1 to 25 of 30 Remote Customer Segmentation Jobs

key skills, experience and attributes we're looking for you to bring: Significant hands-on experience in data analytics (exploratory and descriptive analysis), preferably in a Marketing, CRM, or customer-focused role. Advanced SQL skills (analytical functions, window functions, pivots) — confident working with raw, unstructured data to build analysis-ready datasets. Strong grasp of marketing metrics, funnel performance, customer segmentation, and attribution models. Experience with data visualisation and BI tools (preferably Looker), and the ability to translate complex data into clear business insights. Familiarity with customer engagement and experimentation tools (e.g., Braze, Optimizely). Familiarity with product & marketing analytics tools would be ideal (e.g. Mixpanel/Amplitude, Google Analytics/GA4, etc.). Comfortable working in … based in central London 1-2 days per week. This is an immediate start vacancy. We work together. Your team and the people you will work with... As a Customer Marketing Data Analyst you'll be joining a central team of talented Analysts, reporting to the Digital Analytics Manager. You'll work closely with Marketing and CRM stakeholders to More ❯

SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customer segmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯

SENIOR CUSTOMER ANALYST LONDON – HYBRID - 2 DAYS A WEEK IN OFFICE SALARY – £70,000 + BONUS THE COMPANY A leading delivery marketplace connecting millions of customers with thousands of restaurant partners! THE ROLE As a Senior Customer Analyst, you will play a pivotal role in driving customer strategy and lifecycle optimisation across acquisition, retention, and loyalty. You … ll use advanced analytics and data storytelling to influence commercial and marketing decisions that shape customer growth. Key Responsibilities: Analyse and optimise customer behaviour across the lifecycle - acquisition, retention, churn. Deliver actionable insights that influence marketing and growth strategy. Run A/B and multivariate tests to evaluate campaign performance. Use SQL and Tableau/Looker to build … by identifying opportunities to move customers through key stages. Collaborate cross-functionally with analytics, marketing, and commercial teams. YOUR SKILLS AND EXPERIENCE Advanced SQL skills essential Strong background in customer, lifecycle, or marketing analytics. Experience owning analytical projects, e.g. customer segmentation, LTV modelling, churn reduction. Strong data storytelling skills - able to translate insights into commercial impact. Ideally More ❯

Performance Directors to drive and deliver the group's revenue ambitions. Commercial & Performance Analytics Partner with Strategic Initiatives and Commercials teams to diagnose, plan and solve complex business and customer related challenges. Partner with CCO and executives to influence corporate and business strategic priorities and decision making. Serve as a commercial thought leader, shaping strategy, challenging conventions, and elevating …/quarterly performance sessions and influence strategy development, backed by a deep understanding of key performance drivers and opportunities to optimise growth and efficiency. Provide actionable insights that enhance customer acquisition, retention, and lifetime value. Collaborate with finance and commercial teams to improve revenue forecasting, maximise campaign ROI, and refine P&L modelling. Operational & Functional Analytics Act as the … principal analytics partner to the CCO leadership and executive team. Identify operational inefficiencies and partner with teams to improve performance (e.g., payments, fraud, CRM, customer support). Partner with central BI and Engineers to rapidly develop deep, interactive real time reporting and dashboards to support day to day business execution. Consumer & Product Analytics Partner with central teams to develop More ❯

in revenue and establish Remote as the international leader in global HR and remote work. You'll design and own the strategies that drive engagement, retention, and long-term customer value. This role is both strategic and hands-on — building a high-performing team while innovating across the customer journey to maximize impact. What You Bring Proven track … record in lifecycle, CRM, or retention marketing, with success at scale in fast-paced environment. Expertise in building and scaling customer lifecycle programs across multiple channels. Strong analytical skills with a track record of leveraging data to inform strategy and execution. Experience managing and scaling high-performing teams with a focus on ownership and accountability. Deep understanding of customer segmentation, messaging, and personalization at scale. Entrepreneurial mindset with a balance of creative vision and operational rigor. Passion for innovation and elevating the digital customer experience. Writes and speaks fluent English. It's not required to have experience working remotely, but considered a plus. Key Responsibilities Own the end-to-end lifecycle marketing strategy, from onboarding to More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

compliance, and differentiation. You’ll collaborate across product, marketing, sales, and compliance teams to ensure new payment solutions are positioned effectively and meet regulatory standards including KYC (Know Your Customer) , KYB (Know Your Business) , and AML (Anti-Money Laundering) . Key Responsibilities Market Analysis: Research competitive landscapes, customer needs, and emerging trends in payments. Customer & Industry Insight … and feedback, shaping product features and solutions. Product Positioning: Define and communicate the unique value proposition, highlighting differentiators vs. competitors. Pricing Strategy: Develop pricing models aligned with market standards, customer value, and adoption goals. Distribution Strategy: Identify and optimise customer channels, including digital platforms, mobile apps, and strategic partnerships. Marketing & Communications: Collaborate with marketing to build compelling messaging … campaigns, and product collateral. Sales Enablement: Equip sales teams with training, tools, and resources to successfully sell new payment solutions. Launch Execution: Lead product rollouts, customer onboarding, and adoption tracking. Compliance Integration: Ensure go-to-market strategies and product features align with KYC, KYB, and AML requirements. Performance Monitoring: Track KPIs such as acquisition, transaction volume, and revenue to More ❯

help drive strategic use of data to support both Insurer Relations and Marketing teams. Sitting within the Analytics & Enrichment team, you will lead a team of analysts to deliver customer insight, selection models and performance analytics that inform decisions across our insurance brands. This role blends hands-on analytics with leadership, stakeholder engagement and innovation in Analytics and Data … techniques (eg logistic regression, clustering, GBMs) and the application of these in a commercial context. Advanced SQL skills with experience with Python and/or R. Solid understanding of customer segmentation and its applications. Excellent communication and storytelling skills, with the ability to influence senior stakeholders. Strong organisational and strategic thinking capabilities. Resilience, can work independently to deliver More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data … looking for a passionate and experienced Senior Data Scientist/Manager to lead personalization efforts within their CRM ecosystem. You’ll develop predictive models and recommendation systems that enhance customer engagement across global markets. THE ROLE Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings … and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Own the full ML lifecycle—from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. More ❯

campaigns aligned to group trading objectives. Present recommendations to senior stakeholders, influencing decisions across FS P&L, retail trading, and marketing. Collaborate with Data Science to apply advanced analytics (segmentation, modelling, AI) to improve campaign outcomes. Prepare performance reports for Board and committee-level review. Support FS Product & Marketing initiatives and broader Retail projects. Mentor and develop Senior Analysts … a commercial analytics role - ideally in Online Retail or Financial Services. Strong SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test and control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. More ❯

campaigns aligned to group trading objectives. Present recommendations to senior stakeholders, influencing decisions across FS P&L, retail trading, and marketing. Collaborate with Data Science to apply advanced analytics (segmentation, modelling, AI) to improve campaign outcomes. Prepare performance reports for Board and committee-level review. Support FS Product & Marketing initiatives and broader Retail projects. Mentor and develop Senior Analysts … a commercial analytics role - ideally in Online Retail or Financial Services. Strong SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test-and-control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. More ❯

HubSpot CRM, including data accuracy, user permissions, and system configurations. · Database Optimisation: Maintain clean, accurate, and up-to-date records by implementing data hygiene practices such as deduplication, contact segmentation, and lead scoring. · Workflow Automation: Develop and manage workflows, sequences, and automation processes within HubSpot to improve efficiency, streamline processes, and ensure effective lead nurturing and follow-ups. · Pipeline … troubleshooting issues, and ensuring best practices. Conduct onboarding and training sessions for new users. · Reporting & Analytics: Build dashboards and customized reports that deliver actionable insights on marketing, sales, and customer service metrics, helping teams track KPIs and identify growth opportunities · Integration Management: Manage and troubleshoot integrations between HubSpot and other tools such as Google Analytics, Slack, and other third … party applications. · Lead Management & Segmentation: Create and manage lists, segments, and properties within HubSpot to support targeted campaigns and customer segmentation. · Campaign & Content Management: Support marketing and sales teams by managing campaigns, including tracking performance, A/B testing, and analysing content interactions within HubSpot. · System Updates & Optimisation: Keep up with HubSpot’s updates and releases, implementing new More ❯

HubSpot CRM, including data accuracy, user permissions, and system configurations. · Database Optimisation: Maintain clean, accurate, and up-to-date records by implementing data hygiene practices such as deduplication, contact segmentation, and lead scoring. · Workflow Automation: Develop and manage workflows, sequences, and automation processes within HubSpot to improve efficiency, streamline processes, and ensure effective lead nurturing and follow-ups. · Pipeline … troubleshooting issues, and ensuring best practices. Conduct onboarding and training sessions for new users. · Reporting & Analytics: Build dashboards and customized reports that deliver actionable insights on marketing, sales, and customer service metrics, helping teams track KPIs and identify growth opportunities · Integration Management: Manage and troubleshoot integrations between HubSpot and other tools such as Google Analytics, Slack, and other third … party applications. · Lead Management & Segmentation: Create and manage lists, segments, and properties within HubSpot to support targeted campaigns and customer segmentation. · Campaign & Content Management: Support marketing and sales teams by managing campaigns, including tracking performance, A/B testing, and analysing content interactions within HubSpot. · System Updates & Optimisation: Keep up with HubSpot’s updates and releases, implementing new More ❯

data-rich environment. Main Responsibilities Deliver proactive business insights across finance, operations, sales, and warehouse functions. Analyse inventory, stock health, margin, and pricing trends to support decision-making. Conduct customer segmentation and multi-channel sales analysis. Support FP&A processes with accurate and insightful reporting. Work hands-on with SQL, Power BI, Excel, and the Fabric data warehouse More ❯

and Deployment (Traditional & GenAI): Lead the development, training, and deployment of a variety of AI models, including but not limited to: Traditional Machine Learning models for tasks such as customer segmentation, optimisation and forecasting. Generative AI models for tasks such as knowledge agents, contact centre support models, itinerary builders, HR assistants etc. Stakeholder Collaboration: Collaborate with cross-functional More ❯

maintaining data pipelines and reporting infrastructure Background in ecommerce, DTC, or digital businesses (ideally fast-paced or scaling environments) Strong commercial awareness - understands CAC, LTV, trading P&L, and customer segmentation Excellent communicator - able to influence stakeholders and explain the 'why', not just the 'what' Benefits : High-impact, first-of-its-kind role in a PE-backed growth More ❯

value. Strategic ownership: Act as the Marketing Cloud product owner, shaping architecture, governance, and integrations across the Salesforce suite and wider tech ecosystem. Cross-functional exposure: Collaborate with marketing, customer operations, IT, and data teams to deliver seamless, data-driven customer experiences. Future-focused: With a major rebrand and retail growth ambitions on the horizon, this role is … Data Cloud, CRM). Strategic mindset with the ability to influence stakeholders and communicate complex concepts clearly. Background in large-scale organisations or consultancy/vendor environments. Understanding of customer segmentation, lifecycle marketing, and multi-channel campaigns. Other details Salary: £65,000 + bonus (20-30% Location: Hybrid, minimum of 1 day a month to one of their More ❯