801 to 825 of 3,370 Analytics Jobs in the UK

product improvement metrics, to guide product development and measure impact Monetization Insights : Evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend. Growth Analytics : Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities. Marketing Effectiveness : Partner with UA and performance marketing teams to … and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behavior. Proven track record designing and analyzing growth and monetization experiments . Experience with product analytics platforms Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset. Strong communication and storytelling skills — able to distill complex findings into clear recommendations for both technical and non … models . Basic proficiency in Python for statistical or predictive modeling. Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok). Background in consumer behavior analytics and retention modeling. Knowledge of advanced methods for monetization analytics (churn models, survival analysis, predictive LTV). Benefits Be the first dedicated product analyst at 44pixels — set the foundations for More ❯

candidate will play a pivotal role in measuring the impact of communications across traditional press, social media, and owned channels — with a strong focus on data automation, dashboards, and analytics pipelines . Responsibilities Monitor, summarise, and analyse media coverage across EMEA, delivering both qualitative and quantitative insights. Apply sentiment and trend analysis to contextualise local and regional media activity. Provide … data. Create and maintain interactive dashboards (e.g., Unidash), using APIs (Python/JavaScript) for automation. Quantify the impact of communications activity, establish KPIs, and prepare visual reports. Collaborate with analytics, data engineering, and communications teams to integrate press and media data with internal datasets. Minimum Qualifications 2+ years’ experience in media analysis, journalism, communications, research, or related fields . Bachelor … German, French, Italian, Spanish, Turkish, Arabic, Polish, Hebrew, etc.). Experience with media monitoring tools and media measurement projects. Knowledge of dashboard design and data visualisation libraries. Familiarity with analytics around press and social media monitoring . This is an opportunity to work on high-impact projects for a global tech leader , delivering insights that directly inform communications strategy across More ❯

The Company We're working with one of the UK's leading retail and e-commerce brands; a business that's experiencing rapid growth and investing heavily in data, analytics, and technology to stay ahead of the competition. With millions of customers, an ever-expanding online presence, and a dynamic product offering, data is at the heart of every decision … will design, deliver, and optimise scalable data solutions, ensuring the right data is available at the right time to drive value. Working closely with Software Engineering & the BI and Analytics teams, you'll help shape how data is modelled, consumed, and visualised, while championing best practices in engineering. As a Senior Data Engineer, you'll also act as a mentor. … and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. Build and enhance enterprise data warehouse models (facts, dimensions, star schemas). Collaborate with BI and Analytics teams to translate requirements into engineering solutions. Drive adoption of modern DevOps practices (CI/CD, cost optimisation, automation). Advocate for data across the business - this includes identifying opportunities More ❯

decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer … BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) PL More ❯

decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer … BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) PL More ❯

decision-making and drive self-service analytics. THE COMPANY: This business is moving toward a modern Gold Standard Medallion Architecture, with a focus on empowering teams through self-service analytics and scalable reporting. The data team is central to how finance operates, and your dashboards will have real visibility and impact across the business. THE ROLE: A Power BI Developer … BI dashboards Partner with finance stakeholders to gather requirements and deliver tailored reporting Build engaging visualisations that use data storytelling to influence decisions Drive the adoption of self-service analytics and reduce reliance on ad hoc queries YOUR SKILLS AND EXPERIENCE: A successful Power BI Developer will have the following: Power BI experience (end-to-end dashboard development) PL More ❯

customer focus, they use data and technology to deliver meaningful products and services to a wide audience. The business is scaling its data capabilities and is investing heavily in analytics to drive smarter decisions and long-term growth. The Role As a Product Data Scientist , you'll work closely with teams across the business to unlock insight, guide product strategy … and influence decision-making. You'll use advanced analytics, experimentation, and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Design experiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across … tools to empower stakeholders with self-serve insights. Conduct deep-dive analyses to support strategic initiatives and provide clear recommendations. Collaborate across functions to close data gaps and drive analytics best practice. Stay current on industry trends and champion innovative approaches to product data science. The Candidate Proven experience in analytical roles, ideally within a digital-first or tech-led More ❯

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm … learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series … knowledge sharing communityDevelop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systemsCollaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into productionDrive Firm wide initiatives More ❯

its Customer Experience team and investing in data-driven decision-making. This role sits within a collaborative CRM and data strategy function, driving customer acquisition, retention, and engagement through analytics and segmentation. The Role As a CRM & Data Strategy Analyst, you’ll work closely with senior analysts and CRM stakeholders to optimise campaigns and deliver actionable insights. You’ll be … and automation to streamline CRM processes. Collaborating with senior stakeholders to influence customer engagement strategy. Your Skills and Experience Strong SQL skills (essential). Hands-on experience in CRM analytics and campaign reporting. Experience in retail, e-commerce, or CRM-focused environments. Comfortable presenting insights to both technical and non-technical audiences. Python experience a nice to have Experience with More ❯

its Customer Experience team and investing in data-driven decision-making. This role sits within a collaborative CRM and data strategy function, driving customer acquisition, retention, and engagement through analytics and segmentation. The Role As a CRM & Data Strategy Analyst, you’ll work closely with senior analysts and CRM stakeholders to optimise campaigns and deliver actionable insights. You’ll be … and automation to streamline CRM processes. Collaborating with senior stakeholders to influence customer engagement strategy. Your Skills and Experience Strong SQL skills (essential). Hands-on experience in CRM analytics and campaign reporting. Experience in retail, e-commerce, or CRM-focused environments. Comfortable presenting insights to both technical and non-technical audiences. Python experience a nice to have Experience with More ❯

shape strategies that make a genuine difference, this is the place. ........ Read On . The Role We’re after a commercially minded Senior Analyst to join a collaborative analytics team at the core of customer engagement and portfolio performance. In an ‘Existing Customer Management’ setting, you’ll be hands-on with data, shaping strategies that build stronger relationships, boost … thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. • Credit Card industry experience • A proactive … the ability to juggle priorities without dropping the ball. Bonus Points For • MySQL, AWS, or other big-data platform experience. • Proven track record in consumer finance strategy. • Experience linking analytics to commercial decisions. What’s on Offer • Competitive salary, annual bonus, and regular pay reviews. • Hybrid working with London office presence. • Great benefits package: pension, private medical, life cover, enhanced More ❯

shape strategies that make a genuine difference, this is the place. ........ Read On . The Role We’re after a commercially minded Senior Analyst to join a collaborative analytics team at the core of customer engagement and portfolio performance. In an ‘Existing Customer Management’ setting, you’ll be hands-on with data, shaping strategies that build stronger relationships, boost … thinking, and take pride in delivering results that make a real impact. What You’ll Bring • Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience, credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. • Credit Card industry experience • A proactive … the ability to juggle priorities without dropping the ball. Bonus Points For • MySQL, AWS, or other big-data platform experience. • Proven track record in consumer finance strategy. • Experience linking analytics to commercial decisions. What’s on Offer • Competitive salary, annual bonus, and regular pay reviews. • Hybrid working with London office presence. • Great benefits package: pension, private medical, life cover, enhanced More ❯

its expanding member base. ROLE AND RESPONSIBILITIES Deliver insights across product, customer behaviour, and commercial performance Work closely with the Head of Data to design and optimise reporting and analytics solutions Analyse large datasets to identify trends, opportunities, and customer engagement drivers Support the business with clear, actionable data-driven recommendations Collaborate cross-functionally, engaging with stakeholders across commercial, product … and marketing teams SKILLS AND EXPERIENCE (Required) 2–4 years’ experience in analytics, ideally within e-commerce, subscription orgs, gaming, or another fast-paced industry Python, Looker, BigQuery Strong SQL skills with experience querying large datasets Hands-on experience with Looker and ETL processes Strong communication skills and commercial acumen — able to turn data into business insight Stakeholder management experience More ❯

its expanding member base. ROLE AND RESPONSIBILITIES Deliver insights across product, customer behaviour, and commercial performance Work closely with the Head of Data to design and optimise reporting and analytics solutions Analyse large datasets to identify trends, opportunities, and customer engagement drivers Support the business with clear, actionable data-driven recommendations Collaborate cross-functionally, engaging with stakeholders across commercial, product … and marketing teams SKILLS AND EXPERIENCE (Required) 2–4 years’ experience in analytics, ideally within e-commerce, subscription orgs, gaming, or another fast-paced industry Python, Looker, BigQuery Strong SQL skills with experience querying large datasets Hands-on experience with Looker and ETL processes Strong communication skills and commercial acumen — able to turn data into business insight Stakeholder management experience More ❯

Governance & Quality Establish data stewardship processes and governance frameworks Implement metadata standards, symbology conventions, and data validation mechanisms Leverage automation and AI/ML for data quality improvement Geospatial Analytics & Modelling Enable spatial analytics, economic modelling, and visualisation tools Support decision-making and public engagement through intuitive dashboards and maps Stakeholder Engagement & Use Case Delivery Conduct discovery workshops with stakeholders … of geospatial technologies (eg, ESRI, QGIS, FME, GeoServer) Experience with Legacy GIS systems (Intergraph, Smallworld) and data migration Familiarity with AI/ML applications in geospatial data quality and analytics Agile delivery experience and ability to lead cross-functional teams. Due to the volume of applications received, unfortunately we cannot respond to everyone. If you do not hear back from More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and deploying next … hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the wider business, serving … can work in a cross-functional environment, managing stakeholders across multiple stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data modelling and algorithm design experience. Design and deployment experience using Tensor Flow More ❯

Our blue chip client requires a SAP Business Intelligence specialist to deliver large scale corporate analytics data and visualization solutions. You will be responsible for understanding business needs and translating them into actionable insights through SAP Analytics Cloud and SAP Analysis Office. You will have exceptional business facing skills as well as proven experience in the following: Senior-level expertise More ❯

executing an engineering strategy aligned to the portfolio and global tech strategies. Working in the Design and Platform Performance domain, you willlead the technology side of web and mobile analytics for a platform with over 50 million visits each month, deliver the best user experiences and personalisation for talent and talent seekers. We built in-house large scale tracking platform … powered by Tealium, Kafka and Adobe Analytics, and successfully rolled it out to 10 of our brands. Along with the tracking we are owners of our AB testing tool Optimizely, our in-house Design System Genesys and Frontend Framework, which when put together powers the product development at scale using a data driven approach. You will play a vital role … of providing technical leadership to an engineering team; with excellent analytical, problem solving and influencing skills, resilient, open to change and results oriented Experience of coding and testing of analytics tracking code using Tealium iQ, Tealium Event Stream, and Adobe Analytics Experience of integrating data sources via web and hypermedia APIs Proficient in Web Technologies like HTML, CSS, JavaScript, React.js More ❯

Senior Product Director, Chemistry Apply locations: London, Amsterdam Time type: Full time Posted on: Posted 5 Days Ago Requisition ID: R98380 About Our Team Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare, and improve performance for the benefit of humanity. We serve the research, academic, and clinical communities through technology and content … analytics. Our solutions include extensive Scientific, Technical, and Medical content, analytics, and technologies, supporting R&D professionals, engineers, scientists, and marketing leaders to innovate and commercialize ideas, products, and processes. Our Life Sciences division focuses on Pharma, biotech, medical devices, and related industries, offering solutions in chemistry, biology, safety tools, datasets, and software. Position Overview The Senior Product Director, Chemistry … also encompasses managing the product's commercial strategy, including pricing, packaging, and evolving business models. The ideal candidate will have extensive Product Management experience, especially in leveraging data and analytics to innovate decision support solutions in Pharmaceutical R&D and Industrial Chemistry. Knowledge of Pharma R&D and Commercial Chemistry processes, from synthetic to medicinal chemistry, is preferred. Familiarity with More ❯

foster a positive Research policy environment Requirements Customer focus: exceptional customer focus with track record of innovation, evidence-based decision making and data-driven product experimentation SaaS workflow & data analytics portfolio: innovating, scaling and integrating a global SaaS workflow and data analytics portfolio, with disciplined prioritization across innovation, re-platforming, and legacy tech-debt remediation. Consistently delivering high-impact projects … and challenges of higher education and research institutions. M&A experience: experience in building partnerships, as well as identifying and integrating acquisitions GTM: taking a SaaS workflow and data analytics solutions portfolio to market. Education: bachelor's degree required; advanced degree preferred; 15+ years relevant experience Work in a way that works for you: We promote a healthy work/… 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 More ❯

