876 to 900 of 13,153 Analytics Jobs

/in-transit encryption, structured logging, automated audit trails, and strict access controls (RBAC, ABAC, and row/column-level security). Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases. Required Technical Skills Cloud Platform & Fabric: 3+ years … SparkSQL) and Python (PySpark). Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview. Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud ...

pipelines on Cloud projects. You are encouraged to devise innovative architectural solutions to help our clients address their biggest data challenges, including developing modern analytics platforms.In your role, you will have responsibility for architectural integrity, technical strategy, and client stakeholder engagement, delivering solutions for our clients using agile methodologies. … emerging open-source and proprietary data technologies, assessing their architectural fit, strategic value, and potential impact.Drive the architectural vision for our market-leading analytics and cognitive offerings, contribute to technical solutioning in proposals, and significantly shape the growth of our Strategy, Governance & Architecture community.Provide architectural oversight, technical and engineering governance ...

measurable business value.WHAT YOU'LL BE DOING:AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges.Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience.Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic workflows.Evaluate … making.WHAT YOU'LL BRING:Essential ExperienceDemonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment.Strong experience applying statistical modelling, predictive analytics and experimentation techniques.Experience working with structured and unstructured data at scale.Proven ability to translate business problems into measurable analytical outcomes.Experience taking models from development into ...

Enablement is a senior leadership role responsible for the engineering and enablement functions that underpin Security Operations. This includes ownership of Data Engineering, Data Analytics, and SIEM/SOAR engineering capabilities, ensuring that platforms, data pipelines, and automation solutions effectively support detection and response outcomes. This role manages a global … align engineering delivery with broader strategic objectives.What you'll need to succeedOwn and lead the Security Operations Enablement function, covering Data Engineering, Data Analytics, and SIEM/SOAR engineeringDefine and deliver the strategic roadmap for Security Operations platforms and capabilities, ensuring alignment with organizational cyber defense prioritiesManage and develop ...

productively while validating and owning everything it produces. Nice to have, but not essential Experience working closely with Data Engineering, Data Architecture or analytics teams. Practical understanding of data modelling, data quality, lineage, data contracts or transformation pipelines. Experience building reliable ingestion or integration workflows, event-driven services or messaging … your communication. Application and data integrations have clear ownership, interfaces and failure behaviour. Data-dependent features work coherently from source system through to analytics and customer experience. The tools and ways of working C# and .NET for services, APIs and application development. Strong SQL and relational data stores, with ...

value. WHAT YOU'LL BE DOING: AI & Machine Learning SolutionsDesign, build and deploy machine learning models to solve operational and business challenges. Develop predictive analytics capabilities focused on incident prevention, service health, operational risk and customer experience. Support the development of Generative AI applications leveraging LLMs, retrieval systems and agentic … BRING:Essential ExperienceDemonstrable experience delivering machine learning or AI solutions within a large-scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable analytical outcomes. Experience taking models from development ...

role in identifying opportunities that influence critical commercial decisions. What You'll Be Doing As our Merchandise Analyst, you'll use advanced analytics and commercial insight to help maximise product performance and unlock growth opportunities across the business. Your responsibilities will include: Delivering insightful hindsight, line planning, and in-season … curious analyst who combines strong technical capability with the confidence to challenge, influence and recommend change. You'll ideally bring: Experience in a retail analytics, merchandising or commercial analysis environment. Advanced analytical skills with tools such as Power BI, Tableau, Fabric, SQL, Python or similar. Excellent Excel capabilities, including Pivot ...

building and maintaining a robust digital data infrastructure. This position supports data users across the business, ensuring high-quality data extraction, reporting, and analytics capabilities. Working closely with the IT Manager and various business units, you will help strengthen compliance and regulatory risk management through effective management information (MI) reporting … Coming from an IT support function is a bonus Data Analysis and Management Maintain and develop SSIS packages Perform ad-hoc data extraction and analytics based on requirements from business Develop data visualisation for business Work with business to enhance the data available to the data warehouse Assist in testing ...

crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/… data privacy, security, and regulatory requirements. Support audit and risk management activities related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize ...

controls, and data quality.Required Qualifications, Capabilities, and SkillsBachelor's degree or equivalent experience.Experience within financial services, supporting Treasury, Regulatory Reporting, Risk Management, Finance, Data Analytics, or Change Management functions.Experience supporting regulatory change initiatives, audit engagements, regulatory interactions, or complex data-driven processes.Strong analytical and problem-solving skills with the ability … tools such as JIRA and Confluence.Experience using SQL, Python, Snowflake, or cloud-based data platforms.Interest in applying AI and automation to improve reporting, analytics, and business processes.Experience with Tableau, Alteryx, or similar analytical tools.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world ...

achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules. Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform. Support for the live … automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric ...

achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules. Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform. Support for the live … automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric ...

quality. Required Qualifications, Capabilities, And Skills Bachelor's degree or equivalent experience. Experience within financial services, supporting Treasury, Regulatory Reporting, Risk Management, Finance, Data Analytics, or Change Management functions. Experience supporting regulatory change initiatives, audit engagements, regulatory interactions, or complex data-driven processes. Strong analytical and problem-solving skills with … such as JIRA and Confluence. Experience using SQL, Python, Snowflake, or cloud-based data platforms. Interest in applying AI and automation to improve reporting, analytics, and business processes. Experience with Tableau, Alteryx, or similar analytical tools. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

sound architecture decisions. Demonstrated experience with AI/ML technologies, including LLMs, Retrieval Augmented Generation (RAG), agentic workflows, Natural Language Processing (NLP), and predictive analytics, and the discipline to run them reliably in production. Track record of building on shared enterprise data platforms (for example Snowflake) and delivering through modern … capability. Lead the forward‐engineering central team and its hiring, and capability development. Platform partnership. Establish the rent‐not‐build partnership with the Data & Analytics organisation and the shared‐service model that serves Risk and Compliance. Delivery. Deliver priority data products and automation. Operating disciplines. Own the data‐product operating ...

compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Department: Technology Employment Type: Permanent Location: Cardiff … compliant. As a global leader in contractor and supply chain risk management, our SaaS platform simplifies contractor onboarding, credentialing, and compliance while providing powerful analytics and insights. Beyond software, we offer expert support, training, and consulting so our clients can operate with confidence. Together, we’re making workplaces safer every ...

Record (EPR) implementation programme by providing high-quality analytical insight, reporting solutions and data expertise. Working as part of the Trust's intelligence and analytics function, the postholder will support analytical workstreams aligned to clinical and operational domains, developing a deep understanding of services, pathways and organisational data to design … days per week. Person Specification Qualifications and Training Essential Degree-level education or equivalent experience. Evidence of continuing professional development Desirable Relevant qualifications in analytics, data science or related field Awareness of project management (PRINCE2/Agile) Awareness of lean/Six Sigma Experience Essential Experience in an analytical ...

maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. … Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to improvements in our data systems and tooling. Collaboration & Delivery Work with teams across the business to understand ...

secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.While this role doesn't involve line management, you'll be expected to contribute to technical … code.Platform & ArchitectureDesign, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.Collaboration & Delivery Partner ...

secure data systems, while supporting the wider team through knowledge sharing and collaboration. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. While this role doesn't involve line management, you'll be expected to contribute … ArchitectureDesign, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs. Collaboration ...

maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.AI is central to how we work at Zego, and that extends to engineering. … sharing.Platform & DataBuild and maintain data pipelines, warehouses, and streaming systems within our existing architecture.Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to improvements in our data systems and tooling.Collaboration & DeliveryWork with teams across the business to understand requirements and turn ...

maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. … DataBuild and maintain data pipelines, warehouses, and streaming systems within our existing architecture. Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases. Contribute to improvements in our data systems and tooling. Collaboration & DeliveryWork with teams across the business to understand requirements ...

Spark) for large scale distributed data processing workloads. Familiarity with Looker or similar BI tooling, and an understanding of how data models feed downstream analytics and reporting. Exposure to analytics engineering practices and tooling (e.g. dbt conceptual patterns, data contracts, semantic layers). Experience in e-commerce or retail data ...

partnering with engineering leads and other stakeholders, you will enable teams to access high-quality, reliable and governed data. You will foster advanced analytics, AI and data product development. Your role will drive data ownership, continuous improvement in data infrastructure and governance, ensuring high standards of data quality, governance … product performance to stakeholders, highlighting successes and areas for improvement. Data-Driven Decision Making: Use data to inform product decisions, leveraging customer insights, analytics and experimentation to validate assumptions and prioritize the right features. Collaboration with Engineering Leads Strategic Alignment: Partner with engineering leads to ensure product strategies are technically ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...

influencing how data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … Spark and Beam Lead the implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt ...