4,076 to 4,100 of 5,341 Analytics Jobs in the UK

performing team. This is a fantastic opportunity to apply your strong hands-on data engineering skills across a wide variety of challenging projects, and deliver value-adding data and analytics solutions that make a true business impact. Role & Responsibilities This Data & Insights practice is made up of some of the most competent and highly skilled data professionals in the market … from some of the best. As a Senior Data Engineering Consultant you will utilise your functional and hands-on technical data engineering skills to implement end-to-end reporting, analytics and data solutions for a variety of different customers, from large enterprises to small start-ups. You will get to work on and lead exciting and complex projects that vary … Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle OBIEE and/or Oracle Analytics Cloud is desirable. A self-starter, you will also need excellent communication and presentation skills. Rewards A competitive salary of £60,000-£80,000 is on offer (depending on your More ❯

and we're just getting started. We're now looking for an experienced Data Engineer to join our tight-knit engineering team and help scale our data infrastructure and analytics foundation. If you're excited about building robust, production-ready pipelines and transforming messy datasets into trusted business insights, you'll thrive here. What You'll Be Doing Build, ship … ensuring our data infrastructure is scalable, cost-effective, and resilient. Drive decision-making with clean data : Develop gold-standard datasets and dashboards using Amazon Quicksight to support reporting and analytics across the business. Collaborate across teams: Work closely with product, sales, finance and operations to understand business needs, define KPIs, and deliver scalable, accessible data products. Maintain quality and observability … data pipeline health, implement alerts, and ensure accuracy, documentation, and governance are embedded in everything you build. What We're Looking For: 2+ years of experience in data engineering, analytics engineering, or a similar technical data role Advanced skills in SQL and Python Proven experience with cloud data warehousing platforms like Redshift, Databricks, BigQuery, or Snowflake Experience building and maintaining More ❯

at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy … Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a 'champion' and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the … account executives and teams. Prior experience with coding in a core programming language (i.e., Python, SQL) and willingness to learn a base level of Spark. Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple More ❯

and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. 5+ years of More ❯

strategies Support business case development with robust analysis and impact modelling for transformation projects Monitor and measure success of implemented initiatives through performance tracking Cross-Functional Collaboration Collaborate with Analytics Engineering and Data Engineering teams to develop and maintain comprehensive dashboards monitoring transformation KPIs, performance metrics and interaction data Work with operational teams to understand current processes and identify transformation … Excel skills including pivot tables, complex formulas, and data manipulation techniques Strong understanding of operational processes with ability to connect metrics to business outcomes Experience Proven experience in operational analytics, business intelligence, or performance analysis with focus on service delivery metrics Experience analyzing operational workflows and service delivery metrics preferred Knowledge of financial services operations preferred Demonstrated track record of More ❯

of business intelligence data products within the enterprise About you Required Skills/Experience: A background in the field of working with either data products and/or data analytics and reporting Experience of working with or managing a product development lifecycle An inquisitive mind, with a strong interest in the link between data, products, and the business Strong stakeholder … modelling, and schema design Development experience with Power BI (or similar BI tool) Ability to read, write, and execute SQL queries An understanding of principles around ML and advanced analytics Having knowledge of PRS, Performance Rights Organisations, and/or the music industry More ❯

interpret data, analyze results using advanced statistical techniques, and deliver actionable insights through ongoing reports. You'll also be responsible for developing and implementing databases, data collection systems, and analytics strategies to maximize statistical efficiency and data quality. Main Duties Interpret data, analyze results using statistical techniques, and provide ongoing reports Develop and implement databases, data collection systems, data analytics More ❯

or Oxford , with regular travel to Oxford, and will be part of our Customer-Centric Innovation Center of Expertise. You'll work closely with Technology, Data Science, and Data Analytics teams, as well as integrity and ethics experts, who are the main users of the tools. You'll help build a modern, scalable user experience for integrity tools, enabling greater … dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at Work About the Business A global leader in information and analytics, we help researchers and healthcare professionals' advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets … with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. - Elsevier is an equal opportunity employer: qualified applicants More ❯

What You’ll Tackle Leading a new in-house Data Engineering function focused on Fabric integration Designing and evolving robust architectures using Fabric components—Data Warehouses, Lakehouses, Real-Time Analytics & Pipelines Building scalable, cloud-first data models tailored to retail operations and customer intelligence Driving end-to-end development across Azure and Microsoft Fabric environments Managing technical delivery across cross … functional teams and third-party collaborators Embedding CI/CD processes and modern Agile workflows into data delivery Identifying opportunities for Fabric optimisation and enabling advanced analytics capabilities Experience: Solid experience architecting and delivering solutions using Microsoft Fabric Proven leadership in growing and mentoring high-performing data teams Advanced knowledge of data integration strategies (CDC, APIs, ELT) and fabric-native More ❯

What You'll Tackle Leading a new in-house Data Engineering function focused on Fabric integration Designing and evolving robust architectures using Fabric components-Data Warehouses, Lakehouses, Real-Time Analytics & Pipelines Building scalable, cloud-first data models tailored to retail operations and customer intelligence Driving end-to-end development across Azure and Microsoft Fabric environments Managing technical delivery across cross … functional teams and third-party collaborators Embedding CI/CD processes and modern Agile workflows into data delivery Identifying opportunities for Fabric optimisation and enabling advanced analytics capabilities Experience: Solid experience architecting and delivering solutions using Microsoft Fabric Proven leadership in growing and mentoring high-performing data teams Advanced knowledge of data integration strategies (CDC, APIs, ELT) and fabric-native More ❯

such as infrastructure, service management and architecture. . Alignment to global data governance frameworks to ensure data quality, security, and privacy, encouraging data-driven decision making by leveraging data analytics and artificial intelligence (AI) to extract insights and inform business strategies. Implementation of technology practices according to security, compliance and regulatory requirements, and is kept current. Implementation of work in … central lakehouse with real-time and batch capabilities. Establish and maintain enterprise-wide data governance, including lineage, quality, and controls. Provide scalable tooling for BI, reporting, and self-service analytics across the organisation. Enable ML/AI capabilities through robust pipelines, MLOps practices, and model monitoring. Ensure compliance with data privacy and financial regulations (e.g., GDPR, PSD2). Foster a … high-performing data engineering team with strong culture, mentoring, and career paths. Champion cross-functional collaboration with risk, compliance, product, and analytics teams. Finance is the oxygen of the economy. Acting transparently and with expertise, we deploy finance responsibly to support people and businesses, acting ... Boost your career Find thousands of job opportunities by signing up to eFinancialCareers today. More ❯

Job summary An exciting opportunity has arisen for a Senior Health Intelligence Analyst to join the Data & Analytics team within the newly established Value Transformation directorate of NHS Wales Performance and Improvement. The work will be wide ranging and varied as the team is tasked with providing a health intelligence service to the range of Directorates within NHS Wales Performance … Networks & Planning directorate but will also contribute to the wider remit of the service and react to changing priorities of our partners. Main duties of the job The Data & Analytics team encompasses data, analysis, information and knowledge, ensuring decision makers have the right intelligence at the right time to improve the quality, efficacy and efficiency of services to improve patient … and develop new skills as part of a fast-growing team. Your day-to-day role will require you to have a vast array of skills in areas including analytics, statistics, data visualisation, negotiation and communication to deliver high-profile projects that meet the team's objectives. Where applicable, you will be given a range of responsibilities which may include More ❯

bolster our marketing, sales, customer success, and support teams, accelerating revenue growth and enhancing customer experiences. Your focus will involve maintaining and leveraging Hubspot to streamline sales processes, enhance analytics, and manage data integrity, ensuring our teams operate efficiently and effectively. The ideal candidate will possess a deep understanding of the SaaS tech landscape, adept at translating business needs into … Day-to-day you will: Utilize the full capabilities of Hubspot's sales, automation, and reporting hubs to support the sales team. This includes process improvements, measurement, tracking, and analytics from the top of the funnel to close. Leverage your expertise in Python, SQL, and BI tools to track and analyze key metrics such as pipeline growth, win/loss … robust understanding of Hubspot's sales, automation, and reporting capabilities, including custom objects and Hubspot scripting. Proficiency in Python, SQL, and experience with BI tools are crucial. Strong data analytics skills, with the ability to translate high-level sales strategies into system and process requirements, ensuring local execution and business impact. Experience with Dealhub and Gainsight is a plus, indicating More ❯

to help our customers be successful On day one we will expect you to have: Sales engineering/solution architect experience in a SaaS environment or relevant industry experience (analytics, data science, data engineering etc) Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of and experience with data … architecture, data analytics and cloud technology Hands on experience with SQL Ability to solve customer specific business problems and apply Snowflake's solutions Customer-facing skills to effectively communicate our vision to a wide variety of technical and executive audiences both written and verbal Preferred (but not required) to have: Hands on experience with Python Experience working with modern data More ❯

