1,976 to 2,000 of 9,874 Analytics Jobs

evidence, concentration indicators Conceptual understanding of Procurement/Real Estate and associated data domains preferred Demonstrable experience in a data-related role (data product, analytics, data operations, data engineering, MI delivery) with ownership of outcomes Strong capability in requirement gathering & analysis , stakeholder engagement, and use case management, able to move … communicate through clear narratives and practical value cases, comfortable presenting solutions to technical and non-technical stakeholders Technical literacy, confidence working with SQL, python, analytics tooling, experience with cloud data platforms (GCP, Big Query ...

implications of new systems, cloud services, integrations, technology changes and project initiatives. Support the architecture of enterprise data platforms, including data storage, processing, integration, analytics and information exchange capabilities. Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements … Microsoft Azure cloud architecture and its role within an enterprise technology environment. Understanding of Azure data architecture, including data platforms, storage, processing, integration and analytics services and their relationships with applications, identity, security and networking. Ability to assess the implications of Azure and cloud-based solutions for enterprise data, applications ...

implications of new systems, cloud services, integrations, technology changes and project initiatives. Support the architecture of enterprise data platforms, including data storage, processing, integration, analytics and information exchange capabilities. Maintain traceability between requirements, data, applications, technologies, integrations, work packages, deliverables and implementation milestones. Capture and structure architecture and data requirements … Microsoft Azure cloud architecture and its role within an enterprise technology environment. Understanding of Azure data architecture, including data platforms, storage, processing, integration and analytics services and their relationships with applications, identity, security and networking. Ability to assess the implications of Azure and cloud-based solutions for enterprise data, applications ...

evidence, concentration indicators Conceptual understanding of Procurement/Real Estate and associated data domains preferred Demonstrable experience in a data-related role (data product, analytics, data operations, data engineering, MI delivery) with ownership of outcomes Strong capability in requirement gathering & analysis , stakeholder engagement, and use case management, able to move … communicate through clear narratives and practical value cases, comfortable presenting solutions to technical and non-technical stakeholders Technical literacy, confidence working with SQL, python, analytics tooling, experience with cloud data platforms (GCP, Big Query) #J-18808-Ljbffr ...

mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP’s next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé … mission is to help the innovation community make better decisions faster, with greater confidence, combining the world’s most trusted patent data with sophisticated analytics, AI‐powered insights, and purpose‐built workflows. Protégé in PatentSight is LNIP’s next‐generation agentic AI assistant, purpose‐built for strategic patent analysis. Protégé ...

with employer needs, industry developments and emerging AI technologies. About You Essential Experience delivering and coaching learners within apprenticeship programmes Advanced knowledge of Data Analytics, Artificial Intelligence, Automation and Digital Technologies Experience managing learner caseloads and conducting progress reviews Experience undertaking Internal Quality Assurance activities within apprenticeship provision Strong understanding … equivalent Recognised Teaching, Training or Assessing qualification (AET, PTLLS, Cert Ed, PGCE, CAVA, TAQA or A1) Degree-level qualification (or above) in Data Analytics, Data Science, Artificial Intelligence, Computer Science, Machine Learning or a related discipline Interested? This is a fantastic opportunity to join a forward-thinking training provider ...

Monzo to Make Better Decisions, Faster At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise … following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science Go to write our application code AWS for most ...

systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI and better business … field Strong technical background covering database replication, cloud infrastructure and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical ...

BASED: UK, Germany, Spain or Italy. About the job you are considering Capgemini's Insights & Data practice helps leading organizations harness data, AI, and analytics to drive innovation, efficiency, and transformation. As part of the Scale Agentic Squad, the AI Growth Leader will play a critical role in accelerating … clients unlock tangible business value through AI-led transformation. Develop and execute account-based growth strategies focused on AI, Generative AI, Agentic AI, Data & Analytics, and Digital Transformation opportunities. Build and maintain trusted relationships with C-suite executives, business leaders, and technology stakeholders across strategic client accounts. Identify, qualify ...

flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey. We are a 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 … house Talent Acquisition team will only ever come from our contentsquare.com or ----- domain. For more information, visit our careers blog. As a Product Data Analytics Director, you will lead and develop a team of four analysts dedicated to our core product for all sales-driven business (another data analytics manager ...

with the Marketing, Finance, Trading and Product teams. Understand their core business problems and translate them into robust analytical projects and briefs. Diagnostic & Prescriptive Analytics: Move beyond the dashboard. Use advanced techniques (e.g., causal inference, churn propensity, cohort analysis, customer value modelling) to identify the true drivers of customer acquisition … baseline. You should have experience with large-scale data environments [ e.g. Snowflake, Databricks or BigQuery], visualization tools (e.g. Tableau) and digital analytics [e.g. Amplitude, Adobe or Google Analytics]Trusted Advisor Exceptional ability to "translate" technical findings for C-suite and non-technical stakeholders. You don't just present data ...

ACCA, CPA, CIMA, CFA or an MBA in Finance. Technical Capabilities ERP: SAP S/4HANA, Oracle Cloud, Workday Finance, Microsoft Dynamics Analytics: Power BI, Tableau, Alteryx, Anaplan Automation: UiPath, Automation Anywhere, Power Platform AI/GenAI: Intelligent automation, agentic AI, document processing, advanced analytics Leadership Competencies Executive presence ...

