1,176 to 1,200 of 4,706 Analytics Jobs

products , predictive modelling, and complex workflows—but not responsible for architectural decisions. Requirements: 5–10 years’ experience, with 3+ years in Data Engineering or Data Science Strong data and analytics background, comfortable discussing ML workflows and data pipelines Experience managing large-scale data platforms and high-volume pipelines Prior experience in product companies (SaaS, digital, or consumer tech) Understanding of More ❯

office) About the Company/Role A global film/entertainment company is hiring a Data Analyst to join their London data function. This role sits within a collaborative analytics and engineering team, supporting reporting improvements and a migration to a more advanced BI platform. You’ll work cross-functionally with stakeholders across the business — from content and finance to More ❯

a wholly owned but operationally independent part of the Kantar Group. Job Details As people increasingly move across channels and platforms, Kantar Media's data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we have the world's fastest growing cross … organise user and stakeholder feedback to inform backlog prioritisation and improvements. Coordinates dependencies with other POs We Are Looking For Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field. Basic understanding of software development processes, data analysis and data pipelines. Interest in product management and agile software delivery (Scrum or Kanban). Strong analytical, organisational More ❯

office) About the Company/Role A global film/entertainment company is hiring a Data Analyst to join their London data function. This role sits within a collaborative analytics and engineering team, supporting reporting improvements and a migration to a more advanced BI platform. You’ll work cross-functionally with stakeholders across the business — from content and finance to More ❯

Prepare and deliver comprehensive technical updates and reports for stakeholders. Technical Expertise and Data Analysis Analyze electronically stored information (ESI) to identify patterns, anomalies, and relevant data. Utilize advanced analytics and AI tools, such as predictive coding and TAR, to enhance data review processes. Configure and optimize eDiscovery platforms to support client requirements and improve efficiency. Project Coordination Support project … Systems, or related field required. Experience: 5+ years of experience in eDiscovery or litigation technology, with demonstrated technical expertise. Skills: Proficiency in Relativity, Nuix, or similar platforms and advanced analytics tools. Strong problem-solving and analytical abilities. Effective communication and organizational skills. Ability to manage complex technical tasks and meet deadlines effectively. Other Supervisory Responsibilities: None. Equipment To Be Used More ❯

Scala (essential) Solid understanding of Apache Spark, Delta Lake, and distributed data processing concepts Hands-on experience with Azure Data Lake Storage Gen2, Azure Data Factory, and Azure Synapse Analytics Proficiency in SQL and Python for data transformation and pipeline logic Please note: you will be working in a US time zone. Please contract/01676545407 to discuss in more More ❯

Strong ETL design and hybrid cloud integration skills* Proficiency in Power BI and DAX for dashboard development* Solid understanding of KPI frameworks and dashboarding tools* Proven leadership in data analytics or BI, ideally in construction or project delivery environments* Strong communication and stakeholder engagement abilities Benefits:* Competitive bonus, pension, and private medical cover* Flexible working, generous leave, and wellbeing support More ❯

with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets More ❯

of Market Performance, you'll deliver data-driven insights that influence strategic decisions at the highest level. Role Summary You'll lead the development of management information (MI) and analytics that identify performance trends across syndicates, classes, and delegated authorities. Your work will directly support senior leadership with meaningful insights and high-quality reporting. Key Responsibilities Deliver timely, accurate MI More ❯

a Data Science Manager to lead personalisation efforts within its CRM ecosystem. The role sits in the Consumer Intelligence and Experience (CIX) team, which drives customer engagement through predictive analytics and insights across all brands and channels. You'll develop recommendation systems and predictive models that support global marketing and CRM strategies. Responsibilities Lead development of machine learning solutions for More ❯

competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions. The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how More ❯

with the ability to identify and prioritize fundamental and quantitative analysis/modelling that provides commercial insights to the trading organization. Strong communication skills with the ability to communicate analytics to necessary stakeholders and influence commercial decisions. Develop and implement fundamental balances, pricing models and other tools to surface commercial opportunities within the low-carbon, power, gas, and oil markets More ❯

edge, mission-critical programmes in a highly collaborative technical environment, this is an excellent opportunity. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

They are considering Data Engineers at all levels from Junior up to Principal Data Engineer. What You’ll Be Doing Designing and delivering secure, high-performance data pipelines and analytics platforms Working across AWS or Azure environments, building scalable, reliable data solutions Collaborating with cross-functional teams including engineers, data scientists, and architects Playing a hands-on role in end More ❯

reporting tools Work closely with the Stock Manager on project-based analysis and resolution of stock-related issues. Person Specification: Experience in stock analysis, inventory control, or supply chain analytics Strong Excel skills (pivot tables, formulas, Power Query, report automation etc.) Analytical mindset with the ability to interpret and present data clearly. Excellent organisational and communication skills Exposure to Power More ❯

skills. Insurance domain experience, particularly in Property & Casualty/General Insurance, is preferred. Prior client-facing experience and solution design expertise. What is nice to have? Exposure to data analytics and digital UX integration. More ❯

of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree in a logic- or analytics-oriented discipline such as Cognitive Science, AI, Mathematics, Information Systems, or Engineering. More ❯

analytical, and leadership skills. Desirable: Experience delivering strategic data solutions under uncertainty. DAMA accreditation (associate level or higher) or ability to achieve within six months. Exposure to AI, data analytics, or related technical domains. Experience influencing senior stakeholders across large organisations. If you’re a visionary data leader ready to shape the future of data strategy and governance, we’d More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

day IT operations, ensuring reliability, scalability, and performance across systems and infrastructure. Vendor & Budget Management : Lead vendor relationships, contract negotiations, and manage the IT budget to maximize ROI. Data & Analytics : Champion data governance, business intelligence, and AI-driven decision-making. Cybersecurity & Compliance : Ensure robust cybersecurity frameworks, risk management, and regulatory compliance. Team Leadership : Inspire and manage a skilled IT team More ❯

customers, to gather requirements and ensure alignment. Product Roadmap: Create and manage a comprehensive product roadmap, balancing short-term and long-term goals. Data-Driven Decision Making: Utilize data analytics to make informed decisions about product features and improvements. Quality Assurance: Ensure the quality of the product by defining acceptance criteria and conducting regular reviews. Requirements: Proven experience as a More ❯

with at least 5 years in a leadership role in a large organization. Experience in managing large-scale digital projects, including budgeting and resource allocation. Deep understanding of data analytics, business intelligence, cloud computing and infrastructure, cybersecurity, risk management, change management, and emerging technologies like machine learning, IoT, and AI. Able to make data-driven decisions and translate technology ideas More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯

planning, design, and implementation of enterprise systems, operational technologies, and digital platforms supporting rail operations, maintenance, and customer engagement. Drive innovation through emerging technologies such as AI, IoT, data analytics, and automation to enhance efficiency, safety, and sustainability. Oversee the management and modernization of IT infrastructure, cybersecurity, and data governance frameworks. Collaborate with executive leadership to identify technology-driven opportunities More ❯