76 to 100 of 338 Customer Segmentation Jobs in the UK

hiring for a Contract Insight Analyst to support a global sportswear brand in delivering data-driven insights for brand and marketing campaigns. This is a key role within the customer and brand team, ideal for someone who can blend data expertise with commercial understanding and effective storytelling. What You'll Do: Contract Insight Analyst - £450/day | 7-Month … hiring for a Contract Insight Analyst to support a global sportswear brand in delivering data-driven insights for brand and marketing campaigns. This is a key role within the customer and brand team, ideal for someone who can blend data expertise with commercial understanding and effective storytelling. What You'll Do: Build and manage Power BI dashboards to deliver … clear, visual insights across teams. Use SQL to manipulate, query, and structure complex marketing and customer datasets. Conduct deep-dive analysis into brand campaigns and customer behaviour. Present findings and insights in a way that drives decision-making at a senior level. Develop repeatable and scalable logic to evaluate marketing campaign performance. Work closely with cross-functional teams More ❯

hiring for a Contract Insight Analyst to support a global sportswear brand in delivering data-driven insights for brand and marketing campaigns. This is a key role within the customer and brand team, ideal for someone who can blend data expertise with commercial understanding and effective storytelling. What You'll Do: Contract Insight Analyst - £450/day | 7-Month … hiring for a Contract Insight Analyst to support a global sportswear brand in delivering data-driven insights for brand and marketing campaigns. This is a key role within the customer and brand team, ideal for someone who can blend data expertise with commercial understanding and effective storytelling. What You'll Do: Build and manage Power BI dashboards to deliver … clear, visual insights across teams. Use SQL to manipulate, query, and structure complex marketing and customer datasets. Conduct deep-dive analysis into brand campaigns and customer behaviour. Present findings and insights in a way that drives decision-making at a senior level. Develop repeatable and scalable logic to evaluate marketing campaign performance. Work closely with cross-functional teams More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

eCommerce platform, mobile app, and 300+ retail stores, this is your chance to join an exciting team. As Principal Data Scientist, you’ll lead the data science function, supporting customer understanding, marketing effectiveness, and personalisation. From optimising campaign performance to driving loyalty and segmentation strategies, you’ll help put data at the heart of every customer interaction. … The Role: Lead, mentor, and grow a team of Data Scientists and Analysts focused on customer and marketing use cases. Build and deploy models that support personalisation, customer segmentation, lifetime value prediction, churn prevention, and marketing attribution. Partner closely with CRM, Digital Marketing, and eCommerce teams to deliver data-driven improvements across the customer journey. Leverage … advanced analytics to understand customer behaviour and optimise marketing spend and engagement. Ensure data quality and scalable infrastructure for marketing and customer data. Drive innovation by staying ahead of AI/ML trends in retail and customer analytics. Requirements: 5+ years' experience in Data Science, with a strong focus on customer or marketing analytics. Proven experience More ❯

Hive, MapReduce) This is an exceptional opportunity to work as a Data Scientist within a global analytics team, utilizing various big data technologies to develop complex behavioral models, analyze customer uptake of products, and foster new product innovation. Responsibilities include: Generating and reviewing large datasets through advanced quantitative and statistical techniques. Designing, building, and utilizing consumer behavioral forecasting models … across different business sectors to maximize opportunities. Leading initiatives to enhance data accuracy, availability, granularity, and coverage. Developing analytics strategies to improve customer and product strategies. Designing better data analysis processes for future use. Proactively deriving actionable insights from large datasets using advanced statistical techniques. Analyzing customer behavior patterns to optimize product performance and customer experience. Building … identify links between behavior and new opportunities. Manipulating high-level data and presenting findings clearly to senior stakeholders. Supporting the development of analytics strategies to enhance product plans and customer engagement. Ideal candidates are talented scientists with exceptional data analysis and problem-solving skills, capable of discerning hidden patterns and signals within financial markets. Company: Recruitment agency Qualifications: Commercial More ❯

Join us as a Customer Lifecycle Management Optimisation Manager, where you will focus on driving early engagement with new customers during the critical first 90 days of their relationship with us. Your day-to-day will involve defining and measuring success metrics, using data and insights to assess performance, and tailoring communications through customer personas. You will explore … how best to engage customers across various channels-such as email, in-app banners, and colleague prompts with the goal of increasing product adoption and deepening customer relationships. To be successful as a Customer Lifecycle Management Optimisation Manager, you should have the following experience: Stakeholder management - collaborating with stakeholders up to Director level. Proven ability to develop tailored … multichannel communication strategies aligned to customer segmentation and designed to drive engagement through targeted messaging and impactful engagement plans. Excellent analytical skills - adept at identifying trends, extracting meaningful insights, and effectively presenting findings to inform strategy and decision-making. Some other highly valued skills include: Experience applying behavioral science principles to drive positive customer outcomes. Expertise in More ❯

commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate … hypotheses, and recommend actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data … Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies. Google Cloud Certified Professional Data Engineer certification is More ❯

commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate … hypotheses, and recommend actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data … Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies. Google Cloud Certified Professional Data Engineer certification is More ❯

commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate … hypotheses, and recommend actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data … Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies. Google Cloud Certified Professional Data Engineer certification is More ❯

