776 to 800 of 1,370 Remote/Hybrid Analytics Jobs

data estate. You'll play a key role in designing and building scalable Azure data solutions, developing robust data pipelines, and supporting a growing analytics platform. Working across Azure Databricks, Data Factory, Synapse Analytics and Azure SQL, you'll help deliver reliable, secure and high-performing data solutions while collaborating … best practice across the platform Contribute to the continuous evolution of the Azure data platform Key experience: Azure Databricks Azure Data Factory Azure Synapse Analytics Azure Data Lake Storage Advanced SQL and Python CI/CD with Azure DevOps Strong stakeholder engagement and communication skills What's on offer: Flexible ...

Provide ongoing reporting support, resolving data issues and collaborating with stakeholders to enhance datasets and reporting capabilities Qualifications 35 years of experience in commercial analytics, BI, or analytics engineering Strong end-to-end data skillset, from SQL-based modelling to Power BI report delivery Proactive, independent problem solver with ...

BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products – curated, well‐documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores … forecasting Evaluate and integrate AI‐assisted data tooling (AI‐powered cataloguing, natural language querying, automated data quality) where it accelerates productivity Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices Work hands‐on across multiple product teams as a data authority, balancing strategic ...

architecture or leadership roles. Key Responsibilities Design, develop and maintain data pipelines using Azure Data Factory and Azure Databricks . Build data models and analytics solutions using Synapse Analytics and Azure Data Lake Storage . Develop and optimise ETL/ELT processes. Work directly with clients to understand requirements … best practices. About You You'll have: Strong experience with Microsoft Azure Data Engineering . Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics and Data Lake Storage . Development experience in Python, Scala or SQL . Knowledge of data modelling and analytics solutions. Excellent communication skills and experience ...

with deep expertise in the Insurance industry to design, develop, and govern enterprise data models supporting policy administration, claims, underwriting, reinsurance, actuarial reporting, customer analytics, finance, and regulatory compliance initiatives. Hybrid working: The places that you work from day to day will vary according to your role, your needs … Data Quality Rules Support governance and regulatory compliance initiatives. Conduct impact analysis for data model changes. Ensure enterprise data consistency and integrity. Data Platform & Analytics Support Work with ETL/ELT teams on source-to-target mappings. Optimize data models for reporting, analytics, and business intelligence workloads. Your Skills: Data ...

unlock value through trusted, data-driven decision making. Our teams help clients establish secure, scalable, and governed data platforms that support enterprise-wide analytics, artificial intelligence, and digital transformation initiatives. This role offers the opportunity to help shape one of the most significant public sector data modernization programs … establishing a Databricks-based Lakehouse platform on AWS that will become the strategic foundation for future data and analytics capabilities. About the Role As a Data Platform Architect – Databricks (AWS) , you will lead the architecture and design of a modern enterprise data platform built on Databricks and AWS. You will ...

multiple offices around the UK) £80-£90k + Bonus and wider benefits We're recruiting for a Data Enrichment Manager to join a growing analytics function, leading a team focused on extracting greater value from data and helping drive commercial decision-making. This is a fantastic opportunity for someone with … datasets into business insights. You'll play a key role in shaping the organisation's data enrichment strategy while working closely with teams across analytics, technology, operations, and commercial functions. Duties of the Data Enrichment Manager: Leading, mentoring, and developing a high-performing data team. Identifying and evaluating new internal ...

noting that you will be unable to work at home 100% of the time. Your Role: Manage largescale data programmes Data Lake Data Warehouse Analytics AIML aligned to insurance business objectives Oversee delivery of multiproject portfolios across policy claims underwriting and customer data domains Collaborate with business and IT stakeholders … IRDAI Solvency II GDPR Manage programme budgets timelines risks and dependencies Ensure integration of core insurance platforms Guidewire Duck Creek etc with data and analytics ecosystems Lead cross functional teams including data engineers architects and analysts Your Skills: 10 years of programme project management experience with strong focus on data ...