with Solvency II and SOX requirements and assist in prioritizing and developing new reports or data extracts. Responsibilities The Data Quality Lead is responsible supporting Head of Data and Analytics and wider business to establish and maintain robust Data Governance and Data Quality frameworks across the organization, ensuring consistent adherence to standards so that BLS data remains well-defined, accurate … data quality and data governance frameworks. Good understanding of data quality tools and triaging. The ability to deal directly with business functions and interpret their thoughts into successful data & analytics solutions. Required Toolsets: DQ Pro Microsoft SQL Server Power BI Required Qualifications: Degree Level or above (Science, Maths, Computing, Engineering or related subject preferred More ❯

Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … Holistic Thinking: Consider components and systems while considering a holistic user experience. Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction. Data-Driven Development: Utilize analytics to inform product decisions and improve features. Continuous Improvement: Participate in code reviews and contribute to improving our development processes. Stay Current: Keep up-to-date with the latest industry … search these words to find applicants that read this and see they're human. Job type: Remote job Tags software design frontend docker support code devops education cloud content analytics engineer backend fullstack digital nomad Sent 269 days ago Apply on external site Share on Facebook Share on Twitter Share on LinkedIn Share via Email Back to index More ❯

Design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS. Architect and implement scalable data pipelines and services that support business intelligence and analytics platforms. Collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions. Champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement. … SAS Studio, VA, VI). Platform LSF, Jira, Platform Support. GIT. Strong expertise in ETL tools: Pentaho, Talend. Experience with data virtualization using Denodo. Proficiency in SAS for data analytics and reporting. Oracle (good to have). Solid understanding of Agile and Scrum frameworks. Hands-on experience with DevOps tools and practices (e.g., Jenkins, Git, Docker, Kubernetes). Strong SQL More ❯

purpose, belonging and wellbeing. About the team Protecting our customers and business from fraud is at the heart of what we do. You'll join our dedicated Fraud Risk Analytics team of 5 (within our Credit Risk department of c.60 FTE) working in a fast-paced, collaborative environment where your ideas can make a real impact. We're responsible for … . Strong hands-on experience with SQL, SAS, Python or equivalent - you can interrogate large datasets with confidence. Advanced Excel skills. Experience with fraud strategy, credit risk, or related analytics (experience with FICO Blaze Advisor or other decision engines is a plus). Excellent problem-solving skills - you enjoy untangling complex issues and turning analysis into clear, actionable recommendations. Great … re comfortable presenting to senior stakeholders and influencing decisions. A collaborative, adaptable approach - you thrive in a fast-changing environment with multiple moving parts. If you're passionate about analytics and using data to tackle real-world problems, we'd love to hear from you. Some of our benefits Flexible, hybrid working model Inclusive culture and environment, check out our More ❯

you will research and provide actionable guidance to leaders in customer service and support. You'll focus on helping organizations develop and optimize digital service channels, use data and analytics to design and deliver service, and apply the latest technologies, including GenAI, to create more effective and engaging customer experiences. Your insights will help clients solve complex challenges, improve their … Experience working in the Customer Service or Customer Support function, specifically with experience leading the operations of customer service and support, customer experience, or customer service and support data & analytics functions . Bachelor's Degree, with 12+ years' experience in self-service capabilities and 5+ years' within AI for customer service or support . Subject matter expertise, with demonstrated knowledge … of managing data and analytics teams, and experience inspiring budget investment. Deep knowledge of Heads of Customer Service and Support initiatives, goals, objectives, and business value ROI. Strong organizational skills: ability to work under tight deadlines and produce high quality deliverables. Demonstrate excellence in research and writing ability. Strong written and verbal proficiency, analytical and presentation skills; ability to engage More ❯

type Remote locations GBR-LONDON time type Full time posted on Posted 30+ Days Ago job requisition id R Customers trust the Alation Data Intelligence Platform for self-service analytics, cloud transformation, data governance, and AI-ready data, fostering data-driven innovation at scale. With more than $340M in funding - valued at over $1.7 billion and nearly 600 customers, including … trends to position Alation as the clear market leader. What You Need: Deep Industry Expertise: 8+ years of experience successfully selling SaaS enterprise software, particularly within the data intelligence, analytics, or business intelligence sectors. Proven Track Record: Demonstrated success in achieving and exceeding sales quotas for complex enterprise solutions. Technical Fluency: Strong understanding of the data ecosystem, including data cataloging … governance, and analytics, with the ability to effectively communicate technical value propositions to both business and technical stakeholders. Sales Excellence: Familiarity with modern sales methodologies such as MEDDPICC, Force Management, or Value Selling, with the ability to tailor these frameworks to unique customer scenarios. Strategic Thinking: Exceptional problem-solving and analytical skills, with a talent for identifying customer pain points More ❯

