26 to 50 of 295 Customer Segmentation Jobs in England

Technology Lead to own our tech stack (systems, tools, integrations) that powers our CRM engine. You’ll play a key role in helping us scale our CRM operations, improve customer engagement, and unlock new levels of efficiency and personalisation. This role is perfect for someone who thrives at the intersection of marketing, data, and technology — a strategic thinker who … Liquid), and SQL. Desirable Experience in fast-growing, product-driven Fintech/Financial Services companies. Background in lifecycle marketing or product management. Familiarity with AI-driven CRM technologies for customer segmentation, predictive analytics, ML modelling for customer insights, and personalisation. Additional Information We’re committed to diversity, equity, and inclusion. We believe diverse teams are stronger and More ❯

solutions across the consumer products sector. You will be responsible for developing and executing comprehensive product marketing strategies to position our solutions as industry-leading, drive demand, and ensure customer satisfaction. Responsibilities Product Strategy: Collaborate with the product management team to shape product strategies and roadmaps, ensuring alignment with market needs and customer demands. Market Analysis: Conduct in … depth market research, competitive analysis, and customer segmentation to identify key opportunities and threats. Use data-driven insights to inform product decisions. Go-to-Market Strategy: Develop and execute go-to-market plans for new product launches and feature updates, including messaging, pricing, and distribution strategies. Messaging & Positioning: Craft compelling value propositions and messaging that resonate with target … to educate and engage prospects and customers. Demand Generation Partnership: Collaborate with the demand generation team to create and execute marketing campaigns that drive qualified leads and revenue growth. Customer Advocacy: Foster relationships with satisfied customers and turn them into advocates who can provide testimonials, references, and case studies. Analytics and Measurement: Establish key performance indicators (KPIs) and regularly More ❯

Technology Lead to own our tech stack (systems, tools, integrations) that powers our CRM engine. You’ll play a key role in helping us scale our CRM operations, improve customer engagement, and unlock new levels of efficiency and personalisation. This role is perfect for someone who thrives at the intersection of marketing, data, and technology — a strategic thinker who … Liquid), and SQL. Desirable: Experience in fast-growing, product-driven Fintech/Financial Services companies. Background in lifecycle marketing or product management. Familiarity with AI-driven CRM technologies for customer segmentation, predictive analytics, ML modelling for customer insights and personalisation. Additional Information For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. More ❯

scientific expertise. You will manage a diverse team of data scientists, business intelligence and data engineers, working collaboratively to deliver high-impact scientific solutions and scalable systems to improve customer experience and drive business growth. The role focuses on identifying and solving ambiguous, high-value problems using state-of-the-art methodologies in machine learning (ML) as well as … models, analytics systems, and scalable architectures to support e-commerce. Explore novel scientific approaches and contribute to advancements in areas such as sales automation, product recommendation, pricing optimization, and customer segmentation. Stay abreast of industry developments to inspire and implement state-of-the-art solutions, particularly in GenAI. • Stakeholder Engagement: Represent scientific and technical initiatives to senior leadership, articulating … trade-offs and driving consensus. Collaborate across geographies and functions to increase penetration of Payment Products, and leverage data to recommend deprecations or new ways of operating. Together, improving customer experience and operational scalability. • Operational Excellence: Develop the data foundation and metrics to enhance operational transparency and decision-making. Manage day-to-day technical operations, ensuring quality and efficiency More ❯

style. We Are One: For Love | For Diversity | For Change | For Equality | For Kindness | For Freedom | For Unity | Against Racism. We are looking for a detail-oriented and analytical customer data professional to head up a newly formed Team. The ideal candidate will be responsible for analysing and interpreting customer data to provide actionable insights that drive business … decisions, enhance customer experiences, and improve overall marketing strategies. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams. The successful applicant will have previous experience with Customer Segmentation and Analysis, not necessarily from a fashion background. The … Hard, Be Positive, Know What Good Looks Like, Own Your Own Future, Look For Solutions, Be a Part of a Team, Speak Up, Be Honest. Data Collection & Management: Utilise customer data from multiple sources (CRM systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of More ❯

Email Marketing Analyst - Customer Lifecycle Focus Join to apply for the Email Marketing Analyst - Customer Lifecycle Focus role at Fractal Email Marketing Analyst - Customer Lifecycle Focus 1 week ago Be among the first 25 applicants Join to apply for the Email Marketing Analyst - Customer Lifecycle Focus role at Fractal Get AI-powered advice on this job … and more exclusive features. It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Email Marketing Analyst - Customer Lifecycle Focus UK Remote Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human … by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal We are looking for a highly analytical and strategic Email Marketing Analyst with a focus on Customer Lifecycle Marketing. In this role, you will be responsible for analyzing and optimizing email campaigns throughout the entire customer journey—from acquisition to retention to reactivation. You will More ❯

our team. Based at our Head Office in Digbeth , the successful candidate will drive data-led decision-making across our marketing activities. Using Salesforce Marketing Cloud, focusing on optimising customer segmentation, refining audience selections, and analysing customer behaviours to support personalised, high-performing campaigns. You will also be responsible for delivering actionable insights to enhance customer engagement, retention, and loyalty, while ensuring data accuracy and regulatory compliance. By leveraging customer and marketing performance data, the CRM Insight Analyst plays a key part in supporting commercial growth and helping the business tell a compelling story through data. What you'll do: Apply analytical knowledge and measurement to determine the effectiveness of CRM, Marketing and Business … product development pipeline by providing insightful data analytics, models and metrics Support ad-hoc analysis requirements or data requests from key business stakeholders Aid the strategic development of the customer database, integrating new data sources and developing capabilities to meet business objectives Working with the CRM Manager to ensure the database is updated with analytical content to meet the More ❯

Job ID: Amazon Pay (India) Private Limited Amazon's vision is to be the earths most customer centric company . The ambition of the Amazon payments business is to transform payments in India . The payments data team provides data and insights to the partner verticals so as to enable them to take decisions. This a senior role. The … and building a business perspective. The individual will have to interact extensively with other members within the team, across business lines work in partnership with Machine Learning and Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratory analysis: Fetch … data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models to improve the efficiency of marketing and financing product roadmap inputs . 4) Establishing mechanisms for cross functional teams to consume customer insights to improve engagement along the customer More ❯

About The Role We at PEI Group are looking for a UX Researcher to join our welcoming, diverse, and growing team based here in London. PEI’s customer insights professionals play a critical role in transforming data into actionable insights that inform our business decisions and enhance our customer experience. You will work within a cross-functional team … to analyse customer data, develop insights, and provide recommendations that align with our strategic objectives. The ideal candidate will have a strong background in data analytics, customer behaviour analysis, customer enquiry and a passion for leveraging data to drive business growth. Key Responsibilities: Analyse customer data from various sources (e.g., GA, Heap.io, Delighted NPS, Dovetail, CRM … systems, surveys) to uncover trends, behaviours, and preferences. Develop and present actionable insights and recommendations to key stakeholders, including marketing, product development, and customer service teams. Collaborate with the UX, Product Design and Data Science teams to design and implement customer segmentation models and predictive analytics. Conduct market research and competitive analysis to benchmark our customer More ❯

Design, build, and maintain Looker dashboards and LookML models focused on SaaS-specific KPIs: ARR, MRR, churn, gross/net revenue retention (GRR/NRR), bookings, CAC, LTV, and customer cohorts. Own and optimize financial and revenue-related data models within Snowflake, collaborating closely with FP&A, RevOps, and Data Engineering. Integrate data across systems (e.g., NetSuite, Salesforce, Billing … and GAAP principles. Drive automation of executive and board-level reporting packages with a focus on strategic insights. Collaborate with senior finance and business leaders to support scenario modeling, customer segmentation, and forecasting. Ensure strong data governance and alignment on metric definitions across departments. Essential Bachelor’s degree in Finance, Analytics, Computer Science, or a related field; MBA More ❯

of the product team responsible for developing data solutions for our clients using Power BI and other relevant data and reporting technologies. Developing internal business analytics on product usage, customer segmentation, feedback analysis, product performance, and customer sentiment. Exploring new and existing frameworks/techniques for maximising product value from existing datasets for end customers. Cross-functional More ❯

through data-driven recommendations, identifying friction points and high-impact improvement areas Partner with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle Champion data-driven culture by sharing insights and building strong stakeholder relationships Design experiments and analysis frameworks to quantify ROI of conversion initiatives Lead by example in applying … for advanced analysis and modeling User research understanding to complement quantitative insights Curious, collaborative team player able to prioritise in a fast-paced environment Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Prior experience supporting data-driven product roadmaps and experimentation programmes A keen interest in trading and/or investing Basic knowledge More ❯

groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. About this role As a Senior Customer Analyst in our UK Analytics team, you will play a pivotal role in understanding and shaping the customer experience across our business. You’ll lead the charge on … analysing customer behaviour, lifecycle journeys, loyalty program performance , and customer base dynamics—delivering insights that influence strategic decisions and help us build lasting relationships with our customers. This is not just a numbers role – it’s about using data to uncover what drives our customers , creating compelling stories, and enabling the business to act decisively in a competitive … fast-changing environment. This is a hands-on technical role where you'll own and deliver end-to-end analyses, build smart customer segmentation, track key lifecycle and loyalty KPIs, and continuously improve how we understand and engage our customer base. Working closely with key stakeholders across Marketing, CRM, Product, and Data , you’ll be at the More ❯

on a mission to bring premium beer and cider from the Cotswolds to UK consumers (and hopefully beyond). They are rapidly expanding their product range, brand recognition and customer base. T&Pm has been working with Hawkstone for over a year with a dedicated team working across all of their marketing functions and we are looking to expand … this team - that’s where you come in! We need an experienced Customer Data Manager to design, implement, and optimise data processes across both B2B and B2C platforms. The key objective is to ensure our marketing data is of the highest quality, seamlessly integrated with our marketing systems, and leveraged to deliver personalized customer experiences. This role is … critical in driving data-driven decision-making and supporting our growth objectives through enhanced customer engagement and retention strategies. The marketing team is based in London, while the Hawkstone HQ is in the Cotswolds. You’ll be working with a small dynamic team of entrepreneurially minded individuals - including a marketing Platform Product Manager (Klaviyo), a CRM Campaign Manager and More ❯

As a member of the Customer Insight Analytics team, you'll be responsible for interrogating complex customer level datasets to produce meaningful analysis using Data Science tools and techniques. Analytics within the team range from product/channel specific requests to Board level metrics. Meaningful insights cannot be created in isolation and require collaboration across the Customer Strategy, Insights & Propositions (CSI&P) team, bringing together research, analytics and external insights. In addition, supporting cohesion across the organisation is critical to embedding our new customer strategy and ensuring customer need is always front of mind. This is an exciting opportunity to join the Customer Strategy, Insights & Propositions team within the Customer, Brand & Engagement … function. Our purpose is to develop rich customer insight to drive the segmented customer strategy and design and deliver compelling propositions to support all our customers. At the heart of the customer strategy are our 17 million customers, who are at the forefront of every decision we make as a business. Every role, no matter its accountabilities More ❯

As a member of the Customer Insight Analytics team, you’ll be responsible for interrogating complex customer level datasets to produce meaningful analysis using Data Science tools and techniques. Analytics within the team range from product/channel specific requests to Board level metrics. Meaningful insights cannot be created in isolation and require collaboration across the Customer Strategy, Insights & Propositions (CSI&P) team, bringing together research, analytics and external insights. In addition, supporting cohesion across the organisation is critical to embedding our new customer strategy and ensuring customer need is always front of mind. This is an exciting opportunity to join the Customer Strategy, Insights & Propositions team within the Customer, Brand & Engagement … function. Our purpose is to develop rich customer insight to drive the segmented customer strategy and design and deliver compelling propositions to support all our customers. At the heart of the customer strategy are our 17 million customers, who are at the forefront of every decision we make as a business. Every role, no matter its accountabilities More ❯

Office (COO) Report to: Head, Analytics & Management Information Role Purpose: Provide operational performance data insights and analysis by delivering timely inputs and recommendations for improvement in business processes and customer experience. Key Accountabilities: Recommend process/system changes based on data analytics. Communicate with stakeholders across operations to understand requirements and provide data analysis accordingly. Provide data insights for … different projects to enable right decisions. Deliver customer-specific reports and analysis for Ops SMT review meetings with customers. Automate daily reporting requirements through BO and deliver on time with quality. Increase the proportion of tickets raised through Colt Online. Deliver customer segmentation within network operations. Skills & Experience: Individual contributor with expertise and hands-on experience in More ❯

of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis and new product innovation. Provide data driven analysis via statistical, quantitative, machine learning, programmatic and heuristic methods. Relate statistical and other analytical results to real world … Useful skills to possess: Commercial data science experience Machine learning SQL Msc or PhD preferred in either of the following areas, statistics, physics, mathematics, Computer Science or Engineering Creating customer segmentation models knowledge of SAS Data Mining R/Python Proficient user MS Office This is a superb career opportunity in the Data Science space .This Company invest More ❯

in using data to drive business decisions, working closely with product managers, engineers, and senior stakeholders (including the CFO ). You'll be uncovering insights that fuel product development, customer growth, and commercial strategy. What you'll do: Senior Marketing Analyst - SaaS & Marketplace | £70,000 + Benefits | Hybrid (2x/week in Central London Office) Industry-Leading Tech Platform … in using data to drive business decisions, working closely with product managers, engineers, and senior stakeholders (including the CFO ). You'll be uncovering insights that fuel product development, customer growth, and commercial strategy. What you'll do: Lead analytical deep-dives to identify trends, opportunities, and areas for optimisation Deliver clear, actionable insights that influence high-level business … decisions Projects may include customer segmentation, cohort analysis, CLV modelling, pricing strategy, and product funnel performance Present findings to senior stakeholders and help define next steps Improve profitability and efficiency across user journeys - both customer and partner side ️ Tools & Environment: SQL , Redshift , Looker Collaborative product-focused teams, embedded in a modern data stack What we're looking More ❯

across the business Build, mentor, and scale a high-performing team of data scientists and analysts Create scalable solutions to solve real-world challenges like demand forecasting, personalisation, and customer segmentation Translate business problems into data science use cases and deliver measurable outcomes Use data-driven insights to streamline workflows and improve decision-making in areas like inventory … logistics, and customer journey Measure success through improvements in performance metrics like conversion, retention, stock accuracy, and customer satisfaction Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Expert in Python, R, SQL and a range of ML techniques (e.g., random forests, neural nets, reinforcement learning) Track record of delivering high-impact More ❯

business outcomes, revenue generation, and strategic decision-making. Provide strategic advisory services on data monetisation, analytics strategy, and competitive intelligence. Oversee the design and implementation of commercial analytics platforms, customer segmentation models, and revenue optimisation algorithms. Business Leadership & Team Development: Lead cross-functional teams combining data scientists, data engineers, and domain experts. Drive a culture of commercial awareness … understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives, delivering data science strategies to business stakeholders, and managing commercial analytics projects. Strong presentation and communication skills for non More ❯

business outcomes, revenue generation, and strategic decision-making. Provide strategic advisory services on data monetisation, analytics strategy, and competitive intelligence. Oversee the design and implementation of commercial analytics platforms, customer segmentation models, and revenue optimisation algorithms. Business Leadership & Team Development: Lead cross-functional teams combining data scientists, data engineers, and domain experts. Drive a culture of commercial awareness … understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives, delivering data science strategies to business stakeholders, and managing commercial analytics projects. Strong presentation and communication skills for non More ❯

business outcomes, revenue generation, and strategic decision-making. Provide strategic advisory services on data monetisation, analytics strategy, and competitive intelligence. Oversee the design and implementation of commercial analytics platforms, customer segmentation models, and revenue optimisation algorithms. Business Leadership & Team Development: Lead cross-functional teams combining data scientists, data engineers, and domain experts. Drive a culture of commercial awareness … understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives, delivering data science strategies to business stakeholders, and managing commercial analytics projects. Strong presentation and communication skills for non More ❯

team. Your expertise will be pivotal in driving Multiverse’s growth journey and enabling our internal go-to-market teams to efficiently generate revenue and scale within our existing customer base. This role will report directly to the Director of Revenue Strategy & Operations. Specifically, you will Business Partnering: Serve as a strategic thought partner to a UK Area Vice … pipeline progress, meeting velocity, productivity, and risk in pipeline segments. Rhythm of Business Planning: Lead the annual and quarterly sales planning processes, including the development of regional business plans, customer segmentation, productive capacity, and resource allocation. Analyze market trends, customer segments, and competitor activities to identify growth opportunities and mitigate risks, and define market strategies and objectives … years of experience specifically in relevant teams (e.g., GTM or Sales Strategy and Operations, GTM Chief of Staff). Strong project management skills, with experience working cross-functionally with Customer Success, Finance, Product, Sales, Marketing, and more. Proficient in handling and analyzing large data sets utilizing Excel and/or Google Sheets; bonus if you have experience with SQL More ❯

product managers to define key performance indicators (KPIs) and success metrics for growth initiatives. Create detailed reports and dashboards to communicate insights and recommendations to stakeholders. Provide insights on customer segmentation, targeting, and personalization strategies. Contribute to foundational data efforts, such as metric and model definition. Conduct A/B testing and experimentation to optimize conversion rates and More ❯