a strong connection to business goals and client needs. Identify and prioritise opportunities to improve team performance and user experience, creating the conditions for market-leading solutions. Data, product analytics and success metrics Lead our product analytics capability to derive actionable insights and continuously optimise user experience. Work closely with Product Managers to define, track, and report on KPIs and … all tools and vendor solutions meet compliance, security, and accessibility requirements, working closely with Legal, Risk, and IT teams. Drive adoption and best use of product management, collaboration, and analytics tools. Communication & stakeholder enablement Educate Product, UX/UI, Engineering, Data, and Research teams on the product lifecycle operating model. Partner with Delivery Leads, Client Relationship Managers, and other business … deliver measurable impact. Strong analytical skills with a strategic, hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to More ❯

a strong connection to business goals and client needs. Identify and prioritise opportunities to improve team performance and user experience, creating the conditions for market-leading solutions. Data, product analytics and success metrics Lead our product analytics capability to derive actionable insights and continuously optimise user experience. Work closely with Product Managers to define, track, and report on KPIs and … all tools and vendor solutions meet compliance, security, and accessibility requirements, working closely with Legal, Risk, and IT teams. Drive adoption and best use of product management, collaboration, and analytics tools. Communication & stakeholder enablement Educate Product, UX/UI, Engineering, Data, and Research teams on the product lifecycle operating model. Partner with Delivery Leads, Client Relationship Managers, and other business … deliver measurable impact. Strong analytical skills with a strategic, hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to More ❯

a strong connection to business goals and client needs. Identify and prioritise opportunities to improve team performance and user experience, creating the conditions for market-leading solutions. Data, product analytics and success metrics Lead our product analytics capability to derive actionable insights and continuously optimise user experience. Work closely with Product Managers to define, track, and report on KPIs and … all tools and vendor solutions meet compliance, security, and accessibility requirements, working closely with Legal, Risk, and IT teams. Drive adoption and best use of product management, collaboration, and analytics tools. Communication & stakeholder enablement Educate Product, UX/UI, Engineering, Data, and Research teams on the product lifecycle operating model. Partner with Delivery Leads, Client Relationship Managers, and other business … deliver measurable impact. Strong analytical skills with a strategic, hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to More ❯

a strong connection to business goals and client needs. Identify and prioritise opportunities to improve team performance and user experience, creating the conditions for market-leading solutions. Data, product analytics and success metrics Lead our product analytics capability to derive actionable insights and continuously optimise user experience. Work closely with Product Managers to define, track, and report on KPIs and … all tools and vendor solutions meet compliance, security, and accessibility requirements, working closely with Legal, Risk, and IT teams. Drive adoption and best use of product management, collaboration, and analytics tools. Communication & stakeholder enablement Educate Product, UX/UI, Engineering, Data, and Research teams on the product lifecycle operating model. Partner with Delivery Leads, Client Relationship Managers, and other business … deliver measurable impact. Strong analytical skills with a strategic, hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to More ❯

a strong connection to business goals and client needs. Identify and prioritise opportunities to improve team performance and user experience, creating the conditions for market-leading solutions. Data, product analytics and success metrics Lead our product analytics capability to derive actionable insights and continuously optimise user experience. Work closely with Product Managers to define, track, and report on KPIs and … all tools and vendor solutions meet compliance, security, and accessibility requirements, working closely with Legal, Risk, and IT teams. Drive adoption and best use of product management, collaboration, and analytics tools. Communication & stakeholder enablement Educate Product, UX/UI, Engineering, Data, and Research teams on the product lifecycle operating model. Partner with Delivery Leads, Client Relationship Managers, and other business … deliver measurable impact. Strong analytical skills with a strategic, hands-on approach. Deep knowledge of product management practices, including discovery, experimentation, release management, and continuous delivery. Experience with product analytics platforms, research frameworks, and insights management. Exposure to AI-first product development or data-led automation is desirable. Excellent stakeholder management skills, able to communicate complex ideas with clarity to More ❯