This is a fantastic opportunity to join a purpose-driven organisation where you can take ownership of building and developing a modern cloud-based analytics platform that supports data-driven decision-making across the business. THE COMPANY: Operating at the heart of the music industry, you will be part … impact. THE ROLE: Key responsibilities include: Designing, building and maintaining scalable data pipelines and integrations. Developing robust ETL and data transformation processes to support analytics and reporting requirements. Working with Snowflake, DBT, Apache Airflow, AWS, SQL and Python to deliver high-quality data solutions. Collaborating with Data Architecture, DevOps ...

including maintaining close collaboration with the European Market and Consumer Intelligence team Promote a data-driven culture by encouraging effective use of reporting and analytics, monitoring report adoption, and supporting business users in leveraging data effectively Continuously identify new data sources, analytical approaches, and emerging technologies in BI, analytics ...

scale intelligent data platforms, modernise legacy environments, and embed AI capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable … with Infrastructure-as-Code, DevOps and CI/CD automation A strong consulting background with excellent stakeholder management skills A solid understanding of data, analytics and AI technologies Excellent analytical, problem-solving and communication skills Experience within sectors such as the UK Public Sector, Financial Services, Telecommunications or Retail would ...

modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players … your expertise in experimentation, causal inference and applied data science. What You’ll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation ...

improve data quality, ownership, standards and governance across the organisation. You'll help build a modern data culture while supporting exciting initiatives around analytics, AI and enterprise data platforms. Data Governance Analyst Responsibilities Support the implementation and continuous improvement of the organisation's data governance framework, policies and standards. Maintain … Hybrid working. Annual bonus. Excellent pension contribution. Private healthcare and additional wellbeing benefits. Opportunity to work with modern data technologies supporting enterprise analytics and AI. Long-term career development within a growing data function. Exposure to senior stakeholders and enterprise-wide transformation initiatives. A collaborative culture that encourages innovation, continuous ...

root causes are managed effectively with clear accountability, remediation and compliance with agreed SLAs. Lead the delivery of corporate and critical reporting and analytics through the Fabric Group Data Platform, embedding governance, stewardship and ownership for critical metrics, datasets and reports, with particular focus on executive-level reporting needs … delivering measurable business value. Strong problem-solving skills and experience developing iterative solutions. Current knowledge of industry trends, tools and best practices within BI, analytics and reporting. Highly collaborative, with a partnership-driven approach. Proactive and accountable, taking ownership of issues through to resolution. Comfortable operating across both legacy ...

leadership teams Improve data quality and consistency, working closely with central data and BI teams Translate business requirements into practical, scalable reporting and analytics solutions Collaborate with Retail, Commercial, Finance, Digital and Technology teams to enhance reporting, forecasting and adoption of self-service tools We're looking for someone … Experience in retail or multi-site environments Exposure to data modelling, data warehousing or additional BI tools (e.g. MicroStrategy) Degree in Data Science, Business Analytics or a related field What you'll get from us Joining our team means more than just getting paid a salary, it's about being ...

role is part of the risk management team but also interacts with GTIL technology and member firms. The analyst supports reliable reporting, problem solving, analytics, regulatory compliance, and decision‐making. This role needs to have an understanding of data pertaining to the risk management function. Key attributes will include: Data … Work to prioritize and resolve data quality issues Translate technical issues into business-impact language Provide advisory support on data quality impacts to reporting, analytics, and decision-making Support organizations and perform documentation and training requests Reporting & Documentation Develop and maintain data quality reports, issue logs, and remediation status updates ...

alignment with policy and operational feasibility. Leverage data to segment and profile customer behaviour, generating actionable insights that drive strategic decision-making. Partner with analytics and MI teams to define data requirements, validate assumptions, and deliver robust, reproducible insights. Identify and quantify optimisation opportunities across channels, including digital self-serve … risks, and continuously improve collections performance through test-and-learn approaches. Who you are Experience in collections, credit, payments strategy, operational MI, or commercial analytics (telecom/financial services preferred). Strong analytical skills in segmentation, profiling, trend analysis, hypothesis testing, and insight delivery. Proficient with data tools: Excel ...

