1,426 to 1,450 of 18,569 Analytics Jobs in the UK

We are looking for a skilled Senior Cloud and Data Solution Architect in the UK (based out of London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data … Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers More ❯

afield, we’ll accept applications for remote workers! Core skills we’re looking for to succeed in the role: Data & Technology: You have a passion for all things data, analytics, and technology with experience of working with metadata driven pipelines Self-starter: You can triage workloads and act autonomously to achieve goals. Mentorship: You thrive as a role model, mentoring … discrepancies. You’ll build solutions that pipe transform data into data lake storage areas, physical database models and reporting structures across data lake, data warehouse, business intelligence systems and analytics applications. You’ll build physical data models that are appropriately designed to meet business needs and optimise storage requirements, ensuring maximum re-use. You’ll carry out unit testing of … experience of developing and implementing end to end data solutions in the cloud preferably in Azure. Experience engineering with big data technologies such as Databricks and/or Synapse Analytics, using PySpark. Solution design experience across end-to-end data solutions (sourcing to consumption) Experience in Azure services such as Data Factory, Azure Functions, ADLS Gen2, Key Vault, Synapse Dedicated More ❯

s strategic goals and enterprise data services. Provides guidance on developing data quality monitoring, drives remediation efforts, and improves enterprise data quality. Coordinates with teams including enterprise data services, analytics, and business units to advance data quality initiatives. Plays a key role in developing and managing the enterprise-level data quality program. Preferred domain knowledge includes data quality lifecycle management … policies, processes, standards, business analysis, project management, data management, catalog management, stewardship, business process flows, data mapping, process improvement, data visualization, analytics programming, database management (including MDM, ETL, storage, cloud computing), and experience working with healthcare data systems like EMRs, billing, claims, and financial systems. Business acumen in finance, accounting, operations, management, and marketing within healthcare and health plans. Responsibilities More ❯

such as SQL, R, Python will be highly beneficial. Knowledge of ArcGIS would be desirable. #LI-Hybrid About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. … entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion More ❯

Inclusive culture and career growth opportunities Global IT Organization which collaborates across U.S., Canada, Europe and Australia Challenging, collaborative, and team-based environment What you will do Enterprise Data & Analytics thrives on strong relationships with our business partners and working diligently to address their needs which support TJX growth and operational stability. On this tightly knit and fast-paced solution … a Lead Test Data Engineer at TJX, you will work with a team that partners with the C360 product management team and delivers products for one or more customer analytics product teams. We seek passionate testers with expertise Leading team, designing, developing, and maintaining data quality solutions. The ideal candidate should have strong expertise in ETL framework testing (preferably Talend … team player. Ability to work with cross-functional teams, adapt to evolving business needs, and effectively manage shifting priorities. Key Skills (Nice to Have's): Prior experience in Customer Analytics, Retail, or E-commerce domains. Familiarity with data governance policies and data compliance frameworks (GDPR, CCPA, etc.). Exposure to API Platforms like Apigee, Dell Boomi, Postman, and API-driven More ❯

your idea of a good day is receiving huge amount of data? This position could be for you.... At GEOLYTIX we seek new and innovative ways to make spatial analytics accessible, exciting and indispensable. Our customers span the retail, financial, property, leisure and food & beverage industries, across the world. We build innovative solutions to support our clients to make better … Java or JS ● Track record of using data manipulation and machine learning libraries in one or more programming languages. ● Keen interest in some of the following areas: Big Data Analytics (e.g. Google BigQuery/BigTable, Apache Spark), Parallel Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices More ❯

way around data pipeline management tools such as Snowflake, dbt, Git, Airflow and Python (all analysts at Wise are expected to be full-stack and should be comfortable owning analytics from ingestion to insights). Nice To Have But Not Essential Experience working with payments or transaction data. Experience working with sales data in Salesforce or similar, and/or … Kingdom 1 week ago Data Analyst, Power BI | Investment Management - Trading Platform | London, Hybrid | up to £100k + Bonus, Benefits London, England, United Kingdom 3 hours ago Business Analyst, analytics and insights, EU AMZL Capacity Planning Analytics London, England, United Kingdom 3 weeks ago IT & Data Transformation Business Analyst London, England, United Kingdom 2 days ago City Of London, England More ❯

support at all stages of the data lifecycle, from early-stage strategy development, maturity assessment and infrastructure reviews through to detailed data migration, data science projects and complex visual analytics solutions. By combining key skills in data analytics, data visualisation, data science, data engineering and data strategy, we help our clients address the toughest challenges they face on a day … diversity and inclusion. This ensures we bring the best mix of technical capability, business knowledge and personal engagement. We thrive on seeing data driving positive change in industry. Data & Analytics - Translate your data into insight - KPMG Ireland Discover How KPMG Can Enrich Your Life Beyond Your Career Benefits Tailored For You At KPMG, we understand that life is multifaceted. That More ❯

elevate your career and help lead the future of catastrophe risk management- apply now . #LI-Hybrid About Us For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster. … entire policy lifecycle of life and annuities for both individual and group. Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion More ❯

ll lead the design and deployment of predictive models, benchmarking tools, and data pipelines that directly improve outcomes in social care. You’ll work at the intersection of advanced analytics and compassionate innovation, shaping the future of care intelligence across the UK and beyond. What You’ll Do: Design and implement benchmarking methodologies using data from hundreds of care homes … across clinical and operational metrics Build scalable data science workflows using Azure Data Factory, Synapse Analytics, Databricks, and other Microsoft Azure services Lead end-to-end development of predictive models (e.g., fall prediction, infection prevention) using Azure Machine Learning Collaborate with developers and product managers to embed ML outputs into dashboards and APIs via Power BI and Azure tools Ensure More ❯

and implement tools for monitoring and diagnosing data system health Guide best practices for table design, partitioning, clustering, and indexing Contribute to platform code and infrastructure to support scalable analytics Qualifications 5+ years of experience working with large-scale data systems in production Deep knowledge of ClickHouse performance internals or any other big data platform. Proven expertise in query tuning … cost optimization, and storage design Proficiency in SQL and familiarity with backend coding ( e.g., Go, Python) Strong understanding of cloud infrastructure Real-life experience with real-time analytics Excellent communication skills in English, both written and verbal Self-organized, Goal-oriented, self-motivated individual who is confident, thorough and tenacious Ability to effectively operate with flexibility in a fast-paced More ❯

