451 to 475 of 1,534 Data Visualisation Jobs in London

Product Team The Amazon MENA CX Product team is looking for an analytical and technically skilled business intelligence engineer to join our team. Our team turns disparate, raw data into actionable insights that improve every customer's ability to securely discover, evaluate, and purchase products and services across the Amazon store. We own the analytics for the customer … shopping journey from Search, Navigation, Homepage, Detail Page till Checkout and order placement. We are looking for a Business Intelligence Engineer to lead data analytics and drive critical product decisions for one of these verticals. We're looking for a driven individual who loves working with BI tools, and is able to perform multiple large, complex, and business … critical analyses that will inform product design and business priorities. This is a role that partners with Product as an equal force, not just as a data source. They need to be comfortable accessing and working with data from multiple sources, automate business critical reports and partner with internal stakeholders to solve complex and broad business More ❯

around the world, whether it’s through customer service, coding or couriers. About this role We are looking for an Analytics Engineer who thrives at the intersection of data engineering & data analysis to join a newly formed Data, Insights and Tooling team. This team works with large scale data from our Customer Data Platform (CDP) to enable audience segmentation, data visualisation, dashboards and surfacing data across Retail Media and the wider JET organisation. You will be part of a multidisciplinary, data driven team, collaborating with data scientists, product managers, analysts and engineers to ensure data is reliable, accessible and actionable for feature development and analytics. You will partner and work closely with the Data & Analytics department, helping to scale our capabilities within the Retail Media domain and beyond, across both our Ventures pillar and broader engineering teams/pillars. We More ❯

world’s largest and most customer-centric companies, continuously innovating to make customers’ lives easier. We are seeking a Business Intelligence Engineer to join our dynamic team, driving data-driven decision-making and fostering innovation at scale. Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who … team of a tech organization under S&A, global partner for Ops Finance. As a Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering … answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional product teams, and data engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self More ❯

opportunities that enhance the client experience. The Role The KYC Client Outreach Quantitative Solutions team proactively identifies opportunities that drive meaningful impact and enhance existing processes and related data needs. The team values intellectual curiosity and those who enjoy sharing their expertise to drive collaborative efforts to advance tools, technology, and ways of working to better serve our … Collaborate with business partners to identify, design, develop, test, and maintain automation of business processes. Develop and maintain Dash web application with user-friendly interface for workflow processing, data visualization, exploration, and efficient reporting. Design and implement relational databases in Impala to effectively store and manage data. Develop optimal schemas for Impala tables based on query patterns and … data characteristics. Integrate Dash applications with Impala to efficiently query and process large data sets. Implement and manage Oozie job schedulers for maintaining ETL processes to efficiently load, transform, and distribute daily data. Employ agile development practices to develop effective business solutions based on the business needs. Required Skills Education & Experience: Master's or higher degree More ❯

to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data … experts to work together to build AI into their daily operations, from advanced analytics to Generative AI. Dataiku is looking for an Analytics Engineer to join our Enterprise Data and Analytics team in London. As a member of the EDA Team, you will play a central role in delivering data products as well as data … not limited to: Build, maintain and evolve our data catalog with data products that allow for answering complex business questions, flexible querying, data visualisation and that support self-service analytics in the best way possible. Partner with cross-functional stakeholders and embedded analysts to ensure that business logic is properly represented in datasets More ❯

decision space. • Develop relationships with internal and external partner teams to enrich our collection of data. • Take the lead on the design, implementation, and delivery of large-scale data solutions that have a long-term impact on our mid- and long-term strategic planning. • Analyze historical data to identify trends and support decision making. • Identify and … tackle intrinsically hard problems. Deliver artifacts that set the standard in your organization for business intelligence excellence, from designs to data models to implementations. • Improve upon existing methodologies by developing new data sources or architecture enhancements. • Lead and actively participate in design reviews, aligning teams across your organization towards coherent architectural strategies. • Conduct written and verbal … against other competing software in the industry. • Actively mentor and educate the larger BIE community on trends, technologies, and best practices. BASIC QUALIFICATIONS - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in analyzing and interpreting data with Redshift More ❯

