1,001 to 1,025 of 1,444 Permanent Analytics Jobs

About the Company Our client is a well-established financial organisation based in London, known for using data to guide smarter business decisions. The analytics team works across departments to turn numbers into clear insights that support growth, efficiency, and performance. They are now looking for a Trainee Data Analyst … join their finance analytics team. This position is ideal for someone who is naturally analytical and wants to build a long-term career in financial data. The Role You will begin by learning the fundamentals of financial data analysis, from collecting and cleaning data to presenting insights that influence business ...

quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. … other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (eg, Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with ...

SPONSORSHIP AVAILABLE The Role As a Data Engineer , you'll play a key role in developing and maintaining data pipelines, automating workflows, and supporting analytics across the organisation. You'll collaborate closely with IT and digital teams to ensure seamless integration between systems and empower data-driven insight through platforms … Data Factory and Matillion ETL Manage data ingestion, transformation, and storage in Snowflake Develop API integrations to connect multiple business systems Support self-service analytics through Power BI and QlikSense Implement best practices for data modelling, governance, and optimisation What You'll Bring Experience with ETL/ELT development ...

strategy aligned to business objectives and digital transformation plans. Establish and maintain strong data governance frameworks, ensuring data quality, consistency, and compliance. Lead BI, analytics, and insight functions to support predictive modelling, reporting, and decision-making. Drive the identification, evaluation, and implementation of emerging technologies including AI, automation … proven experience influencing and collaborating at executive level. Strong commercial awareness, with the ability to translate insights into measurable business outcomes. Experience leading BI, analytics, or data-led programmes. Strategic mindset. Desirable: Experience within mobility, logistics, financial services, or tech-enabled service environments. Knowledge of AI/ML, automation, GDPR ...

data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You’ll take ownership of automated data pipelines, cloud infrastructure …/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation ...

develop a small team of BI Analysts, setting direction, priorities, and standards for delivery. Contribute to and support the BI roadmap, ensuring insight and analytics underpin every operational and commercial decision. Build and refine Power BI dashboards and Azure data models that turn complex retail data into actionable stories. Explore … software, commercial, and operations teams to align BI with the company’s wider technology roadmap. What you’ll bring 5+ years in BI, Data Analytics, or Data Engineering, including proven experience leading a team. Deep working knowledge of Power BI and Azure Data Services (Data Factory, Synapse, etc.). Strong ...

patterns using private endpoints, managed identities and Key Vault. Participate in code reviews and help improve engineering practices. Collaboration & Delivery Work with BI and Analytics teams to deliver curated datasets that power dashboards across the business. Contribute to architectural discussions and the ongoing data platform roadmap. Tech … Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven data engineering experience. Hands-on experience delivering solutions on Azure + Databricks . ...

patterns using private endpoints, managed identities and Key Vault. Participate in code reviews and help improve engineering practices. Collaboration & Delivery Work with BI and Analytics teams to deliver curated datasets that power dashboards across the business. Contribute to architectural discussions and the ongoing data platform roadmap. Tech … Gen2, Data Factory, Event Hubs (optional), Key Vault, private endpoints Languages: PySpark, Spark SQL, Python, Git DevOps: Azure DevOps Repos & Pipelines, CI/CD Analytics: Power BI, Fabric What We're Looking For Experience Commercial and proven data engineering experience. Hands-on experience delivering solutions on Azure + Databricks . ...

long-standing London client with a strong social purpose. In this role, you'll blend 60% UX/UI design with 40% BI analytics, shaping how the organisation uses data to drive insight, efficiency, and innovation. Please note: Ideally, we are looking for a UX/UI design specialist. … engineers and business users to deliver reliable, effective data products. Mentoring junior analysts on UX/UI and visualisation best practice. Supporting the wider analytics roadmap and promoting strong data quality and governance. About You You'll bring creativity, curiosity, and a commitment to great user experience. Above ...

makes extensive use of the Microsoft data toolset, including SQL Server, Azure SQL, Azure Data Factory, Fabric and PowerBI, supporting robust data engineering and analytics across the business. Automation and workflow solutions are delivered through the Microsoft Power Platform and Azure services such as LogicApps and Azure Automation. The team … requirements. Who We're Looking For ** Experience managing data engineering or application development teams in a complex environment. ** Strong understanding of data governance, architecture, analytics, and cloud data platforms. ** Familiarity with modern working practices such as DevOps, CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem ...

