customer Marketing) propositions and Anonymous-to-Known (A2K) strategy for collecting first-party data in the UK, US … and our registered user base, and will be critical in ensuring consistent and profitable growth through deep analytical insight. About You A highly motivated, results-orientated and commercially astute analytics leader, with a proven track record in a high-performing customer/data team. You are experienced in user acquisition, retention, and overall customer base management. Resilient and adaptable, you … an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly. Key Responsibilities and Accountabilities Lead all customer analytics, performance, insight, optimisation, and forecasting across all Independent Media brands globally and for additional brands where Publisher Support Services contracts exist, with a specific focus on analysing and forecasting acquisition More ❯

ANALYTICS MANAGER - GTM LONDON - HYBRID - 1 DAY PER WEEK IN OFFICE SALARY UP TO £55.000 Company A digital agency specialising in Hospitality, Travel, Food & Drink, and Entertainment! The Role Lead analytics across a range of digital clients, ensuring data accuracy, clear performance measurement, and actionable insights that drive results. Responsibilities include: Own analytics strategy and tracking for multiple brands Set … up and manage GTM, tagging plans, and conversions Create dashboards and reporting Manage client analytics accounts and data integrity Analyse performance and present insights to senior stakeholders Collaborate closely with SEO, paid media, CRM, and creative teams Line manage an offshore analytics specialist Candidate Requirements Strong GTM, tracking and GA expertise (GA4 and GTM essential) Dashboarding experience preferred Able to … brand environment ideal Ready to step into a leadership role with ownership and autonomy Benefits Office with bar, snacks, regular socials Wellbeing budget 25 days holiday Opportunity to lead analytics for well-known consumer brands More ❯

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 centre of all we … 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 ❯

About Tredence Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization, Data Management to Advanced analytics, Big Data and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do … this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. Role Overview As a Client Partner , you’ll work hand-in-hand with senior leaders to nurture and expand relationships with our strategic retail … one of the fastest growing private companies in the country! You will have the opportunity to work with some of the smartest, friendliest, hardest working people in the data analytics space. You will work with the latest technologies and interface directly with the key decision stakeholders at our clients, some of the largest and most innovative businesses in the world. More ❯

month in the office (just outside London) A leading tech client is hiring a Data Architect to design and evolve scalable data platforms and modern data products that underpin analytics, AI, and data-driven decision-making. You’ll work in a cross-functional team of Data Engineers, Analytics Engineers, Data Scientists, and AI Specialists to build the data foundations that … using cloud-native technologies such as Databricks and AWS across development, staging, and production environments Build and govern dimensional data models and semantic layers to power consistent and trusted analytics Integrate data from diverse sources including cloud warehouses, APIs, and operational systems Define semantic layers using dbt and Delta Live Tables to ensure consistency across analytics and AI use cases … record of designing and implementing complex dimensional models and enterprise-wide canonical data models The ability to translate complex business processes into scalable and intuitive data models that support analytics and AI Extensive experience designing fact and dimension tables across core business domains Deep practical knowledge of semantic layer design using dbt, SQL, and Delta Live Tables Experience building and More ❯

Senior Data Engineer – Hybrid/London - £130K + Bonus & Benefits – FinTech Overview: An established global FinTech organisation is seeking a skilled Senior Analytics Engineer/Data Engineer to help define and manage its analytical data models and semantic layers. You will support the development of reliable, well-structured datasets that enable accurate reporting, improved data accessibility, and better decision-making … across the business. Fluent Russian language skills are essential for this role. Role & Responsibilities: Build and maintain scalable semantic/analytics layers to create consistent business metrics and definitions. Work with teams across the business to understand requirements and translate them into reliable models. Develop core data models following modern data warehouse principles. Write high-quality SQL and maintain dbt … based transformations, tests, and documentation. Support colleagues by ensuring data quality and clarity throughout the analytics ecosystem. Collaborate with data engineering teams to shape upstream data needs. Work with analysts and data consumers to promote usability and data literacy. Essential Skills & Experience: Fluent Russian language proficiency. Experience as an Analytics Engineer or Data Engineer, particularly in data modelling. Strong SQL More ❯

develop and manage key reporting tools, enabling critical underwriting and portfolio management decisions to be informed by current and historical underwriting performance. You will require experience in a Data Analytics role, ideally within a Lloyd’s Market insurance business. The role will involve the analysis and development of the dashboards, enhancements, documentation, quality control and being part of data change … key decisions. Required experience and skills Power BI SQL Insurance (ideally London Market) Underwriting knowledge and understanding Excel Strong communication skills Excellent problem-solving ability Ability to translate complicated analytics concepts into simple and relevant messages Hybrid - 4 days per week in the London office This role is a good step up for a Data Analyst with a few years More ❯

at the forefront of the green tech space. With thousands of charging points across the UK and exciting new contracts secured, this company is heavily investing in data and analytics to drive smarter, more sustainable decision-making. THE ROLE As a Senior Data Analyst, you’ll report directly to the Head of Data and manage one Data Analyst. You’ll … a comprehensive benefits package and hybrid working (3 days in the office). This is a brilliant opportunity to join a purpose-driven company and shape the future of analytics in the green energy space. More ❯

focus on data. As a Lead Engineer, you will set the technical direction for our data platform and shape how data enables every part of the business: lending, finance, analytics, and risk. This is a hands-on leadership role in a high-trust, high-ownership environment. You’ll lead a squad of talented engineers, architect the future of our data … using DBT and BigQuery. Scaling a cloud-native data platform with strong automation and monitoring. Improving data lineage, governance, reliability, and security. Enabling self-service capabilities for product and analytics teams. Shaping a modern, greenfield data strategy with genuine engineering freedom. You’ll be a strong fit if you Have 7+ years in data or backend engineering, including 2+ years More ❯

Track and support transformation initiatives, ensuring portfolio companies deliver measurable outcomes from data-driven initiatives. Collaborate with senior leaders across portfolio companies to embed best practices in data governance, analytics, and cloud-based architectures. Drive operational excellence, enabling portfolio companies to use data as a catalyst for innovation and long-term growth. What We’re Looking For Proven track record … architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn). Exceptional stakeholder management skills, comfortable engaging with C-suite executives and senior investors. Strong knowledge of data governance and compliance frameworks (GDPR, CCPA). More ❯

Technical Business Analyst/Product Owner – Underwriting Workbench Systems Location: London (Hybrid - 2 days on-site) Salary: £75,000 - £120,000 + bonus & benefits Department: Product & Analytics Employment Type: Full-time About the Role: An exciting opportunity to join a fast-growing InsurTech delivering cutting-edge underwriting workbench technology for global insurers, MGAs, and reinsurers. You’ll sit between business … optimise submission, triage, quote, and bind processes. Define and enhance integrations between underwriting workbench, pricing engines, and policy administration systems. Manage API and data model requirements to support automation, analytics, and reporting. Lead backlog management, sprint planning, and UAT. Deliver continuous improvements to workflow efficiency and underwriting performance. Required Experience: 3+ years’ experience as a Business Analyst or Product Owner More ❯

delivering enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business needs into … bid writing, client presentations, and proposal delivery. Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical More ❯