1 to 25 of 36 Remote Customer Segmentation Jobs

Senior Customer Analyst Customer Base Management Please read the following job description thoroughly to ensure you are the right fit for this role before applying. London (Hybrid, 2 3 days a week) Up to £75,000 The Company This well-established consumer brand is on a mission to strengthen its understanding of customer behaviour and loyalty. … analytics capability to drive smarter, more targeted engagement strategies. You ll join an ambitious analytics team with a clear mandate to optimise how the company manages and grows its customer base. The Role As the Senior Customer Analyst, you ll take ownership of customer base performance, delivering insights that help retain, reactivate, and engage customers across the … lifecycle. This is a high-impact role where you ll shape segmentation frameworks, evaluate loyalty effectiveness, and identify opportunities to maximise customer lifetime value. You ll work closely with CRM, Marketing, and Data teams to ensure every customer interaction is informed by insight. Key Responsibilities Lead customer base management analysis to improve retention, reactivation, and engagement. More ❯

food delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join … the Customer Analytics function, working closely with the Loyalty and Retention teams to drive customer engagement and growth through data. In this role, you’ll: Deliver insights and recommendations to improve customer retention and loyalty. Support the Loyalty Proposition rollout , identifying opportunities to bridge competitive gaps. Conduct customer growth and churn analysis , uncovering key drivers of … customer loss. Translate data into clear, commercial stories that influence marketing and customer strategies. Automate and productionise analytical workflows to enhance efficiency and scalability. Collaborate with senior stakeholders, influencing decision-making across marketing, loyalty, and product teams. YOUR SKILLS AND EXPERIENCE: Must-Have Skills: Advanced SQL proficiency with experience querying, joining, and optimising large datasets. Strong analytical storytelling More ❯

food delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join … the Customer Analytics function, working closely with the Loyalty and Retention teams to drive customer engagement and growth through data. In this role, you’ll: Deliver insights and recommendations to improve customer retention and loyalty. Support the Loyalty Proposition rollout , identifying opportunities to bridge competitive gaps. Conduct customer growth and churn analysis , uncovering key drivers of … customer loss. Translate data into clear, commercial stories that influence marketing and customer strategies. Automate and productionise analytical workflows to enhance efficiency and scalability. Collaborate with senior stakeholders, influencing decision-making across marketing, loyalty, and product teams. YOUR SKILLS AND EXPERIENCE: Must-Have Skills: Advanced SQL proficiency with experience querying, joining, and optimising large datasets. Strong analytical storytelling More ❯

food delivery, connecting millions of customers with restaurants across more than 80 markets. The company’s culture is built around collaboration, innovation, and data-driven decision-making . Their Customer Analytics team plays a central role in driving customer growth and loyalty through actionable insight and experimentation. THE ROLE: As a Senior Customer Analyst , you’ll join … the Customer Analytics function, working closely with the Loyalty and Retention teams to drive customer engagement and growth through data. In this role, you’ll: Deliver insights and recommendations to improve customer retention and loyalty. Support the Loyalty Proposition rollout , identifying opportunities to bridge competitive gaps. Conduct customer growth and churn analysis , uncovering key drivers of … customer loss. Translate data into clear, commercial stories that influence marketing and customer strategies. Automate and productionise analytical workflows to enhance efficiency and scalability. Collaborate with senior stakeholders, influencing decision-making across marketing, loyalty, and product teams. YOUR SKILLS AND EXPERIENCE: Must-Have Skills: Advanced SQL proficiency with experience querying, joining, and optimising large datasets. Strong analytical storytelling More ❯

Tiktok ads, Google ads) As of 2025, we have a total of 30 clients in the UK and the US. We’re now expanding our CRM capabilities to deepen customer relationships and drive smarter, more personalised campaigns - and we’re looking for a CRM Executive to join us on that journey. The Role As our CRM Executive, you’ll … role in managing and optimising multi-channel CRM campaigns across email, SMS, and automation platforms. You’ll collaborate closely with our Paid Media, Strategy, and Creative teams to enhance customer engagement, retention, and lifetime value for our clients. Key Responsibilities Plan, build, and deliver CRM campaigns across email, SMS, and other retention channels. Support the development of automated customer journeys, segmentation strategies, and audience targeting. Analyse campaign performance and produce actionable insights to optimise engagement and ROI. Work with Paid Media teams to integrate CRM data into acquisition strategies. Manage CRM platforms (such as Klaviyo) - ensuring data quality and compliance with GDPR. Collaborate with design and content teams to create compelling customer communications. Develop best practices More ❯

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 ❯

resolution. Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts . We do this through an empathetic and customer-centric approach that is at the heart of our success. 🔎 What are we looking for? We are seeking a proactive and experienced individual to join our growing Analytics function. … Lead your own and the team’s analysis into current processes and strategy with a focus on performance. Identify and effectively communicate the opportunities to improve. Collections Strategy : Propose customer-centric and cost-effective strategies, using a combination of experience and deep data insight. Work cross-functionally to refine, gain buy-in and deploy these strategies. Scoring and segmentation : Build customer segmentation, leveraging and influencing the output of our Decision Science team. Comfortable optimising for commercial and customer outcomes and building testing frameworks. MI and Reporting : Use SQL and Power BI to build your own reports, guiding strategic decision making.Comfortable working with stakeholder to refine requirements and independently to leverage our own insight. Team Development 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 ❯

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 ❯

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 ❯

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 ❯