Hitachi Solutions Europe is a global Digital, Data and Technology consultancy, Microsoft Gold partner and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team … from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate … machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI More ❯

people and build communities to create economic opportunity for all. About the role and the team The Detection & Enforcement Controls Implementation team is responsible for analyzing and interpreting data related to policy violations and compliance issues within the eBay organization, as well as designing effective policy enforcement controls. This role involves working closely with various teams to ensure … partner to our global policy, regulatory, legal, and customer support teams. What you will accomplish Develop comprehensive policy enforcement strategies to ensure compliance and operational efficiency by analyzing data from previous policy violations and other complex data sources. Implement, evaluate and deploy detection & enforcement controls (including AI-based). Create and maintain supporting documentation. Collaborate with … driven measurements Basic knowledge of machine learning including experience with LLMs as a user Experience in working with engineering teams SQL, Excel PivotTable, Tableau and other data visualisation experience. Some basic skills in R, Python etc. is a plus Ability to quickly understand different domains and efficiently work with subject-matter experts to gather knowledge Deep understanding More ❯

act as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels … across multiple territories in Europe. Key job responsibilities - Work with Marketing, Partner Management, Content Acquisition Management, other BIE and leadership to identify data needs and requirements - Build mechanisms to surface knowledge and learnings about to the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations … based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help scale the business across the EU, or Worldwide - Work closely with finance team on regular analyses and reporting BASIC QUALIFICATIONS - Experience with theory and More ❯

from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate … that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages … machine learning Experience with one or more generative AI and LLM frameworks and tools. Experience with machine learning concepts and techniques and Deep Learning. Experience with data visualisation and storytelling tools and techniques. Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices. Experience with integrating AI More ❯

multiple deliverables and in parallel, be comfortable with prioritizing efficiently and communicating progress and blockers in an effective manner. Key job responsibilities • Manage a portfolio of BI solutions (Data Products, Analysis, Dashboards) related to supplier management (performance & risk management, diversity & inclusion etc. ), work with multiple stakeholders and communicate effectively progress and blockers with the project team and sponsors. … Develop ETL jobs and analytical layers that require in depth knowledge in scripting and AWS technologies (S3, Redshift, Glue, Lambda). • Implement metadata management and follow core data governance practices • Develop visualizations that are fast and easy to comprehend. • Adopt existing best practices or contribute to improving them; solution design, development, validation and documentation practices. A day in … customers, understands how they operate and is able to build solutions that return the right strategic value back to the organization. Improves the way that customers interact with data and analytics. Works cross functionally, interacting with other tech and non-tech teams globally to align on requirements and solutions. Develops and maintains strong networks and partnerships across organizations More ❯

We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team. What You'll Do The Data Led Sales team is a central function within the Product Management division. We build software tools to help the sales teams in the business units sell Viasat services more … effectively. We work closely with front line sales teams to understand the sales cycle and build automated solutions that apply automation, big-data, and new analytics. These solutions help the sales teams to understand, anticipate and respond to customer needs effectively and ultimately grow and sustain revenue for the business units. We also partner with a wide range … working within an agile team and familiarity with JIRA. Degree in a Data Science or Computer Science related discipline. Experience with end user data and visualisation tools such as Tableau. Experience working with APIs. Experience working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools. More ❯

The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact … uncover areas for improvement, and develop and implement solutions. Solution Design: Work with developers and IT teams to design and implement technical solutions that align with business goals. Data Analysis: Use data modeling practices to analyze findings and create suggestions for strategic and operational improvements and changes. Documentation: Develop and maintain detailed documentation, including business requirements … BA tools like JIRA, MS Visio, and other modeling software. Exceptional communication and interpersonal skills. Ability to work independently and as part of a team. Familiarity with SQL, data analysis, and reporting tools is an advantage. Preferred Skills: Experience in project management. Knowledge of IT infrastructure and architecture. Certification in Business Analysis (CBAP, CCBA, etc.) is a plus. More ❯

office in Central London and work as a mix from office and home. The role We are looking for a senior Machine Learning Engineer with a spike in data engineering and maintaining real-time data pipelines. You will work with our Product & Engineering team along the end-to-end algorithm lifecycle to advance the Trudenty Trust … Network. A bit more on what you'll do: Data Engineering Develop and maintain real-time data pipelines for processing large-scale data Ensure data quality and integrity in all stages of the data lifecycle Develop and maintain ETL processes for data ingestion and processing Algorithm Development, Model … for fraud prevention and user personalization Train and fine-tune machine learning models using relevant datasets to achieve optimal performance Implement strategies for continuous model improvement and optimization Data Mining & Analysis Apply data mining techniques such as clustering, classification, regression, and anomaly detection to discover patterns and trends in large datasets. Analyze and preprocess large datasets More ❯

profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long-term solutions and driving their implementation with stakeholders. We are looking for people with a flair for recognizing trends and patterns while correlating it … at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence people using hard data (and some tact) then we are looking for you! Key job responsibilities As a BIE within the group, you will work closely with program managers, software developers, research scientists … and product managers to analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data More ❯

learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. Key job responsibilities: Apply multi-domain … throughout the execution. Define analytical approach; review and vet analytical approach with stakeholders. Proactively and independently work with stakeholders to construct use cases and associated standardized outputs. Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation. Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis. Work with a variety of data sources and pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage). When needed, pull data from multiple similar sources to triangulate on data More ❯

We are seeking a skilled Data Scientist to join our dynamic team, focusing on the intersection of artificial intelligence (AI), cybersecurity, and forecasting. This role involves developing predictive models to anticipate cyber threats and enhance security protocols, leveraging AI and machine learning techniques. Key Responsibilities: Predictive Modeling: Develop and implement machine learning models to forecast potential cybersecurity threats … and vulnerabilities. Data Analysis: Analyze large datasets to identify patterns and anomalies related to security incidents. AI Integration: Integrate AI solutions into existing cybersecurity frameworks to improve threat detection and response times. Collaboration: Work closely with cybersecurity analysts, IT teams, and stakeholders to align data science initiatives with security objectives. Reporting: Generate comprehensive reports and visualizations … to communicate findings to technical and non-technical audiences. Required Qualifications: Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Cybersecurity, or a related field. Technical Skills: Proficiency in programming languages such as Python or R. Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn). Familiarity with cybersecurity concepts and tools. Analytical Skills More ❯

lead the industry into a new era. What You'll Do Identify revenue opportunities, possibly through creative solutions, and drive the implementation to realize them Design and build data-driven hotel optimization models using advanced Analytics/Data Science techniques Strive to continuously refine and improve optimization models through A/B testing or test/… decisions and help chart the course for optimizing our hotel supply Identify, prioritize, and drive automation opportunities through SQL, Python (or other programming language) Create new tools and data visualization using PowerBI or Tableau Build-up and lead a new team and function within hotel optimization What We're Looking For Bachelor’s in quantitative discipline (Data Science, Maths, Business/Economics, etc.), Master’s preferred Min. 3 years work experience as Business Analyst or Data Scientist with focus on problem solving in a commercial environment. Strong SQL skills, with ability to write SQL from scratch, good understanding of databases Strong experience using Tableau or Power BI to pull data from More ❯

various departments to support TerraPay's mission of building a borderless financial world. Key Responsibilities: Market Research & Analysis: Conduct thorough research on market trends and competitive landscapes. Analyze data to identify key insights and potential opportunities for TerraPay. Assist in the creation of reports and presentations summarizing research findings. Business Case Development: Support the development of detailed business … cases for new products, services, and market entries. Develop bespoke pricing models for TerraPay customers. Assist in financial modeling, including ROI and break-even analysis. Gather and analyze data to support assumptions and recommendations within business cases. Strategic Project Support: Assist in the execution of key strategic projects, providing research, analysis, and project coordination support. Collaborate with cross … functional teams to ensure project milestones are met. Prepare presentations and reports to communicate project progress and findings. Data Analysis & Reporting: Utilize data analysis tools (e.g., Excel) to analyze market trends, customer insights, and financial data. Assist in the creation of insightful presentations and reports to communicate key findings to stakeholders. Support the maintenance of data More ❯

Job Description Do you want to make a huge impact, step-change eCommerce business decisions and drive growth through data and insight? If you are a strong communicator, curious-minded, with a passion for data analysis - then join our team! You can unleash your potential in an ambitious, fun, and diverse organization and experience the LEGO … a wide range of team members across Western Europe Be a trusted analytics partner who generates recommendations that accelerate growth and influence collaborators Triangulate first and third-party data sources to generate insights through data analysis Ensure data flows are accurate and robust Supply the eCommerce team with a suite of dashboarding and self … Query coding (e.g., SQL, Python) Business Intelligence & Reporting Tools (e.g., Power BI) Good awareness of common Data Analytics techniques, together with advanced Data Visualisation Skills Strong communications and presentation skills - able to communicate complex data analysis to a non-technical audience in a simple way Strong collaboration skills Fluency to work More ❯