Description Commercial Data Scientist/Data Analyst - FTC ( 17252 ) Description Commercial Data Scientist/Data Analyst - 12 month FTC easyJet Commercial Analytics We are easyJet – a FTSE-250 listed, £multi-billion low-cost airline that serves tens of millions of customers every single year. If you’re reading this … easyJet? Our Promise Behaviours – we are Safe, Bold, Welcoming and Challenging. Four Behaviours. One Spirit. One easyJet. The Opportunity Join easyJet's Commercial Analytics team and shape the future of revenue management at scale. We're building next-generation pricing and optimisation systems that directly drive business performance across ...

prioritize capabilities, ensure backlog quality, and define non‐functional requirements (resilience, controls, scalability). Align data strategy (sources, lineage, quality, governance) to enable analytics and model deployment. Operating Model, Governance, and Controls Run execution cadence (quarterly strategy reviews, monthly performance packs) and maintain decision/risk/issue registers. Coordinate … accountability for data quality, rules, and exception outcomes—issues surface because controls worked. Stay Curious: Continuously explore AI and analytics to enhance reconciliations; test, learn, and iterate. Thrive Together: Collaborate across stakeholders and share knowledge; build trust and momentum. AI Literacy: Apply agentic AI/ML where feasible; design ...

Analytium Ltd is a boutique UK data and analytics consultancy focused on SAS modernisation, cloud data platforms, and BI, delivering enterprise programmes for major clients including a UK tier-one bank. We win that work because we build our own accelerators rather than throwing people at problems. We have built … genuinely good analytics accelerator that parses SAS estates, builds table and attribute-level lineage across hundreds of thousands of records, and reconciles migrations. It lives on a laptop. It is not deployed, not shareable, and the interface does not do the engineering underneath it justice. This person fixes that ...

Assurance. You will lead colleagues within your sub-team, strengthen data ownership and quality, and embed practical governance across Data Products, modern data platforms, analytics and AI-enabled change. Substantial Data Governance experience, sound judgement and stakeholder influence are essential. Responsibilities Portfolio Leadership and Delivery Lead one or more core … controls, translating them into procedures and decision routes teams can apply consistently. Embed governance requirements in Data Products, change initiatives, modern data platforms, analytics and AI-enabled use cases, including input to data models and integrations. Shape governance tooling and automation where processes and accountabilities are clear. Data Quality, Ownership ...

Lead Pricing Data Analyst within the Data & Analytics team, you’ll play a key role in shaping the pricing strategy for Barclaycard Payments’ . You’ll combine data-driven insight with commercial understanding to support pricing decisions that drive growth, profitability, and customer value. Working closely with stakeholders across Product … Finance, Commercial, and Analytics teams, you’ll help develop and refine pricing approaches that ensure the business remains competitive in a dynamic payments market. You’ll be responsible for the creation, development, and maintenance of pricing models, using deep analysis of customer behaviour, transaction trends, and competitor activity to generate ...

reliable reporting, data quality, master data principles and responsible use of AI where there is a clear business benefit. You will assess where AI, analytics or automation can improve customer experience, colleague productivity, operational efficiency or decision-making, while ensuring solutions remain secure, explainable, supportable and aligned to Fortnum & Mason … environment or leading management consultancy, ideally covering several of the following domains: retail, hospitality, supply chain operations, eCommerce, customer platforms, enterprise applications, data and analytics, integration, cloud services, finance, HR or other central services. TOGAF certification or practical experience using recognised architecture frameworks, design governance, architecture principles and structured decision ...

exciting time of Change and Transformation. Reporting to the Credit Risk Manager and working closely with the Director of Credit Risk and Data Analytics, this is a unique opportunity to become one of the key architects of our future decisioning and risk management framework. What You’ll Do. … improve lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders across ...

opportunity with a leading client in Chiswick, West London.## Requirements* 8+ years of experience in solution architecture, with a focus on data management, data analytics, and enterprise-scale applications involving large-scale data systems* Strong product understanding and knowledge of product lifecycle* Expertise in cloud technologies (AWS preferred), microservices architecture … methodologies* Understanding of architecture design patterns and practical application in large-scale systems* Knowledge of enterprise data management frameworks, data warehousing strategies, and data analytics systems* Proficient in .NET development and framework utilisation to build scalable, maintainable, and performant enterprise applications* Skilled in designing and implementing event-driven architectures that ...

elements with a significant impact on the company’s growth. What you’ll do Shape the architecture of data products designed for: data analytics forecasting feature engineering customer behavior analysis integration of new data sources Data Transformation & Governance Lead best practices in: data modelling performance optimization data governance consistent available … batch processing distributed data processing Experience with technologies such as: Kafka Flink Spark Databricks experience is a plus Experience implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency ...

cornerstone of our founding team. Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm specializing in data, analytics, and AI consulting — dedicated to transforming data into business impact across the entire value chain of organizations. We don't just advise; we build, implement … quantitative field) is a significant asset 3–5 years of full-time experience in one or more of the following: consulting, data/analytics, marketing, advertising, finance, or tech — with a clear track record of client‐facing delivery and independent problem‐solving Exceptional verbal and written communication skills ...

safeguarded. Why be the Data Engineering Lead at THG? THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three … platform and first‐layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high‐quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define ...

About the Role Grade Level (for internal use): 09. The Team: S&P Global (SPGI) is a leader in credit ratings, benchmarks and analytics for the global capital and commodity markets. Reporting to the Director for Internal Audit, you will be part of a diverse Internal Audit team with coverage … effective remediation. Build and maintain productive working relationships with business unit management, acting as a trusted, objective advisor while maintaining independence. Leverage data analytics, automation, and emerging technologies to enhance audit efficiency, coverage, and insight. Contribute to the continuous improvement of Internal Audit practices by staying current on audit standards ...

whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products … with regulatory developments, industry standard methodologies, and emerging data trends Collaborate with your team and partners to improve scoring models with automation and predictive analytics Present findings and recommendations to senior leadership and internal partners Showcase clear progress with clear critical metrics Partner with Product and Engineering to ensure deliverables ...