makes extensive use of the Microsoft data toolset, including SQL Server, Azure SQL, Azure Data Factory, Fabric and PowerBI, supporting robust data engineering and analytics across the business. Automation and workflow solutions are delivered through the Microsoft Power Platform and Azure services such as LogicApps and Azure Automation. The team … requirements. Who We're Looking For ** Experience managing data engineering or application development teams in a complex environment. ** Strong understanding of data governance, architecture, analytics, and cloud data platforms. ** Familiarity with modern working practices such as DevOps, CI CD, Agile, and collaborative coding. ** Solid knowledge of the Microsoft ecosystem ...

business. The Role of Mobile App Marketing Data Analyst They are seeking a Mobile App Marketing Data Analyst to join their Marketing Data & Analytics team. In this role, you will support the Senior Marketing Analyst and the Head of Mobile on the delivery of Mobile campaign insight and marketing recommendations … strategies at a campaign level across mainly digital performance channels for all GEOs. Using a combination of tools (customer database, MMPs i.e Appsflyer, Google Analytics, other marketing platforms, etc.) to analyse customer journeys both through the marketing acquisition and retention funnel allowing for better customer segmentation/personalisation, enhanced profitability ...

Overview Princeton University is seeking an experienced Reporting and Analytics Lead to drive readiness, planning, and implementation of reporting for a new Enterprise Resource Planning (ERP) system across Human Capital Management (HCM), Finance, and Academic (Student) systems. Reporting to the University Data Office (UDO), this role will provide functional … role will ensure that ERP reporting fits within Princeton's overall data strategy including reporting best practices and data governance. The ERP Reporting and Analytics Lead will work closely with the UDO, ERP Program team, functional units, reporting users, and implementation consultants to deliver ERP reporting aligned with functional objectives. ...

Were looking for a Data Engineer who loves building and managing data solutions. This is a fully remote, career opportunity with a forward looking marketing company with a national footprint. Youll be working in the ...

Job summary The Business Intelligence Specialist (BIS) is a key member of the Women's & Children's Clinical Management Group (CMG) at the University Hospitals of Leicester (UHL). The role focuses on producing, developing ...

Lead Data Engineer - Microsoft Fabric - Hybrid - Winchester - £75k About the Role Are you ready to lead the charge in modern data engineering? We're looking for a Senior Microsoft Fabric Data Engineer Consultant with 5+ ...

Senior Analytics Specialist - Digital Agency - £45-55k - x2 days a week in London I'm working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment . They're now looking for an experienced Senior Analytics Specialist to join their performance … someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients. The role: Lead on analytics setup and management, including GTM containers and GA4 Implement analytics accounts, dashboards and reporting structures Analyse customer behaviour and campaign performance across multiple data sources ...

Data & Analytics Manager - Power BI, Data Visualisation Our client, a leading specialty London Market insurer, is hiring a Head of Data Analytics Manager This is a business-focused Data & Analytics Lead role, split 50/50 between people management and hands-on delivery. The successful candidate will lead an existing … recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs. Data & Analytics Manager - Power BI, Data Visualisation ...

data quality, lineage, and controls to address regulatory gaps, strengthen internal oversight, and enhance data governance capabilities. This includes enabling greater confidence in reporting, analytics, and the adoption of AI. Transformation: Support front and back-office transformation initiatives by improving data architecture to enhance pricing, claims automation, regulatory reporting, customer ...

Lead Analytics Engineer – DBT, Snowflake, AWS, A high-growth technology business (the next tech Unicorn?) is West London is looking for a Lead Analytics Engineer to help build and scale the next phase of its data and intelligence platform. This is a rare opportunity to join a company … working directly on the core data models that power customer personalisation, product development and key commercial decisions. The Role As a Lead within the Analytics Engineering team, you will take ownership of the modelling layer and bring structure, clarity and best practices to an ambitious and growing data organisation. ...

Delivery: Lead the planning, execution, and timeline management for concurrent, complex technology projects, ensuring seamless delivery across platforms like Oracle Fusion, CRM, and data analytics systems . Architecture & Integration Oversight: Collaborate with solution architects to validate designs across diverse technology stacks (Oracle, Microsoft, AWS, etc.). Oversee integration design … management, and communication skills used to handling complex stakeholder relationships. Desirable Skills Certifications in Oracle Cloud, Azure, or AWS architecture. Experience with modern data analytics platforms (Snowflake, Oracle Analytics Cloud). Experience in Agile/Hybrid project delivery methodologies. ...

Finance, Product, and Growth in a highly data-driven environment. You'll join a small but impactful central data team, owning end-to-end analytics projects and delivering insights that directly influence strategic decisions. This role is ideal for someone who enjoys autonomy, solving complex commercial problems, and working across … large, behaviour-rich datasets. What you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend, attribution signals ...

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where ...

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where ...

About The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where ...