76 to 100 of 5,734 Analytics Jobs in the UK

into competitive advantage. About the role: Build and refine Data Science/AI/ML models that solve genuine commercial challenges Work across predictive analytics, personalization, and decision-making tools Deploy models on major cloud platforms (AWS, Azure, GCP) Collaborate with AI Engineers and Product Teams on scalable solutions Help More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

to be experienced in all of the areas outlined below. Qualifications: AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection). Proficiency in Python, R, or Spark to extract insights from data. Experience with Data More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

. Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful data visualisation. Strong programming skills in Python for data processing, scripting, and automation. Familiarity with DBT, Airbyte, or similar transformation and replication products More ❯

and use data for reporting and MI purposes. Working with team members and Subject Matter Experts or SMEs on identifying, designing, building, and performing analytics to provide risks and controls insights to business partners & Internal Audit. Document business MI Solutions to ensure this knowledge is retained within the organisation, interact More ❯

aggregating data from multiple sources and compiling it into a digestible and actionable format Partnering with other analysts and BI engineers in planning and analytics to build analytical solutions to deliver on business goals Propose and implement business metrics for senior management reviews and work with business intelligence and data More ❯

and expertise for the development and implementation of data engineering solutions. Design, develop, and maintain scalable data pipelines and ETL processes to support data analytics and business intelligence initiatives. Collaborate with cross-functional teams to understand data requirements and ensure effective data integration and governance. Evaluate and recommend appropriate tools More ❯

company is an equal employment opportunity employer. Responsibilities The Data Analyst will engage in a wide variety of projects central to enhancing Berkley Custom analytics and reporting capabilities within the actuarial team. Key functions include but are not limited to: Developing queries and reports for actuarial department and executive team More ❯

and collaboratively in a fast-paced environment. Experience in the insurance or financial services industry is a plus. A degree in Data Science, Business Analytics, Statistics, Computer Science, or a related field would be preferred but is not essential Compensation and benefits On top of a competitive salary, great teams More ❯

product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or More ❯

communication in both Japanese and English will also be required. Key job responsibilities: Data-driven: Own end-to-end delivery of complex, cross-functional analytics projects. Drive the development of scalable data models, maintain data governance standards and best practice. Drive continuous improvement in data quality, accessibility, and analytical capabilities. More ❯

e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding of data governance, security, and regulatory compliance. Excellent communication skills, with the ability to bridge technical and business conversations. Ability to work collaboratively More ❯

everyone in the team is working towards a clear goal To qualify for the role, you must have 5+ year(s) experience in business analytics, data science, software development, data modelling or data engineering Good understanding of scripting Excellent SQL, preferably T-SQL, development skills Experience in data wrangling and More ❯

experience with Python, preferably PySpark. Excellent communication and stakeholder management abilities. Strong expertise in Azure (AWS considered for a strong candidate): ADLS, Databricks, Stream Analytics, SQL DW, Synapse, Databricks, Azure Functions, Serverless Architecture, ARM Templates, DevOps. Hands-on experience with ETL/ELT processes and data warehousing. Solid understanding of More ❯

team and play a key role in maximizing both customer acquisition and retention across the business. You'll work closely with growth, product, and analytics stakeholders to uncover insights, build predictive models, and drive high-impact decision-making through experimentation and forecasting. This is a high-visibility role where your More ❯

reporting framework, which links revenue, cost, and operational KPIs. Build and maintain dashboards and reporting assets across the database, CRM, BI tool and financial analytics tools. Partner with the Data Engineering team to validate and enhance source data pipelines. Finance & Commercial Collaboration Translate commercial insights and questions into BI deliverables More ❯

reporting framework, which links revenue, cost, and operational KPIs. Build and maintain dashboards and reporting assets across the database, CRM, BI tool and financial analytics tools. Partner with the Data Engineering team to validate and enhance source data pipelines. Finance & Commercial Collaboration; Translate commercial insights and questions into BI deliverables More ❯

reporting framework, which links revenue, cost, and operational KPIs. Build and maintain dashboards and reporting assets across the database, CRM, BI tool and financial analytics tools. Partner with the Data Engineering team to validate and enhance source data pipelines. Finance & Commercial Collaboration; Translate commercial insights and questions into BI deliverables More ❯

enhancing its capabilities and data in line with business and regulatory requirements. XMC provides a suite of services across our product offering, including data analytics, automated reporting solutions, dashboarding, rules based decision engines, workflow ticketing, data management and data governance tooling with a primary focus on user experience and outcome More ❯

gathering/documentation, user story definition, functional specification definition, data modelling techniques, gap analysis, and financial appraisal techniques. Data Analysis Competence : Knowledge of data analytics and proficiency in using tools for data analysis and visualisation. Change and Transformation Exposure : Significant experience working within a change and transformation environment, with a More ❯

Modelling and data science practices Experience of or willing to learn the following technologies: Microsoft Fabric or its related technologies: Azure Databricks Azure Synapse Analytics Azure DW Azure SQL DB Azure Data Factory Azure Data Lake Familiarity with continuous integration, continuous delivery, agile methodologies, and Azure DevOps. Familiarity with optimizing More ❯

Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role You will be joining our dynamic and growing team of analytics product specialists, united by a shared mission to deliver end-to-end analytics and AI transformation that prioritises business value. As a Consultant/Senior … to flagship projects that set industry benchmarks. In this role you will be delivering at least one of the following areas: Designing and implementing analytics products: Translate business requirements into technical solutions that ensure scalability, robust data governance and optimal performance. Developing innovative solutions: Create PoCs and MVPs for Data … processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to deliver cost-effective, scalable analytics and BI products. As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through More ❯

Join Our Team as an Analytics Engineer! Are you passionate about turning complex data into actionable insights? Do you thrive on solving problems and enabling data-driven decision-making in the dynamic world of payments? If so, we want to hear from you! As anAnalytics Engineerspecializing in the payments space … enhancements. Qualifications Bachelor's degree in Data Science, Computer Science, Information Systems, Finance, or a related field. Proven experience as a Data Analyst/Analytics Engineer role, preferably in the payments industry with issuer processors. Proven experience in SQL,DBT and Snowflake. Proficiency in building and managing data transformations with More ❯

We are now looking to bring on board a subject matter expert on data analytics and structured data systems to help grow the Data Analytics practice for the EMEA region. As Director, you will collaborate and offer global data analytics support to service client needs and business opportunities in Europe … and Asia Pacific. This role has three main focus areas: Lead and manage projects concurrently Assist in the development of business offerings for data analytics and technology services globally Generate thought leadership and instil best practices in data analysis for regulatory, compliance, and business issues The Director should have experience … The Director will work with the Compliance, Forensics, and Intelligence team, who may function as the subject matter experts but be in need of analytics assistance. Data analytics consulting Design and implement qualitative and quantitative data analysis methodologies to discover meaningful trends, red flag behavior, and optimize operational efficiencies Create More ❯