426 to 450 of 13,737 Analytics Jobs

working across complex transformation programmes and directly with senior client stakeholders.The role will cover:• End-to-end data architecture across ingestion, processing, storage and analytics• Modern data platforms including Snowflake and Microsoft Fabric• Data engineering, ETL and scalable data pipelines• Conceptual, logical and physical data modelling• Cloud data architecture … Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT/Software Sales Internal Positions at Anson McCade ...

trusted advisors - shaping strategy, defining architectures, and leading transformation initiatives that enable our clients to harness data, from geospatial intelligence through to advanced analytics and AI. At Envitia, consulting is about more than delivery, it's about influence, impact, and long-term partnership. You'll be part of a growing … support tools and operational advantage. This is a hands-on delivery role working across a variety of client engagements, from machine learning and predictive analytics through to cutting-edge Generative AI applications. You will develop production-ready AI solutions, contribute to the evolution of our MLOps capabilities and reusable accelerators ...

analysis to non-technical audiences. Experience within insurance, financial services, regulated environments or high-volume B2C businesses would be advantageous. Exposure to NLP, text analytics, experimentation or A/B testing would also be beneficial. Package & Working Arrangements Initial 6-month contract. £500 - £550/day Outside IR35 Hybrid working … with 2-3 days per week onsite in Hampshire Opportunity to work on commercially impactful data and analytics initiatives within a growing, data-driven organisation. ShareForce is committed to creating an inclusive recruitment process. Applications are welcomed from candidates of all backgrounds who can demonstrate the experience and potential required ...

Design, build, and operate scalable and secure data platforms and data pipelines that support analytics, reporting, AI/ML, and self-service data across the firm. Duties include: 1. Develop and maintain reliable batch and real-time data pipelines and ETL/ELT workflows for ingesting, transforming, and delivering internal … include the following, which may have been gained concurrently: 1) 5 years of experience building and operating scalable data platforms and data pipelines for analytics and AI/ML workloads in a production environment; 2) 5 years of experience programming with Python, Scala, or Java; 3) 5 years of experience ...

first and foremost a data, AI and technology team, you should be comfortable working with large datasets, technical teams and modern analytics tools. As part of the central data, AI and technology team, you’ll have a chance to work across all divisions, including AMS, frontline labels, our catalogue division …/ELT processes and data quality. Working knowledge of Python or another programming language for analysis. Familiarity with Git, version control and modern analytics workflows. Good understanding of AI, machine learning concepts and their practical application. Ability to mentor others and raise the quality of analytical work across a team. ...

help build, optimise, and scale Clarion’s modern data platform. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products.This role is primarily focused on engineering excellence, developing high-quality pipelines … quality, lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold).Build and optimise Lakehouse data models to support analytics, reporting, operational workloads, and downstream product teams.Develop reusable frameworks for ingestion, validation, schema evolution, and monitoring.Ensure all solutions follow Databricks best practices around Unity Catalog ...

qualifications by reading the full overview of this opportunity below. You’ll be central to delivering a robust, high-performing engineering foundation that powers analytics, operational data flows, and future AI capabilities across our global events and digital products. This role is primarily focused on engineering excellence, developing high-quality … lineage, and governance standards aligned to Clarion’s Medallion Architecture (Bronze/Silver/Gold). Build and optimise Lakehouse data models to support analytics, reporting, operational workloads, and downstream product teams. Develop reusable frameworks for ingestion, validation, schema evolution, and monitoring. Ensure all solutions follow Databricks best practices around ...

architecture expertise to the digital transformation of our stakeholders' technology landscapes and ways of working. You may currently be a data architect, data engineer, analytics consultant, solution architect or enterprise architect seeking a new challenge. We welcome applications from creative, adaptable systems thinkers who are passionate about designing data‐centric … analytical capabilities. About You A degree in a science, computing or engineering subject, or equivalent experience. Proven experience as a Data Architect, Data Engineer, Analytics Consultant or similar role. Experience with data architecture frameworks and modelling techniques (e.g., DAMA, DCAM, TOGAF). Strong understanding of conceptual, logical and physical data ...

