1 to 25 of 60 Customer Analytics Jobs in England

Marketing Analyst Up to £50,000 Hybrid - Stratford Upon Avon (1X Day per week) An established financial services organisation is looking for a Customer Selections & Analytics Consultant to join a growing Customer Selections & Analytics team. This is an excellent opportunity for someone with strong SQL skills … experience working with campaign selections, CRM data, or customer analytics to step into a role with real impact across multiple business areas. The Role As part of the Customer Selections & Analytics function, you will be responsible for delivering accurate, timely, and data-driven campaign selections that ...

Analyst Up to £50,000 Hybrid - Stratford Upon Avon (1X Day per week) An established financial services organisation is looking for a Customer Selections & Analytics Consultant to join a growing Customer Selections & Analytics team. This is an excellent opportunity for someone with strong SQL skills … experience working with campaign selections, CRM data, or customer analytics to step into a role with real impact across multiple business areas. The Role As part of the Customer Selections & Analytics function, you will be responsible for delivering accurate, timely, and data-driven campaign selections that ...

Campaign Analyst Up to £50,000 Hybrid - Stratford Upon Avon (1X Day per week) An established financial services organisation is looking for a Customer Selections & Analytics Consultant to join a growing Customer Selections & Analytics team. This is an excellent opportunity for someone with strong SQL skills … experience working with campaign selections, CRM data, or customer analytics to step into a role with real impact across multiple business areas. The Role As part of the Customer Selections & Analytics function, you will be responsible for delivering accurate, timely, and data-driven campaign selections that ...

SENIOR CUSTOMER ANALYST - LOYALTY UP TO £70,000 + BONUS LONDON - 2 DAYS A WEEK IN OFFICE Please note: you must have full UK right to work and be able to commute to central London twice per week. ABOUT THE BUSINESS This company is a leading global online food … cuisines. Beyond food delivery, the business supports restaurants with data-driven insights, pricing optimisation, and promotional strategies, ensuring sustainable partner growth and improved customer experiences. THE TEAM You'll join the Customer Analytics & Loyalty function - a highly data-led team sitting within the wider Analytics organisation. ...

Head of Existing Customer Analytics - Financial Services Hybrid working - 2/3 days in SW London offices preferred Salary negotiable dep on experience c£100/110K plus benefits Reference J13014 Brand new opportunity offering for impact and great scope to 'make the role your own' As Head … Existing Customer Analytics, you will lead a small but high-impact team responsible for delivering data-driven ins click apply for full job details ...

Customer Data Analyst - up to £50,000 | Hybrid (2 days per week in London) High-growth consumer services company | Expanding data team | Customer behaviour & retention focus I'm supporting a rapidly expanding consumer services organisation that has seen significant growth and investment in digital, data, and customer analytics over the past few years. As part of their continued transformation, they are looking for a Customer Data Analyst to join their insights function and help shape customer strategy across the business. This is an opportunity to join a modern, insight-driven environment , working with ...

actionable insights. In this role, you'll work across our web and mobile products to define and track key metrics, build dashboards, and analyse customer behaviour to support product development. Using tools such as Google Analytics 360, Looker, and Snowflake, you'll ensure our teams have the data … senior stakeholders, you'll translate measurement and analysis into clear, compelling stories that influence strategy and shape the products we deliver. Key Responsibilities Customer Insights: Analyse digital customer behaviour to understand how users interact with our products, generating insights that influence product strategy and decision-making. Data Visualisation ...

Reed.co.uk is looking for a Product Analyst to join their Analytics team in Holborn, London. Overview We're looking for a Product Analyst with a passion for measurement and turning data into actionable insights. In this role, you'll work across our web and mobile products to define … track key metrics, build dashboards, and analyse customer behaviour to support product development. Using tools such as Google Analytics 360, Looker, and Snowflake, you'll ensure our teams have the data they need to measure performance and make informed decisions. You'll also contribute to our experimentation ...

Senior Customer Analyst - CDM Location: London Salary: Up to £70,000 + discretionary bonus Benefits: Pension up to 12% (8% employee contribution) We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition. What You'll Do: Analyse customer behaviour across the lifecycle using SQL and modern analytics tools. Deliver actionable insights through dashboards and storytelling (Tableau/Looker). Run and evaluate A/B and multivariate tests ...

TITLE: Loans Performance Analytics Senior Analyst - 12 Month FTC SALARY: The salary banding is £39,825 - £44,250 LOCATION: Chester, Edinburgh, Leeds, Newport HOURS: 35 hours, full time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time … opportunity to influence the strategic direction of the UKs largest consumer finance provider. You'll be responsible for leading the team to optimise individual customer pricing across our four brands - Lloyds, Halifax, BoS and MBNA - and via our own and third-party digital channels, delivering fair value for customers ...

Best Place to Work' globally by industry leaders such as Built In, Fortune, and Great Place To Work! We are looking for a Sr. Customer Success Manager (CSM) for our Reseller team, to drive adoption and maximize the value of the Yext platform with a strong commitment to learning … teams. What You'll Do Manage a portfolio of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction Be a trusted Partner: Build and maintain strong relationships with Yext customers, serving as their primary point of contact for all post-sales activities. ...

Best Place to Work' globally by industry leaders such as Built In, Fortune, and Great Place To Work! We are looking for a Sr. Customer Success Manager (CSM) for our Reseller team, to drive adoption and maximize the value of the Yext platform with a strong commitment to learning … teams. What You'll Do Manage a portfolio of assigned customers, with a focus on increasing adoption, ensuring retention and growth, and overall customer satisfaction Be a trusted Partner: Build and maintain strong relationships with Yext customers, serving as their primary point of contact for all post-sales activities. ...

This is a great opportunity to join a high growth data function within a well known retail brand. Sitting within the Customer and Data team, you will play a key role in transforming how the business understands customer behaviour and uses data to improve decision making, performance … customer experience. You will take ownership of self serve analytics, foundational data products and automation tools that drive strategic decision making across the organisation. This includes building and scaling dashboards and workflow automation used across retail and trade channels. You will also support data enablement and data access ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...

extraction Create deterministic problems with reproducible answers - avoid stochastic elements or require fixed random seeds for exact reproducibility Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency Design end-to-end problems spanning the complete data science pipeline (data ingestion … standard data science libraries and statistical methods Document problem statements clearly with realistic business contexts and provide verified correct answers Problem Domains (Examples) Business Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations ...