1 to 25 of 49 Analytics Jobs in Surrey

Microsoft Fabric (essential) Experience working within Azure data environments Strong SQL development skills Experience with Python and/or PySpark Knowledge of Azure Synapse Analytics and Azure Data Factory Experience building and maintaining data pipelines and data integration solutions Understanding of modern data warehousing and lakehouse concepts Excellent communication ...

Database/SQL Server Microsoft Power BI Tabular Models T-SQL PowerShell Azure Cloud Services Experience with the following would be advantageous: Synapse Analytics Databricks Python Master Data Management (MDM) About You We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills. You will have ...

love you to bring: Passion for using data to tell stories, make insight actionable, and influence decisions. Strong understanding of data models and analytics; exposure to predictive modelling and machine learning is a plus. Proficient in SQL and Python, with bonus points for PySpark, SparkSQL, and Git. Skilled in data ...

maintain timely data availability Contribute to the design, build, and optimisation of data architectures, models, warehouses, and data lake solutions that support reporting, analytics, and AI initiatives. Ensure solutions meet performance, scalability, and reliability standards across legacy and modern cloud platforms. Monitor and tune system, pipeline, and query performance. Continuously ...

consumption optimisation, unit economics and value measurement, while retaining core FinOps responsibility for the wider cloud estate. The role will provide insightful reporting and analytics, improve financial accountability and ensure token-based consumption is actively governed and optimised.This position is hybrid working, with a requirement to be in office ...

consumption optimisation, unit economics and value measurement, while retaining core FinOps responsibility for the wider cloud estate. The role will provide insightful reporting and analytics, improve financial accountability and ensure token-based consumption is actively governed and optimised. This position is hybrid working, with a requirement to be in office ...

Data Engineer. As a Lead Data Engineer, you will focus on designing and implementing numerous complex data flows to connect operational systems, data for analytics and BI systems. You will identify and deliver new data sources and develop ETL processes, collaborate with the Data Acquisition, Analytics and Infrastructure teams … ingest new data sources. You will also work with the Principal Data Engineer, Data Architects, Database Administrators, Technical Architects, Solution Architects and Data Analytics team to set the enterprise data strategy and standards and agree implementation and governance.Person specificationMain ResponsibilitiesManaging data sources to improve data quality and conform them ...

innovation and data-driven decision-making in underwriting and pricing.As a Data Analyst, you will play a pivotal role in shaping our centralized data analytics function, which supports technical areas such as underwriting, pricing, and commercial. You will work collaboratively with cross-functional teams, including Data Science, Data Program, Portfolio … assume responsibility for change, communication, quality and risk managementAI Readiness Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.What you will needBachelor or above in a quantitative discipline ...

Work with stakeholders across departments to understand reporting requirements and deliver actionable insights. Maintain data accuracy, consistency, governance and reporting standards. Promote self-service analytics and support colleagues in using business intelligence tools. Lead reporting improvements and contribute to the development of the organisation's data strategy. Explore emerging technologies … including Microsoft Fabric and AI, to enhance analytical capabilities. The Person Our Client Is Looking For Proven experience in Business Intelligence, data analytics or a similar analytical role. Strong experience developing Power BI reports, dashboards and data models. Knowledge of Microsoft Azure and data pipeline development. Strong commercial awareness ...

native platforms and patterns underpinning insurance modernisation (e.g. Azure, AWS, GCP; core insurance/data platforms; API-led integration). Strong grasp of data, analytics, and AI/ML, including AI-enabled and agentic operating models, and how governed AI adoption drives outcomes. Enough hands-on depth to interrogate solution ...

practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment ...

practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics).Containers, Container Apps, Kubernetes and microservicesExperience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling ...

showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining ...

Endpoint, Microsoft 365 Security, and integrated Microsoft security platforms.Knowledge of Microsoft Azure administration, cloud networking, and hybrid cloud infrastructure.Experience with SIEM integrations, log analytics, reporting platforms, dashboarding, and security monitoring solutions.Experience with Bash scripting, automation tools, and infrastructure operations.Experience supporting government, defence, aerospace, critical infrastructure, energy, transportation, or other highly ...

Influence: Influences others through clear, well-structured content. Leads discussions and drives delivery alignment. Your experience: Proven experience in managing delivery of data and analytics products, preferably within a large or complex organisation. Strong track record of working with cross-functional teams to deliver data solutions that meet business needs ...

develop their own products. For over 40 years, they’ve been at the forefront of innovation, transforming customer experiences through smarter communications, automation, analytics and AI. They deliver transformative communication and CX solutions throughout the UK and internationally, supporting clients with global reach and ambition. As the business expands, they ...

websites, mobile apps, CRM systems and digital analytics. Improving customer journeys and conversion rates through UX, A/B testing and ongoing optimisation. Using analytics and customer insights to inform decisions and measure ROI. Overseeing SEO, PPC, CRO, content, social media and email marketing activity. Managing digital budgets, agency relationships ...

select, finance and manage risk and capital. We develop software solutions that support insurance companies and other businesses that require sophisticated machine modelling and analytics processes as they confront volatile markets and regulatory changes. Our work underpins complex financial activities ranging from asset-liability modelling, pricing and reserving to economic ...

select, finance and manage risk and capital. We develop software solutions that support insurance companies and other businesses that require sophisticated machine modelling and analytics processes as they confront volatile markets and regulatory changes. Our work underpins complex financial activities ranging from asset-liability modelling, pricing and reserving to economic ...

select, finance and manage risk and capital. We develop software solutions that support insurance companies and other businesses that require sophisticated machine modelling and analytics processes as they confront volatile markets and regulatory changes. Our work underpins complex financial activities ranging from asset-liability modelling, pricing and reserving to economic ...

select, finance and manage risk and capital. We develop software solutions that support insurance companies and other businesses that require sophisticated machine modelling and analytics processes as they confront volatile markets and regulatory changes. Our work underpins complex financial activities ranging from asset-liability modelling, pricing and reserving to economic ...

moving towards: C#, .NET/.NET Core, Microsoft Azure, GitHub (an increasingly strategic platform), Azure DevOps, CI/CD pipelines and automation, and engineering analytics tooling including the LinearB pilot. The candidate should understand these well enough to challenge, guide and directly contribute to engineering direction. What Success Looks Like ...

specific geographic nuances (NAM, EMEA, APJ).Collaborate with Marketing Ops to track Market Development Funds (MDF) allocations, ensuring high ROI on partner-spend initiatives.Metrics, Analytics & OptimizationEstablish, track, and report on key performance indicators (KPIs) such as partner In quarter created pipeline contribution (IQC), marketing-generated leads (MQLs), Marketing Influenced Pipeline ...

geographic nuances (NAM, EMEA, APJ).Collaborate with Marketing Ops to track Market Development Funds (MDF) allocations, ensuring high ROI on partner-spend initiatives. Metrics, Analytics & OptimizationEstablish, track, and report on key performance indicators (KPIs) such as partner In quarter created pipeline contribution (IQC), marketing-generated leads (MQLs), Marketing Influenced Pipeline ...

acquisition, retention, and engagement through data-driven feature development. Collaborate closely with Engineering, Marketing, Sales, and Customer Success to deliver market-leading functionality. Use analytics, customer feedback, and market insight to prioritise effectively. Present roadmap progress and product strategy in leadership and investor meetings. Help shape the culture and operating ...