improvements in governance, and support refresh cycles, validation checks, and performance optimisation. AI, Automation & Continuous Improvement: Support AI-driven insights and automation in analytics and reporting. Reduce manual reporting and repetitive tasks, and work with teams to identify high-value opportunities to improve efficiency and insight. Stakeholder Collaboration: Work closely … reporting best practice Evidence of success in a similar role Desirable: Experience integrating data from APIs and cloud platforms Exposure to AI-driven analytics, automation, or advanced reporting Experience in commercial, operational, retail, logistics, or services-led environments Familiarity with cloud data platforms (Azure, AWS, GCP) and modern architectures Experience ...

technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author and maintain documentation to ensure analytical processes are repeatable, auditable, and scalable. Any other duties required … customer meetings across the UK as required. Security cleared or ability to obtain (SC or above). Desirable Skills and Experience: Degree in Data Analytics, Statistics, Computer Science, or related discipline (MSc desirable but not essential), or equivalent professional accreditation. Experience working within cross-functional teams including architects, engineers ...

technical stakeholders to inform strategy and operational improvements.Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics.Ensure analytics processes comply with security, governance, and regulatory requirements.Author and maintain documentation to ensure analytical processes are repeatable, auditable, and scalable.Any other duties required to meet the needs … programme and customer meetings across the UK as required.Security cleared or ability to obtain (SC or above).Desirable Skills and Experience:Degree in Data Analytics, Statistics, Computer Science, or related discipline (MSc desirable but not essential), or equivalent professional accreditation.Experience working within cross-functional teams including architects, engineers, and programme ...

stack. Using Apache Spark and PySpark for distributed data processing, Apache Airflow for orchestration, and a range of AWS services for storage, compute, and analytics, you will help deliver reliable, well-governed data assets to downstream users. You will apply strong data analysis skills to identify root causes of data … client-side encryption patterns within AWS. Work within IAM policies and data governance standards appropriate to a regulated government environment. Technical skills requiredLanguages & analytics Python - primary language for pipeline development and data processing SQL - used for querying, transformation, and validation across data stores PySpark - for distributed data processing using Apache ...

digital transformation of claims management and support new business initiatives to ensure that MR Claims achieve their Ambition 2030.Key Responsibilities: Data collecting, mapping, analytics and maintaining consistency across all clients’ data as well as making data accessible to internal partnersValidating metrics and data quality to ensure calculations are accurate; defining … prioritising backlogs and coordinating delivery with engineering, data and QAUsing statistical tools to interpret data sets, detecting trends and patterns for diagnostic and predictive analytics; proposing data-driven process improvementsWriting clear, testable acceptance criteria; thinking in test cases, edge cases and auditability for UAT and production readinessIdentifying pragmatic AI/ ...

dashboards to remove or consolidate content that is duplicated or no longer needed and support the controlled use of ServiceNow data by reporting and analytics platforms such as Power BI or Microsoft Fabric, keeping definitions, ownership and quality controls consistent when data is shared or extracted.Support the data quality … understanding of data models, data relationships, data ownership, authoritative sources and data-quality management.Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool.Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset and Service Level Management.Experience considering how data ...

dashboards to remove or consolidate content that is duplicated or no longer needed and support the controlled use of ServiceNow data by reporting and analytics platforms such as Power BI or Microsoft Fabric, keeping definitions, ownership and quality controls consistent when data is shared or extracted. Support the data quality … data models, data relationships, data ownership, authoritative sources and data-quality management. Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool. Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset and Service Level Management. Experience considering ...

strategic vision with hands-on delivery, ensuring solutions are secure, scalable, accessible, and aligned with meet business needs, maximising solution value. Strong management and analytics skills and clear communication are essential for this role, along with the ability to build sustainable and productive working relationships with Group business, market … priorities at once Functional Skills & Experience: • FTSE 100/Fortune 500 or similar experience with graduate level education • Good working knowledge of digital, data & analytics & AI technologies and cloud platforms • Very strong product and project management experience • Strong experience in agile and devops delivery - experience of using Azure, Fabric, Data ...

support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. Tripadvisor is looking for a Data Engineer II to join … data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring ...

dashboards to remove or consolidate content that is duplicated or no longer needed and support the controlled use of ServiceNow data by reporting and analytics platforms such as Power BI or Microsoft Fabric, keeping definitions, ownership and quality controls consistent when data is shared or extracted. Support the data quality … data models, data relationships, data ownership, authoritative sources and data-quality management. Experience of Power BI, Microsoft Fabric, SQL or another reporting and analytics tool. Good understanding of IT service management and how reliable configuration and service data supports Incident, Problem, Change, Asset and Service Level Management. Experience considering ...

query, and manage their data with efficiency and ease. You will work closely with people from a wide variety of domains: Product Data Scientists, Analytics Engineers, ML Engineers, MLOps, MarTech and other Data Engineering teams. You will help manage our growing data needs and support increasingly complex business problems … modern tooling such as Kafka, Terraform, Docker, and cloud‐native patterns Lead technical initiatives: Lead initiatives working with end users: data scientists, ML engineers, analytics engineers, product engineers and beyond to enable, support and accelerate their data needs, embracing a platform as product mindset Uphold operational excellence: building scalable services ...

define the architecture, standards and delivery patterns for a modern data platform that will enable trusted data use across products and support advanced analytics and AI. The Principal Data Architect will be the senior technical authority for data architecture within this strategic transformation. The role is architecture-led while remaining … have the mandate to make high-impact architectural decisions, work on complex technical challenges and influence how trusted data powers better customer experiences, advanced analytics and AI. The role offers meaningful visibility, broad collaboration and the chance to create capabilities that will scale across an evolving product landscape. Our Interview ...

expertise with Palantir Foundry and AIP . You will play a key role in designing, developing, and optimizing scalable data solutions, enabling advanced analytics, AI/ML initiatives, and business-critical decision-making. Working alongside data architects, product teams, and business stakeholders, you will help deliver enterprise-grade data products … platforms. Develop and manage data ingestion, transformation, and orchestration workflows within Palantir Foundry . Create and optimize Foundry datasets, pipelines, and applications to support analytics and AI-driven outcomes. Develop interactive business applications using Foundry Workshop , Slate , and custom front-end solutions. Build robust applications and integrations using TypeScript , Python ...

delegated authority oversight. Working across the business, you will help shape the future-state bordereaux data operating model, driving improvements in data quality, governance, analytics and automation. You will play a key role in developing a smarter, more efficient and insight-led approach to bordereaux management, helping to build … market-leading delegated authority data capability that differentiates Chaucer in the London market. Key Responsibilities Drive improvements in bordereaux data quality, governance and analytics, supporting Chaucer's ambition to create a market-leading delegated authority data capability. Contribute to the transformation of bordereaux data management by identifying opportunities to automate ...

place. The Role As a Data Architect, you will be responsible for designing, deploying, and governing modern data architectures that support enterprise-scale analytics, reporting, and operational use cases. You’ll define how data is stored, integrated, accessed, and secured across systems — aligning data strategy with business priorities. You will … modeling standards, and enable seamless integration across the enterprise. Your work will ensure data integrity, security, and usability, serving as a foundation for advanced analytics and AI initiatives. What You’ll Do Develop and maintain enterprise data architecture, including models, flow diagrams, and integration frameworks Define and enforce architecture standards ...

associated technologies and methods Understanding and Management of Machine Learning and associated technologies and methods Understanding and Management of General AI techniques, data analytics (e.g. predictive), NLP etc. Lead (direction) and manage the end-to-end lifecycle for development and deployment of advanced AI, and specifically: The management of people … other lines of business so that corporate AI capability is advanced. Support workshops, discovery activities and requirements gathering. Be adept with both Predictive Analytics environments as well as ML Classifiers. Develop solutions for, and in deploying on, public and private cloud technologies, particularly Azure or AWS. Manipulate, process, and extract ...

enabling the AI-empowered workforce of tomorrow, you’ll be working at the cutting edge of what’s next. DESIGN next-generation data, analytics and AI platforms – design and implement scalable, secure and cost-efficient platforms that power operational and analytical workloads leveraging leading cloud technologies (AWS, GCP, Azure). … best practices for security, IAM, encryption and data protection. INNOVATE with data-driven solutions – create Proof of Concepts and Minimum Viable Products for advanced analytics and AI platforms, ensuring alignment with enterprise objectives and measurable business value. AUTOMATE for speed and reliability – build and streamline data pipelines, infrastructure provisioning ...