14 of 14 Permanent Customer Analytics Jobs in the South East

MARKETING & CUSTOMER ANALYST £30,000-£35,000 LONDON - Hybrid (2 days per week in office) Please note: Candidates must be UK-based with full right to work and be able to attend one of the listed offices at least twice per week. ABOUT THE BUSINESS This organisation … data-led marketing and analytics consultancy working with well-known clients across multiple sectors. It partners closely with marketing, digital, and customer teams to deliver insight-driven strategies that improve campaign performance, customer engagement, and commercial outcomes. The business operates at the intersection of marketing analytics ...

impact. Come join our TJX team-a Fortune 100 company and the world's leading off-price retailer. Job Description: The Role: The Senior Customer Analyst is responsible for managing and delivering analytics projects for the Brand and Marketing department and the wider business. This includes developing … depth customer level analysis across both the TK Maxx and Homesense brands in Europe. The role will support the Customer Analytics Manager in the execution of the marketing analytics strategy. The Senior Customer Analyst will also be responsible for helping to nurture and develop talent ...

Customer Success Manager (SaaS) Our client is a rapidly scaling SaaS startup experiencing exceptional momentum, having grown 300% year-on-year. As part of their continued expansion, they are seeking a Customer Success Manager to play a key role in delivering value to customers and supporting long-term … facing role suited to someone who enjoys working with data, managing projects, and operating in a fast-paced, high-growth environment. The Role The Customer Success Manager will be responsible for managing the customer journey from onboarding through to renewal and expansion. Working closely with customers, they will ...

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 ...

About the Company Our client is a fast-growing financial services company known for its data-driven culture and customer-focused approach. They are expanding their analytics capabilities and seeking a mid-senior level Data Analyst to join the Marketing team to support both B2B and B2C initiatives. … Role Overview As a Data Analyst, you will transform marketing and customer data into actionable insights that drive commercial performance. You'll work closely with marketing stakeholders to support campaign optimisation, customer acquisition, and engagement strategies across both B2B and B2C audiences . This role is primarily remote ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...

software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker and Kubernetes experience Exposure to model governance, explainability, or regulatory frameworks ...