we power financial and operational planning solutions for the world's best brands. Thousands of enterprises use our technology to optimize resources, drive growth, and ensure profitability. With advanced analytics and forecasting, plus AI-driven insights, customers transform complex, real-time data into actionable intelligence. What's been key to our success? Our people-we value everyone's unique perspective … the WW Head of Sales Operations , you'll also act as the primary liaison between regional sales and global operations-leading process improvements, managing key projects, and delivering the analytics and intelligence that help transform opportunity development and consulting impact. Key Responsibilities: Field Operations Management: Oversee regional field operations to ensure the effective execution of sales strategies, seamless support for … global leadership. Data Analysis & Insights: Leverage data to evaluate sales performance, uncover trends, and deliver actionable insights. Build and maintain dashboards and reports to monitor key metrics. Implement sales analytics, business intelligence, and market insights to assess consulting impact on opportunity development. Support major initiatives through ad hoc analysis and develop executive-ready collateral, including dashboards, presentations, and performance summaries. More ❯

our manufacturing sites. Key Requirements Design and implement end-to-end digital architectures integrating MES, SCADA, PLCs, ERP, and IoT platforms. Lead smart factory initiatives including predictive maintenance, quality analytics, and OEE improvement. Define standards for connectivity, cybersecurity, and interoperability between IT and OT systems. Collaborate with production, maintenance, IT, and vendors to align solutions with business outcomes. Evaluate and … deploy technologies like edge computing, data historians, and cloud IoT platforms. Ensure compliance with IEC 62443, ISO 27001, and other industry regulations. Support deployment of manufacturing analytics and AI-based solutions. Maintain high-quality documentation and facilitate knowledge transfer across teams. Travel required: approx. 30%. About You Certifications in TOGAF, AWS Solution Architect, ISA-95, or IEC 62443 are More ❯

Senior CRM & CX Manager, Global CIX (Mat Cover) Ref #: W162740 Department: Data Analytics City: London State/Province: London Location: United Kingdom Company Description Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren … creating worlds and inviting people to take part in his dream and his lifestyle. The Consumer Intelligence and Experience (CIX) organization is focused on leveraging consumer insights and predictive analytics to drive personalized consumer experiences at scale. This team manages all aspects of market research, customer segmentation, first party data build up and consumer activation (Acquisition and Retention) along the … business segments, including results packaging and development of management presentations Team management and leadership, communications and building collaborative internal relationships Strong hands-on experience working with real-world advanced analytics and data challenges and managing a complex portfolio and multiple stakeholders in a fast moving, dynamic and matrixed team and business environment More ❯

a hands-on role where your data expertise will directly influence digital marketing strategy and business growth. What do you need to succeed? 4+ years' experience in digital marketing analytics, ideally in a fast-paced or scale-up environment. Strong skills in campaign performance analysis across paid media, CRM/email, SEO analysis, and conversion funnels. Proficient in SQL, with … experience working in large datasets. Python is a bonus. Hands-on experience with Google Analytics, Tableau (or similar BI tools), and marketing platforms. Familiarity with marketing automation tools (e.g., Braze) and CRM systems (e.g., Salesforce, HubSpot). Strong commercial acumen - you understand ROI, customer funnels, and optimisation levers. Confident communicator - able to present insights clearly and influence non-technical stakeholders. More ❯

and new infrastructure that is critical to the environment, economy and everyday living. We are primarily data driven with domain expertise delivering insights to water networks and assets using analytics, presentation, machine learning and AI that is SAAS and cloud based. About the role: Working as part of a development and delivery team, designing, developing, implementing, testing, maintaining, supporting and …/deployment automation Experience of AWS services Free parking at our Belfast office Private medical and dental insurance 24 days+ annual leave Electric vehicle scheme Apply here A leading analytics provider in the wastewater space. Our insight helps wastewater utilities better manage their networks. UK Tel: ROI Tel More ❯