951 to 975 of 6,555 Analytics Jobs in London

align business goals with execution strategies. This role requires both technical depth and strategic leadership. Candidates should have prior experience in software, data, analytics, or cloud engineering and be comfortable leading discussions with both engineers and business leaders. You will serve in key roles such as Product Owner, Product Manager … drive project execution, ensuring alignment with client objectives, timelines, and quality standardsGuide clients through technology transformations, acting as a trusted advisor in software, data, analytics, or cloud initiatives. Lead teams of two to dozens of members, ensuring effective collaboration between technical and business stakeholders. Oversee and manage product roadmaps, backlogs ...

client stakeholders to align business goals with execution strategies.This role requires both technical depth and strategic leadership.Candidates should have prior experience in software, data, analytics, or cloud engineering and be comfortable leading discussions with both engineers and business leaders.You will serve in key roles such as Product Owner, Product Manager … drive project execution, ensuring alignment with client objectives, timelines, and quality standardsGuide clients through technology transformations, acting as a trusted advisor in software, data, analytics, or cloud initiatives.Lead teams of two to dozens of members, ensuring effective collaboration between technical and business stakeholders.Oversee and manage product roadmaps, backlogs, and project ...

Canary Wharf) Duration: Sep 2026 – June 2027 On-site Expectation: Up to 5 days per week in office Brief about the Team & Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics, and technology to drive smarter, faster and more accurate decisions in every aspect of their business. … Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation, and impact to them through predictive analytics and visual storytelling. Role Details We are seeking a Senior Software Engineer with deep expertise in Java/Kotlin, cloud-native development ...

data foundation. The new platform will seamlessly integrate vast datasets from internal trading systems, London Market platforms, and third-party providers to enable advanced analytics, AI, and real-time decision-making. Responsibilities Lead the design and implementation of a scalable, cloud-native data platform, serving as the technical authority … engineering, leveraging modern cloud technologies (AWS, Snowflake, Databricks, Azure Synapse) to deliver scalable and reliable solutions. Collaborate closely with business stakeholders, data engineers, and analytics teams to translate industry needs into innovative technical solutions. Establish and maintain data governance, security, and compliance standards aligned with GDPR and industry best practices. ...

turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI‐first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry‐leading platform that combines product and web analytics, session replay … insights that customers trust. Visit mixpanel.com to learn more. About the Customer Success & Solutions Engineering Team Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer ...

data solutions. Key Responsibilities: Build and maintain ETL/ELT pipelines to ingest, transform, and prepare data Develop and optimise datasets for reporting and analytics Implement data transformations using SQL and Python (incl. PySpark) Monitor, troubleshoot, and improve performance of data pipelines and queries Apply data quality controls and maintain … business requirements into scalable data solutions Partner with BI developers to support reporting and dashboard needs Engage stakeholders and support adoption of self-service analytics Work with platform teams on architecture, scalability, and performance Follow engineering standards and contribute to continuous improvement Support incident management and ongoing maintenance ...

required per week. This is a fantastic opportunity to work with a high performing team on a project supporting a major data and analytics initiative within a globally renowned Trading business in London. The Senior Data Engineer is someone who designs and builds data foundations and end-to-end solutions … someone who can offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products in cloud environments. Experience developing and maintaining REST APIs ...

will be based in our London office. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies … required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision ...

Senior Customer Analysis & Reporting Manager to join our team. This is more than a reporting role. You'll be the driving force behind customer analytics, helping business leaders understand customer behaviour, identify growth opportunities, and deliver exceptional customer experiences through data-driven decision making. What You'll Be Doing … Senior Customer Analysis & Reporting Manager, you will: Lead the development of customer insight, analytics, and reporting strategies. Translate large and complex datasets into clear, actionable business recommendations. Partner with senior stakeholders across the organisation to influence key commercial and customer decisions. Develop and maintain executive-level dashboards, KPIs, and reporting ...

closely with CRO and product teams to design, run, and evaluate experimentation initiatives (A/B testing, incrementality analysis, and heuristic reviews). Advanced Analytics & AI: Perform statistical analyses and leverage AI capabilities to accelerate insight generation, separating signal from noise to understand the business impact of optimization efforts. Dashboards … Design, maintain, and present intuitive performance dashboards, measurement frameworks, and executive reports featuring key behavioural findings and strategic recommendations. Data Quality & Governance: Partner with Analytics Engineering and Data teams to define robust KPIs and ensure high tracking quality and data consistency. Mentorship & Team Support: Provide guidance and support to junior ...

customer experiences and business decisions. As a Senior Data Engineer on the Data Enablement team, you will build production-grade data products that serve analytics, search, recommendations, personalization, and machine learning. You will work closely with product managers, analysts, data scientists, ML engineers, and software engineers to turn ambiguous needs … batch and event-driven pipelines for auction, inventory, customer, and transaction data.• Develop reusable transformation models and curated datasets in Snowflake and dbt for analytics and operational use cases.• Orchestrate complex dependencies with Airflow, Dagster, or a comparable workflow platform.• Design data models and interfaces that are clear, scalable ...

models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance, IT, legal, information security and architecture teams. You'll be a senior individual contributor, setting standards, producing architecture documentation, reviewing designs … connect behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering ...

models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance, IT, legal, information security and architecture teams. You'll be a senior individual contributor, setting standards, producing architecture documentation, reviewing designs … connect behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering ...

models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance, IT, legal, information security and architecture teams. You'll be a senior individual contributor, setting standards, producing architecture documentation, reviewing designs … connect behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering ...

Milan, Mumbai, Singapore, Guangzhou, Beijing, Shanghai, Dubai, Sao Paulo, Seoul, Tokyo and Perth. Job Purpose: Are you passionate about applying data science, AI and analytics to solve complex business problems and create products that customers love? At ICIS, we're building the next generation of data-driven and AI-powered … successful customer outcomes into scalable solutions. This is a key role that will shape the evolution of the organisation. You will apply data science, analytics and AI techniques to create practical, user-focused solutions that solve real-world challenges and help ICIS customers to optimize global resources. You will primarily ...

Verisk is a global leader in data analytics and technology, helping businesses make smarter decisions, manage risk, and improve outcomes. Across insurance, financial services, and many other industries, our solutions combine deep industry expertise with leading technology to solve complex challenges at scale. Within Verisk, Specialty Business Solutions (formerly Sequel … CultureFor more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core ...

sits AI & Data, the practice that builds the data-led intelligence behind the customer work. Song AI & Data helps organisations unlock value from data, analytics and AI by creating more relevant, personalised and effective customer experiences. Our expertise spans customer insight, data strategy and platforms, advanced analytics, performance optimisation … within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through to building, deploying and operating ...

firm is seeking an individual who will bring energy, curiosity and new ideas to compliance monitoring, helping to modernise the use of data, analytics, reporting and technology-enabled assurance across the Internal Audit function. The position will support the development of a stronger, more consistent compliance monitoring framework across … data analysis and exception testing to identify non-compliance, control gaps, trends and emerging risk areasDevelop and enhance data-driven compliance monitoring techniques, leveraging analytics and automation to improve coverage, efficiency and insightPerform periodic user access reviews across key systems, assessing the appropriateness of access rights, segregation of duties ...

engine that drives our growth. We are looking for a Lead Pricing & Monetization Analyst to join our Go-To-Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution … analyzing our revenue engine and providing crucial insights into our pricing architecture and monetization strategies to maximize our overall commercial impact. The GTM Analytics team operates in a semi-embedded model where each analyst serves as a trusted partner and owner for a specific strategic focus area. In this role ...

Providing regular operational reporting across service performance, SLA adherence and delivery progress to both leadership and key stakeholders. Experience Needed Strong experience operating AI, analytics or technology platforms in production. Solid DevOps experience, including CI/CD, monitoring and incident management. Understanding of AI/ML, including generative … coordinating offshore/distributed teams. Strong stakeholder management and communication skills. Typically 5+ years' technology operations experience, with 2+ years in AI/advanced analytics or equivalent. If you're looking to join a forward-thinking organisation and make a meaningful impact, please send your CV for consideration. Etech Partners ...

features and rule sets that work alongside our Risk and Compliance teams to keep bad actors out without adding friction for good users. Product analytics and growth. Own funnel analytics across on-ramp and off-ramp flows. Design and analyze A/B and multivariate experiments, identify conversion bottlenecks … data models, and the warehouse. Treat data quality as a first-class product. Requirements: 2 to 5 years of experience as a data scientist, analytics engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift ...

design, implementation, and ongoing evolution of the data pipelines and models that underpin enterprise-wide workforce reporting, regulatory compliance, and strategic people analytics across 90+ markets and 100K+ employees. This is not a coordination role. It requires deep, practised data engineering capability combined with the architectural judgement to make enterprise … data structures across the global people data platform. Define and enforce schemas, ingestion patterns, and transformation logic that support scalability, consistency, and downstream reporting, analytics, and regulatory use cases. Technical Decision Authority: Make day-to-day architectural and design decisions independently — on schema design, data standardisation approaches, and pipeline patterns ...

analysis of key performance indicators (KPIs) and communicate results and recommendations to the brand teams. 4. Develop a pro-active market research/analytics project plans for each brand which aligns with business needs. Design, commission and manage market research or other third-party analysis projects necessary for the development … tactical decisions to deliver against brand objectives. 9. Keep up to date with developments in the availability of business insights data sources, reports, advanced analytics, Artificial Intelligence, and changes and developments within the pharmaceutical industry environment. Key knowledge and/or experience needed • Experience in an Insights and/ ...

development of the ELN platform to support laboratory operations and good data management practice, alongside extending its capability to support broader laboratory data and analytics activities. A key responsibility will be coordinating and collating the requirements of all users and ensuring that suitable ELN tools are developed that … Technology, Quality and laboratory informatics to align on consistent data capture methods, data structures, nomenclature and shared data goals. Define the reporting and analytics needs required to enable data‐driven scientific decision‐making from the repository. Write SQL queries to extract, transform and validate data from laboratory systems ...

London areaEngineering, Product, and Design – Product analytics/Full-time/HybridContentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. … global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay—and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns ...