126 to 150 of 2,788 Analytics Jobs in the UK

category pages Monitoring customer journey using third party softwares (i.e hotjar) and suggesting improvements based on customer behaviour. Extract and review data using Google Analytics as well as our in-house data warehouse to help make decisions across the website Tagging up areas of the website where required to appropriately … Demonstrable experience working with e-commerce websites Understanding of website metrics and how to interpret data to make informed decisions Experience in using data analytics tools, i.e. Google Analytics, Tableau or equivalent data mining tools data Good Excel & and Google Analytics skills, comfortable with analysing large quantities of data and more »

Solid understanding of marketing, both online and offline approaches, with the ability to effectively communicate strategies to clients. Working knowledge of PPC, SEO, Web Analytics, and Conversion Rate Optimization (CRO). Google Ads, Google Analytics, and Bing Ads qualifications. Familiarity with Kenshoo software is preferable. Working knowledge of Google Tag more »

display campaigns to maximize engagement and conversions. • Collaborate closely with the web/creative team to enhance onsite conversions and user experience. • Utilize Google Analytics 4 to set up tracking and measure conversion metrics effectively. • Produce comprehensive channel reports and dashboards across various analytics platforms. • Stay abreast of search engine … proven track record of delivering measurable ROI. • Minimum of 1 year of experience in agency or client PPC management. • Proficiency in Google Ads, Google Analytics 4, and Tag Manager. • Demonstrated ability to execute from brief to build to performance, including tracking and ROAS optimization. • Fluency in English (both verbal and more »

senior figure, this role is expected to deliver briefs autonomously and interact with staff across the board: engineering, marketing, sales, customer success, product management, analytics, delivery management and quality assurance. Key Accountabilities Define design requirements and identify measures of success Define the objectives behind each design initiative in collaboration with … success are clear and agreed. Analyse any relevant and available evidence to guide design decisions Review any relevant, existing data from user testing, product analytics and across the business for each design initiative. Synthesise and share analyses with stakeholders when necessary to enable user-centered decision-making. Facilitate ideation, document more »

work is welcomed for Engineers within the UK and unable to relocate. You would join a team working on AI/ML/Data Analytics acceleration. Key skills Strong SystemVerilog skills. Strong micro-architecture skills; ability to take ML/AI/Data Analytics concepts and come up with micro more »

years. This longevity has enabled us to build an extensive network of both clients and candidates who trust us. Our global Risk and Analytics practice capability expands across all functions of Risk and Analytics on both a permanent and interim basis. We recruit across the full spectrum of Risk disciplines … inclusive of Credit, Market and Operational Risk, covering Quantitative Analytics, Risk Management, Business Analysts, Project/Programme and Product functions, from Analysts and Managers through to Managing Directors and C Suite Roles. The Opportunity: We are seeking a Recruitment Resourcer to support our growing, reputable, successful Private Practice team in more »

Hi Linkedin, Really proud to be on the search for a CFO to join a Series B business that we've been working with since seed stage! They are truly a wonderful business with a fantastic senior leadership set up more »

used? Expertise in Azure products is essential. Strong proficiency in SQL and Python. Knowledge of Data warehousing technologies and concepts. Tech Stack – Azure Synapse analytics, ADLS, Apache Spark, Pyspark, Terraform, Databricks, Azure Data Factory. Excellent communication skills. Knowledge of PowerBI Troubleshooting within Microsoft Azure Benefits: This position is a mid more »

Scientist to join their dynamic team. Job Summary: As a Data Scientist, you will be integral to our client's mission by leveraging data analytics and machine learning to enhance research and development efforts. You will collaborate with cross-functional teams, including biologists, chemists, and software engineers, to analyze complex more »

it into an actionable blueprint and help the client get it done. Who have deep expertise in operationalising strategy, process design, digitisation, data and analytics, automation, technology and change. RESPONSIBILITIES: Analyse and organise raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct more »

