1 to 25 of 45 Remote/Hybrid Analytics Jobs in South Wales

Looking For Essential Experience Proven experience as a Data Architect delivering Azure-based data platforms Strong background designing enterprise-scale data warehouse and analytics solutions Extensive experience with: Azure SQL Azure Data Factory Power BI Azure DevOps Experience delivering greenfield data platform implementations Strong understanding of dimensional modelling and modern ...

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 ...

GDPR. Desirable: Microsoft Certified: Azure Database Administrator Associate (DP-300) Microsoft Certified: Azure Data Fundamentals (DP-900) Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Azure security knowledge or AZ-500 certification Experience with Microsoft Fabric/Power BI Security Clearance Candidates must be eligible to obtain UK Security Check ...

solutions on Google Cloud Platform (GCP).· Proven track record of successfully delivering large-scale, complex Google Cloud projects across various domains (e.g., data analytics, application modernisation, infrastructure, security).· Experience working in a technical pre-sales capacity, producing bid documentation, RFIs, RFPs and participating in technical bid presentation· Technical ...

targets, and leading pursuit teams from executive relationship development through to proposal, negotiation and close.Building and scaling market-facing offerings (including GenAI and advanced analytics), defining value propositions, pricing approaches and delivery models, and partnering with alliance and engineering leaders to industrialise solutions.Operating as a senior trusted advisor ...

Python, Tableau, Power BI - the full analyst toolkit 8 to 10 real-world industry project simulations - actual analyst work, not theory AI-assisted analytics training - the fastest growing skill in data right now Weekly live practical sessions with industry mentors 1-to-1 mentor support throughout CV, LinkedIn, and interview ...

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 infrastructuredbt and BigQuery SQL for our data modelling and warehousingPython for data science and machine learningGo to write our application codeAWS for most ...

Design and implement robust ETL/ELT frameworks for ingesting, transforming, validating, normalising, and cleansing data. Develop and maintain scalable data pipelines to support analytics and operational decision-making. Implement data quality controls and prepare datasets for reporting and visualisation. Design and maintain data models to support analytical and operational … data workflows to improve performance, reliability, scalability, and cost efficiency. Evaluate emerging data technologies and identify opportunities to improve engineering capabilities. Contribute to data analytics and visualisation strategies. Present technical findings and recommendations to customers and stakeholders. Work collaboratively with technical and non-technical teams throughout the project lifecycle. About ...

strategic decision-making and operational performance. The role combines leadership of data engineering capability (including the data lake, pipelines and environments) with ownership of analytics and reporting outputs, ensuring data is transformed into accessible, trusted and actionable insight for the business. Reporting to the Chief Innovation Officer, the postholder will … data environment to meet evolving business needs. * Work closely with technology and architecture teams to ensure alignment with broader IT and digital strategy. Analytics & Business Insights Delivery * Lead the development of business-ready data models, table structures and curated datasets to enable effective reporting and analysis. * Oversee the production ...

support strategic decision-making and operational performance.The role combines leadership of data engineering capability (including the data lake, pipelines and environments) with ownership of analytics and reporting outputs, ensuring data is transformed into accessible, trusted and actionable insight for the business.Reporting to the Chief Innovation Officer, the postholder will play … lake and data platforms.• Delivery of high-quality, trusted and business-ready data and insights.• Effective leadership and performance of the data engineering and analytics team.• Strong alignment of data solutions to business strategy and innovation priorities.• Data governance, quality and compliance across all data assets.• Timely and effective execution ...

data warehouse and reporting environments * Produce and maintain technical documentation and development standards Skills & Experience * Strong experience with Microsoft Fabric and Azure Synapse Analytics * Advanced SQL Server development experience * Expert knowledge of T-SQL including stored procedures, views and functions * Experience designing, building and supporting enterprise data warehouse solutions * Experience ...

they impact the bank. What you'll get to do/Responsibilities Detection Engineering - Design, build, test, and maintain high-fidelity detection rules and analytics in our SIEM and other security platforms. Proactive Threat Hunting - Formulate hypotheses and hunt for undetected attacker TTPs across our cloud (AWS, GCP, Azure), SaaS ...