impactful presentations and POCs. If you have a proven track record of successfully selling technical solutions in the enterprise market, particularly within AI/Agentic Solutions, Business Intelligence, Data Warehousing and/or Analytics, and are driven by innovation , we want to hear from you! What You'll Do: Strategic Partnership: Collaborate closely with Account Executives to develop … from technical teams to executive leadership. Differentiated Demonstrations: Deliver engaging and tailored product demonstrations that clearly highlight ThoughtSpot's competitive advantages and resonate with specific customer use cases. Data-Driven Evaluations: Lead and manage successful Proof of Concepts (POCs), guiding customers in analyzing their own data to showcase tangible results and ROI. Knowledge Sharing & Collaboration: Proactively … You Bring: Proven success (3+ years) in a customer-facing analytical role. Strong proficiency in SQL, with the ability to write and optimize complex queries. Solid understanding of data modeling principles, data warehousing concepts, and ETL processes. Working proficiency in at least one scripting language (e.g., Python, JavaScript) is highly preferred. Hands-on experience with modern More ❯

optimise our infrastructure to meet current and future demand. Responsibilities Develop, maintain, and enhance network capacity models, ensuring their accuracy and consistency to support forecasting and planning. Conduct data analysis and reporting to support operational and strategic initiatives, while contributing to the standardisation of datasets and reporting processes to improve efficiency and clarity. Use data-driven … ALS, while collaborating with cross-functional teams including Supply and Commercial. Use network optimisation tools to simulate different scenarios and improve the efficiency of logistics flows. Turn complex data into clear, digestible insights and … visuals that help stakeholders make informed decisions. What You’ll Need Strong analytical and problem-solving skills. Proficient in Excel and experience with Power BI for data visualisation and SQL for querying and managing data sets is highly beneficial. Excellent organisational and time management skills, with the ability to manage multiple tasks simultaneously. Ability to More ❯

months to ensure you are not duplicating efforts. Job Category Sales Job Details About Salesforce Were Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be … doing good youve come to the right place. Job Description This is an opportunity to work with Salesforces Tableau Solution Engineering team. The team is made up of data and analytics professionals who work with customers to solve their business problems with Tableaus world-leading analytics platform. We are looking for a Solution Engineer to join our team … informing their data and analytics strategies. Develop and sustain expert-level knowledge of all aspects of the Tableau platform, including data integration, data visualisation, analytics, artificial intelligence,, governance, architecture, security, and scalability. Lead technical evaluations and responses to RFPs and RFIs. Work closely with product management teams to stay updated on our latest More ❯

of our partners. As the scope of our team is quickly growing, we are looking for someone who is customer (advertising partners and advertisers) obsessed. You will analyze data to find out gaps in partner experience. You are excited about partner development. You listen to partner's needs. You become an expert in the advertising tools and products … continuous product usage consultation to ensure success. Build and maintain strong relationships with key stakeholders• Communicate and influence effectively across job levels with internal/external partners Analyze data and trends to identify, action, and/or influence experience of partners. Continuously audit to improve the customer experience and business performance. Help drive evolution of partner experience through … close collaboration with cross-functional teams ranging from Trademark, Marketing, Product Management, Programs, Engineering, Analytics, and Risk. Advocate voice of the customer internally, using data and anecdotes to drive prioritization. Build out operational processes from policy requirements, with the goal of future automation. Handle the day-to-day volumes of the assigned tasks and ensure the SLAs and More ❯

a real impact in a mission-led, fast-scaling tech business, this is the right place for you. About the Role We’re looking for a commercially sharp, data-driven Senior Product Analyst – Monetisation to support pricing and packaging analytics at the heart of our membership business. This is a hands-on, high-impact role focused on unlocking … experimentation, and sophisticated monetisation strategy. You will work closely with product, finance, and growth teams to support pricing, packaging, subscription monetisation, and upsell/cross-sell optimisation through data-led insights and analysis. Your experience in subscription or marketplace models will allow you to bring insight into customer behaviour, pricing elasticity, and revenue optimisation strategies across the entire … in product analytics, monetisation or pricing strategy. Experience working in subscription or marketplace businesses, ideally within high-growth, agile product environments Strong proficiency in SQL and data visualisation tools (e.g., Mode, Looker, Tableau, Amplitude). Advanced hands-on experience with statistical testing methodologies and experimentation. Excellent communication and data storytelling skills, able to translate complex More ❯