operate at the cutting edge of intelligent enterprise evolution. We DESIGN intelligent, agent-ready platforms – Architect and deliver scalable, secure, and cost-efficient data, analytics, and AI ecosystems that support both human and autonomous agent workloads, leveraging leading cloud platforms (AWS, Azure, GCP). We ENABLE agentic and hybrid cloud … including identity, access, encryption, and data protection. We INNOVATE with agent-driven solutions – Develop Proof of Concepts and MVPs that incorporate autonomous agents, advanced analytics, and AI capabilities, aligned to enterprise outcomes and measurable business value. We AUTOMATE through intelligent systems – Build and orchestrate self-optimising data pipelines, infrastructure ...

Certified Practitioner (FinOps Foundation) Foundational understanding of generative AI, large language models and cloud-based AI services. Background or interest in financial analytics, technology cost management, cloud economics or AI cost optimisation. Experience using MS Excel, Power BI, reporting tools or dashboarding capabilities. Ability to analyse usage and cost data … technology consulting or a related field. It would be a bonus if you have: Exposure to FinOps for AI, AI cost management, AI product analytics or model usage reporting. Understanding of token-based pricing concepts, including input tokens, output tokens, context windows, embeddings and API calls. Experience supporting workshops, client ...

affect a portfolio, and related trends/changes within the competitor landscape. Your Team Our team combines portfolio steering expertise with advanced catastrophe risk analytics to drive informed decision-making across our Marine line of business. We are responsible for strategic portfolio monitoring, natural catastrophe and terrorism portfolio modelling, accumulation … portfolio management and data quality improvements. What You'll Bring to the Role Experience in CAT risk management and catastrophe modelling. Experience in CAT analytics within a catastrophe modelling vendor, insurer, or reinsurer. Hands-on experience with CAT modelling tools. Excellent communication skills, strong attention to detail, and a collaborative ...

Training to support your career development and the skills demand within the company, certifications etc. You will join a rapidly growing team of data, analytics and AI architects and engineers, united by a shared mission: to design and deliver next-generation data platforms that power business transformation. We build … through hands-on development or strategic project exposure, you can confidently engage with AI concepts and tools. Technology & Consulting Experience · Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years ...

Settlements Operations team is currently recruiting for a Product Development VP. This leadership role is critical to our transformation agenda, responsible for leveraging data analytics to redefine our OTC Settlements and Payments operating model. The successful candidate will spearhead data-driven initiatives to deliver tangible control enhancements and significant commercial … reporting control issues with transparency and create accountability with those who fail to maintain these standards. What we'll need from you: Data Analytics & Process Mapping:Extensive, relevant experience in applying data analytics and process mapping to drive business transformation and strategic change. Operations or technology experience, with a strong ...

Adaptive & Co is a digital analytics and performance marketing consultancy and a Certified Google Marketing Platform Partner with teams across the US, Europe, Africa, and Asia. We work with global brands across E-commerce, B2B SaaS, travel, financial services. retail, and education on measurement strategy … server-side), CMP and consent, analysis, data visualization, paid media measurement, and training. The Role We're hiring a Senior Analytics & Measurement Consultant to own client engagements as the senior analytics voice in the room. The split is roughly 70% strategy and consulting, 30% guiding implementation - not building containers ...

transformative medicines for people with serious diseases. Role Summary Vertex is seeking an International Commercial Data Manager to support the development of commercial AI analytics solutions and tools across International Markets on a 6-month contract basis. This role will manage and optimize data used for AI initiatives, with … semantic model input, effective user acceptance testing, and support for AI implementations where relevant. Key Responsibilities: Define business and data requirements for commercial AI analytics and AI tools. Partner with global, regional, and local stakeholders to identify use cases and market data needs. Translate business needs into clear technical requirements ...

opportunity has arisen for a Risk Analyst to join a leading global energy trading organisation based in London. This role since within the analytics team which constantly strives to improve risk procedures through automation, therefore a significant aspect of the role would be to contribute to the development of software ...