Datatech Analytics is seeking a Data Scientist to join a global leader in supply chain risk and compliance tech. Cardiff-based, hybrid work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs ...

capabilities are exposed through the API surface. API design fluency. REST principles, OpenAPI/Swagger, pagination, auth patterns, error handling API observability including usage analytics, rate limiting, deprecation telemetry Benefits Competitive Salary. Company Laptop supplied. Bonus Scheme. 25 Days Annual Leave (plus bank holidays). Hybrid working model. Healthcare & Company ...

while protecting genuine customers and optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo ...

data, integration and solution specifications. Design and implement scalable ETL pipelines and data models; own data quality, lineage and documentation. Build and operationalise predictive analytics and automated processes; ensure monitoring and maintainability. Develop high impact reports and self-service solutions using Power BI (data modelling, DAX, optimisation). Rapidly prototype … wider business activities and we believe that variety is key to your development. What we're looking for Must have experience in applying Data Analytics within a relevant, similar sector. Deep experience with PowerApps and Power Automate Excellent with Power BI Strong requirement-gathering and stakeholder management skills. Excellent business ...

ensure reporting accuracy for regulators and drive improvements in data quality across the Borrowing portfolio. The role offers a mix of hands-on analytics, cross-functional collaboration and flexible working within the UK. #J-18808-Ljbffr ...

work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely … tangible business value. The role will include Designing, developing and deploying machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics Building and deploying LLM-based solutions for text analytics, anomaly detection and automated compliance checks Working with Engineering and Product teams to integrate models into ...

where you'll simply maintain pipelines. You'll shape how data flows across the business, influence technical decisions and work alongside Product, Engineering and Analytics to solve real customer problems. Why this role matters As a Data Engineer, you'll build the foundations that power decision-making across Veygo. … work will have a direct impact across Veygo. Working with technologies including Snowflake, Matillion and AWS, you'll partner closely with Product, Engineering and Analytics to shape the future of our data platform, continually improving how data is collected, transformed and used across the business. You'll be successful ...

with technical teams and discussing APIs, data schemas, rendering constraints, front-end implementation and performance trade-offs. Strong grasp of data storytelling and visual analytics: helping users move from raw data to interpretation, insight and action. Interest in maritime domain awareness, vessel behaviour, earth observation, remote sensing, intelligence analysis ...

work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work closely … tangible business value. The role will include Designing, developing and deploying machine learning models for risk scoring, compliance prediction, churn analysis and contractor performance analytics Building and deploying LLM-based solutions for text analytics, anomaly detection and automated compliance checks Working with Engineering and Product teams to integrate models into ...

business. The Data Engineer will be responsible for developing robust data engineering solutions that reduce manual processes, improve data quality, and enable self-service analytics at scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology and dimensional … from multiple operational systems. Strong understanding of data quality, governance, and best practices for managing trusted data assets. Experience working closely with BI/analytics teams to support reporting and insight delivery. Strong problem-solving skills with the ability to diagnose and resolve data issues quickly and effectively Key Responsibilities ...

data management leader skills with a strong track record of delivering improvement in complex organisations. Significant experience in data quality, data governance, data management, analytics, or a related discipline, and a proven ability to lead multidisciplinary teams, influence senior stakeholders, and drive organisational change through better use of data. Confident … reviewing your statement for clear evidence of how you meet the essential criteria outlined below:Significant experience in data quality, data governance, data management, analytics or a related discipline.A proven ability to lead multidisciplinary teams, influence senior stakeholders and deliver organisational change through the effective use of data.We encourage ...

requirements into scalable data assets, build reporting capabilities, and leverage AI to create scalable data tools that drive strategic decisions. You will partner with analytics engineers and the Finance Data team to turn raw numbers into clear commercial insights, supporting P&L management, forecasting, and financial modelling. Hybrid work with ...

issues in a timely and efficient mannerOversee and support data cleansing, enrichment, and standardisation initiatives, ensuring data is optimally prepared for use in advanced analytics and AI applicationsImplement preventative measures to minimise future data quality defects, particularly those that could compromise the integrity or ethical use of AI systemsMonitoring & Reporting … embedded into new system implementations, data migrations, and digital transformation projects from the outsetSupport the provision of high-quality, trusted data for advanced analytics, reporting, and especially for the training, fine-tuning, and operational use of Generative AI and Agentic AI modelsConnect to your skills and professional experience Essentials:Proven ...