THE ROLE As a CRM Coordinator , you will oversee the creation, execution, and optimization of email marketing campaigns for multiple clients, ensuring they align with brand objectives and drive customer engagement. You will collaborate with internal teams to develop strategies, analyze performance data, and enhance segmentation and targeting efforts. This role is perfect for a detail-oriented marketer … paced, dynamic environment. KEY RESPONSIBILITIES Brief, write, and manage email campaigns while maintaining a marketing calendar across multiple clients Build, test, and deploy email campaigns and automations to enhance customer engagement and experience Maintain and enhance customer segmentation and targeting strategies for various brands Collaborate with internal teams to align email marketing strategies with broader brand marketing … Job function Marketing, Advertising, and Administrative Industries Entertainment Providers and Spectator Sports Referrals increase your chances of interviewing at Legends by 2x Sign in to set job alerts for “Customer Relationship Management Coordinator” roles. London, England, United Kingdom 2 weeks ago Hammersmith, England, United Kingdom 1 week ago City Of London, England, United Kingdom £30,000.00-£35,000.00 More ❯

commerce, such as product feed management and bid optimization based on real-time data. Apply advanced data modelling techniques to identify key data aspects and categorise information effectively (e.g., customer names as strings, income/purchase as metrics, premium customer as a category). Collaborate with stakeholders to identify user pain points through quantitative and qualitative data, formulate … hypotheses, and recommend actions to improve customer experience and web performance. Create comprehensive reports on data availability and enhance the presentation of availability information to customers. Utilize machine learning libraries for attribution and propensity modelling. Mentor junior data engineers and contribute to the overall data strategy. Qualifications Extensive experience as a Data Engineer, with a strong background in data … Google Marketing Products integration, including Google Analytics, CM360, SA360, and DV360. Experience with attribution modelling and propensity modelling. Understanding of paid media campaign insights and optimization. Proven ability in customer segmentation, profiling and activation. Collaborate with marketing teams to design and implement targeted customer segmentation and activation strategies. Google Cloud Certified Professional Data Engineer certification is More ❯

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 consumer journey (Media, CRM, Clienteling), for all brands and channels across our global organization. … and highly organised individual to join the CX Strategy function. The successful candidate will be a data literate and analytically minded individual who will help develop and deliver critical customer centric and data projects enabling the CX vision and strategy, and ensure its regional implementation and successes while elevating the Brand with a fashion and luxury sensitivity. Essential Duties … Responsibilities KEY RESPONSIBILITIES DRIVE AND DELIVER THE ROLL OUT OF INITIATIVES SUPPORTING GLOBAL CX STRATEGY & VISION Manage strategic customer projects aligned to data strategy and marketing campaigns. Work collaboratively with regional CIX teams (EMEA, US, APAC) to ensure their regional roadmaps are aligned and prioritized against the global vision and objectives. Ensure full consistency and partnership across regions. Report More ❯

success. This could include travelling and working in amazing HX hubs both on sea and land. From our impressive new Headquarters in London to our state-of-the-art Customer Service Centre just opened in Prague as well as various offices across Europe, the US and APAC. One thing you’ll find whether on sea or land is a … product backlog, and collaborating with stakeholders across Digital, Commercial, CRM, and Technology. This role requires a blend of product thinking, platform knowledge, and a data-led approach to driving customer value Key Responsibilities Define, prioritise and manage the CRM product roadmap across Salesforce Sales Cloud, Marketing Cloud, and loyalty integration touchpoints. Gather requirements from internal stakeholders across Commercial, CRM … and Digital teams to shape prioritised backlog. Work closely with Marketing and Loyalty teams to deliver customer segmentation, lifecycle journeys, and campaign enablement tools. Act as product lead for CRM capability enhancements, overseeing platform integration work with Salesforce engineering partners. Monitor CRM campaign performance and develop KPIs to assess impact on retention and rebooking. Collaborate with CRM and More ❯

planning? If so, we invite you to join our team as a Commercial Excellence Executive at Novo Nordisk. In this role you will: Ensure data integrity and accuracy of customer and frontline activity data (Data Lake, QlikSense). Drive adoption and usage of IO Engage as a CRM tool, collaborating with cross-functional teams and supporting business activities. Lead … key process improvements for customer segmentation, profiling, and activity planning to align with sales capacity. Perform regular analyses of field force performance, incentive schemes, and propose data-driven improvement plans. Support insights generation through data modelling and statistical techniques to inform business strategies. You will also implement and oversee tools that track customer activities and investments, including … landscape being fundamental. Additionally, strong stakeholder management skills and effective communication are essential, along with experience presenting project outcomes to end users. About the department You will join our Customer Engagement team, based at our office in Gatwick. Our team is dedicated to leveraging data to drive business insights and optimise customer engagement. We work in a dynamic More ❯

ensuring our digital presence is optimised and leads are tracked accurately. This individual will support the Marketing Manager with managing the CRM and website analytics, providing insights into the customer journey and supporting top-of-funnel strategies. This is an ideal position for a candidate who is passionate about digital marketing and has strong analytical skills to support high … get all the time you need to attend studies and complete course work. Key Responsibilities: CRM Management & Data Analysis: Support the Marketing Manager with the CRM data quality and customer segmentation and support lead scoring and management within the system. Provide analytics on lead performance and customer journey insights to support lead generation and nurturing efforts. Develop More ❯

to answer big questions: How can we acquire more high-value partners? What does profitability look like by salon, region, or cohort? How do we optimize pricing and drive customer loyalty? Expect to deep dive into customer segmentation, lifetime value, cohort behaviour , and funnel performance -all powered by a strong modern stack: Redshift, SQL, Python, and Looker … . You'll thrive in this role if you: Love solving business problems with data Have strong SQL and some Python experience Have worked on customer analytics, growth or pricing problems Can confidently present to senior stakeholders You'll be working with experienced Lead Analysts, and the CFO will be one of your key stakeholders. Hybrid - 2 days per More ❯

data in building a smarter, faster, and more scalable B2B platform. In this pivotal role, you'll shape and execute our data vision, turning insights into action that drives customer value, product innovation, and revenue growth. You'll lead a team of experts and collaborate across departments to align data strategy with our go-to-market and product roadmap … playing a foundational role in how we grow. Responsibilities: Define and Execute Data Strategy: Build a clear and scalable data strategy that supports our product-led growth model, customer success, and market expansion. Drive Commercial Value from Data: Identify ways to use data to improve monetisation (e.g. upsell triggers, data as a service), enhance onboarding, and optimise retention. Inform … Product & GTM Decisions: Collaborate closely with Product, Commercial and Marketing to use data for segmentation, targeting, and personalisation strategies. Own Metrics and KPIs: Establish the metrics that matter-usage behaviour, digital satisfaction etc -and make them accessible across the org. Build Insights Infrastructure: Work with engineers or vendors to implement and manage the tools needed to deliver reporting, dashboards More ❯

etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer segmentation, and campaign planning. Technical proficiency: Familiarity with programming languages like SQL and basic understanding of APIs to facilitate data integration. Project management skills: Ability to analyse and More ❯

the analytic processes in their area of expertise, including when and why they would favour specific approaches. Familiarity of applying supervised and unsupervised learning algorithms to problems related to customer segmentation, behaviour prediction, response modelling, recommendations, optimisation and/or similar. Programming experience with R and/or Python. Job management/Teamwork: Collegial and collaborative; carries out More ❯

to manage our credit risk and drive improvements to our credit policies. Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour. Understanding core problems faced by our Payments & Lending team and leading the team to overcome them - this could include understanding user’s solvency, customer segmentation, payment More ❯

Ledger) Experience in data matching, data profiling, and data transformation Experience in some of the following: business process analysis, financial control analysis, forensic investigation, revenue, cost and margin analysis, customer segmentation, sensitivity analysis, ERP analytics Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using More ❯

behavioural insights. Harden and evolve the analytics stack: Own continuous improvements to data quality, modelling, and warehouse efficiency. Become a strategic partner: Collaborate closely with leadership on strategic questions-customer segmentation, pricing experiments, expansion bets. Requirements You must be an ambitious, curious, relentless and no ego problem-solver excited to build the future of shopping. Additionally: 3+ years More ❯

Ledger) Experience in data matching, data profiling, and data transformation Experience in some of the following: business process analysis, financial control analysis, forensic investigation, revenue, cost and margin analysis, customer segmentation, sensitivity analysis, ERP analytics Strong skills in using Excel for data analysis Experience with data visualisation software (PowerBI preferred) to create clear and insightful visualisations Experience using More ❯