The Role: As a Risk Analyst, you will play a critical role in managing portfolio risk and supporting strategic growth, with Key responsibilities including: Analytics and Portfolio Management: Leading efforts to assess lending book risk, inform strategic decisions, and ensure robust monitoring processes. Data Science Integration and Reporting: Developing and more »

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries more »

NLP tools and decision-support systems. The Role: The Machine Learning Engineer will: Develop web apps and back-end platforms for ML and data analytics tools. Create ETL pipelines from various data sources. Influence infrastructure design decisions. Collaborate with data scientists and infrastructure teams. Manage ML model deployment and data more »

PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML-based analytics products and distributed systems. Knowledge of model servers such as Triton Inference Server. Experience in microservices, event-driven architecture, and cloud scalability. Other desirable skills more »

and calculations, particularly as they apply to the banking or investment banking industry. Experience with regulatory capital reporting software, such as AxiomSL, Moody's Analytics, or Wolters Kluwer, is also important. Strong analytical and financial modelling skills, proficiency in Excel, and experience with accounting software The ability to work with more »

and growth goals. Spearhead the adoption of digital technologies and automated systems across manufacturing operations. Develop strategies to utilise software-driven controls and data analytics to enhance production capabilities. Certification and Compliance Management: Direct the acquisition of crucial aerospace certifications such as AS9100. Manage compliance with all relevant industry standards more »

in collaboration with Portfolio, Architecture and Product Managers Leading and delivering Low Level Designs related to integration delivery. Working with IT Operations, Data and Analytics, Architecture, and Security teams to ensure that solutions are designed and delivered against the enterprise architecture, security standards and successfully transitioned into production Leading, developing more »

Operations, Quality Assurance, and Third-Party Manufacturing groups. The team delivers end-to-end solutions from bespoke embedded firmware to database design and data analytics/reporting tools within a highly regulated environment. Key role responsibilities include: Help product owners define technical requirements. Develop software solutions (C#) in line with more »

Engineer Up to £110,000 London (Hybrid 1-2 days onsite per month) The Company: This start-up focuses on an AI-powered construction analytics platform that turns site data into real-time insights! They are looking for a Senior Computer Vision Engineer to join their rapidly growing team. This more »

Inside IR35) – eDV Required Join a mission-focused security team that protects critical infrastructure worldwide! Join an expanding team developing a Cyber Processing and Analytics platform. The project uses Elastic Stack technologies for data storage, enrichment, querying, and visualisation. The team operates with an Agile methodology and a DevOps mindset more »

a solid engineer and a genuine people person with ambitions to help the collective succeed. The company is a specialist in developing statistics and analytics for sporting data across the globe. In essence, they hand-select their own raw data through in-house match analysts and transform this data into more »

develop backend services that support both iOS and Android mobile platforms Be focused on the end user’s experience and iteratively improve performance Implement analytics in all aspects of application and analyze results What are we looking for? Min 6+years of experience in developing mobile applications with React Native (or more »

Associate/Manager, Portfolio Insights & Analytics, Private Equity/Credit Fund, London Attractive Salary Central London Ref: WW10829 The Opportunity: Finatal is working with a very sought-after private equity/credit fund that is looking for an enthusiastic and experienced individual to join the Portfolio Insights and Analytics team. … recommendations. Assist in the preparation of presentations and reports for internal stakeholders and investors. Stay current with industry trends and best practices in portfolio analytics and reporting. Requirements: 4-5 years of experience in financial analysis, portfolio management, or related field. An accounting or other financial professional qualification is preferable. more »

activities, with a focus on Databricks solutions. Strong technical background in Databricks and related technologies. Extensive experience in consulting, advising clients on data and analytics solutions. Demonstrated success in team management, fostering a positive and collaborative work environment. Excellent communication and interpersonal skills, with the ability to build strong client more »

productivity, reduce waste, and incorporate lean manufacturing principles. Participate in cross-functional teams to implement Industry 4.0 technologies, such as IoT devices and data analytics, to optimise production processes. Collaboration: Work closely with other team members to ensure alignment with production schedules and seamless CAD/CAM operations integration. Documentation more »