Redshift. Expertise in designing solutions that prioritise automation and reusability. Proficiency in creating high-level and low-level technical designs, specifications, and interface control documents. Knowledge of BI and analytics tools like Power BI, Pentaho, ElasticSearch, Solr, or Apache Kafka. Solid experience with engineering methodologies and service management best practices. A proactive approach to problem-solving and collaboration, with the … particularly with large-scale data platforms. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Data Infrastructure and Analytics Referrals increase your chances of interviewing at Supermercados Guanabara by 2x Get notified about new Data Architect jobs in London, England, United Kingdom . Hammersmith, England, United Kingdom 3 days More ❯

Responsibilities: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse sources. Manage data pipelines for analytics and operational use , ensuring data integrity, timeliness, and accuracy across systems. Implement data quality tools and validation frameworks within transformation pipelines. Data Processing & Optimization: Build efficient, high-performance systems by … robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness of ML pipeline integration and ensure data readiness for experimentation and deployment. Maintain thorough documentation More ❯

Description AWS is looking for a Senior Sales Operations Analyst to join their Global Sales Strategy & Operations team in the United Kingdom and Ireland. This role combines hands-on analytics with operational excellence, where you'll use data analysis and modelling to support Sales Leaders and their teams. You'll play a key role in maintaining business health and driving … Description AWS is looking for a Senior Sales Operations Analyst to join their Global Sales Strategy & Operations team in the United Kingdom and Ireland. This role combines hands-on analytics with operational excellence, where you'll use data analysis and modelling to support Sales Leaders and their teams. You'll play a key role in maintaining business health and driving … help us grow. Key job responsibilities Data Analysis & Insights – Conduct comprehensive analysis of diverse datasets to uncover meaningful business insights Design and deliver both regular and on-demand business analytics to meet stakeholder requirements Strategic Planning & Reporting Maintain monthly health of the business models Create and manage various financial modeling projects Extract and analyze data using Excel and other data More ❯

willingness to learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science and a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data modeling … experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and More ❯

innovative insights and actionable recommendations. Analyze the customer journey and shopping behavior to identify website performance improvement opportunities. Review industry trends and assess their relevance and potential ROI. Advanced Analytics & Customer Centricity Analyze user journeys, website features, and content. Drive customer segmentation and profiling for targeted, relevant communications. Work with stakeholders to enhance conversion and customer experience. Promote the 'voice … digital/web tools (e.g., Content Square, Monatate). Experience with marketing research tools. Proficiency in SQL and Power BI. Experience with enterprise analytical tools (e.g., Coremetrics, Omniture, Google Analytics). Advanced Excel skills. Ability to work with large and unstructured data sets. Knowledge of digital marketing. Highly organized, proactive, and strategic thinker. About the perks Blended working environment (office More ❯

and adapt to its ecosystem. Proficiency in Python programming, focused on data manipulation and engineering. A genuine interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Experience in … data modeling and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a consultancy environment. Data modeling experience and … knowledge of Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Daily tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable More ❯

/ML solutions. Adopt cutting-edge advancements in GenAI and LLM technologies to keep the platform at the forefront of innovation. Align with the bank's central Enterprise Advanced Analytics & Artificial Intelligence group to ensure alignment with organizational goals, strategies, and governance. Manage large datasets and support data preparation, integration, and analytics across various data sources (orders, quotes, trades, risk More ❯

willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data modeling … experience and understanding of the Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily role will include, but is not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation to ensure data quality and More ❯

willingness to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science with a drive to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities in a dynamic consultancy environment. Experience in data … modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. More ❯

manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate across teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network … Code principles API integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning More ❯

and insights, as well as running the business execution and business intelligence tactics. This role can be based in the UK or Ireland. A Typical Day Sales Operations Drive analytics for territory planning, segmentation, capacity modeling, and quota setting Partner with Sales Leadership and Sales Operations teams on forecasting, pipeline analysis, and process improvements Develop and refine forecasting methodologies and … ensure alignment with other key stakeholders (i.e. Sales, Finance) Reporting & Analytics Develop and manage dashboards, reports, and KPIs to monitor sales performance Generate weekly regional data insights and reports to identify process gaps and drive resolutions (i.e. WBR, MBRs) Conduct ad-hoc analyses to support business initiatives and leadership inquiries Support sales managers and leaders by delivering analytical insights and More ❯

manage secure infrastructure across Azure and GCP Use Infrastructure as Code (Terraform) to implement and maintain security controls Automate security processes with scripting and APIs Use native tools and analytics to improve cloud & data security posture Collaborate across teams to deliver secure, scalable, and compliant solutions Creating and tuning DLP/Cyber policies for endpoints, email, cloud apps, and network … Code principles API integration (e.g., Microsoft Graph API) IN ADDITION, THE BELOW WOULD BE NICE TO HAVE (DEPENDING ON THE TEAM) Lab 1: Cloud Enterprise and Computer Security Data & Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning More ❯

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities suited for a dynamic consultancy environment. Experience in … data modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality More ❯