21 of 21 Customer Analytics Jobs in the South East

Analytics Manager - Retention (12-Month FTC, Maternity Cover) 📍 Location: London (Hybrid - 2 days/week in-office near Liverpool Street) 💷 Salary: Up to £65,000 Drive Customer Loyalty & Retention for a Leading UK Fashion Retailer An established UK fashion retailer is looking for an experienced Analytics Manager … Retention to join their high-performing team on a 12-month fixed-term contract. This is a fantastic opportunity to lead customer analytics initiatives in a fast-paced, digitally evolving environment with significant investment behind data and tech. The Role: In this role, you'll lead retention-focused … analytics, helping the business understand customer behaviours and drive loyalty across its omnichannel experience. You'll manage a small team and work cross-functionally to guide strategy through data-led insights. Key Responsibilities: 📊 Own and develop retention and customer analytics across the business 📈 Track key metrics More ❯

and the newly added Counter Threat Unit (CTU). Sophos is headquartered in Oxford, U.K. More information is available at . Role Summary The Customer Success Organization focuses on our most strategic customers. The CSM will have a portfolio of accounts and lead the engagement throughout the customer lifecycle from deployment and adoption through renewal ensuring satisfaction and maximizing customer value. You'll leverage your expertise to guide our customers through their journey, maintain consistent engagement, ensuring they achieve their goals and derive maximum value from our products, as well as to identify opportunities for additional … services. What You Will Do Manage named accounts accountable for engagement and satisfaction over the lifetime of the customer. Establish key relationships with the customer, ensuring regular check-ins to understand and address promptly client needs and concerns. Develop strong relationships with key buyers and influencers in customer More ❯

Director of Data Science and Analytics Hybrid Model - 3 Days The Company: My client, a growing telecommunications company recently acquired by a dynamic private equity firm, is entering an exhilarating phase of expansion and innovation. This is your chance to join a company that's poised to revolutionize the … a generative AI strategy to leverage the latest advancements in AI for innovative solutions. Lead and mentor project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms, testing and training models, and documenting models. Oversee customer analytics projects, including … segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals. Enhance product and service analytics efforts, including network optimization, to maximize business performance. Collaborate with senior leadership to develop and execute detailed plans More ❯

are looking to bring in a top leader in data science function to come into the business and spearhead the Fraud, Credit Risk, and Customer Analytics modelling for the business to support rapid growth. The Role: Developing new models for Credit risk decisioning/developing scorecard models using … SQL, Python, and Snowflake Developing models for fraud prevention and models for customer analytics Working with senior stakeholders across different areas of the business being able to manage both down and up Setting out the data science and modelling roadmap for the business Improving efficiency with the development More ❯

join a company that's poised to revolutionize the industry! Key Responsibilities: Develop and implement data analysis strategies to leverage the latest advancements in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms … testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals. Enhance product and service analytics efforts, including network optimization … solution delivery, ensuring alignment with organizational objectives. Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community. About the Team: The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial More ❯

CRM ANALYST - LONDON UP TO £42,000 THE COMPANY We are supporting a renowned sporting establishment on a customer-centric analytics hire. THE ROLE The successful CRM Analyst responsibilities will include: Lead strategic analysis projects focused on customer retention and engagement, identifying trends and behaviors that drive … long-term engagement Develop predictive models and segmentation strategies to forecast customer churn, optimise retention campaigns, and personalise customer journeys Design and deliver insightful dashboards and reports to track retention metrics, engagement trends, and campaign effectiveness YOUR SKILLS AND EXPERIENCE The successful CRM Analyst will have the following … skills and experience: Proven experience SQL Strong expertise in customer analytics, with a track record of using data to drive engagement strategies Proficiency in predictive modelling and segmentation techniques to optimize customer journeys. Hands-on experience with data visualization tools (e.g., Tableau, Power BI) to create intuitive More ❯

Partner with internal strategy and insight managers to align on deliverables Skills & Experience: Proven experience in client-facing, stakeholder-heavy environments A wide-ranging analytics toolkit – essential tools include: Google Cloud, BigQuery, Power BI, Python, Looker, Tableau, Salesforce (a plus), GA4 (nice to have) Background in customer analytics … the office How to Apply Register your interest by sending your CV to Lloyd Dunstall via the Apply link on this page Insight/Customer/Analytics/Sports/Media/Entertainment/Digital/Google Cloud/BigQuery/Power BI/Python/Looker/ More ❯

company that's poised to revolutionize the industry! Key Responsibilities: Assist in developing and implementing data analysis strategies to leverage the latest advancements in analytics for innovative solutions. Collaborate with project teams in creating comprehensive data and analytics solutions, including defining data sources, building ETL routines, developing algorithms … testing and training models, and documenting models. Support customer analytics projects, including segmentation and churn analysis, to drive strategic business insights. Optimize propositions for services such as network plans and customer support, ensuring alignment with business goals. Enhance product and service analytics efforts, including network optimization … solution delivery, ensuring alignment with organizational objectives. Build and maintain strong relationships with business stakeholders, fostering a collaborative environment within the data science and analytics community. About the Team: The data science and analytics teams at my client's company provide critical analysis for various departments, including Commercial More ❯

experience within B2C environments Experience or the ability to work in scale-up environment. Proficient in SQL and delivering quick insights. Advanced knowledge of customer analytics methodologies. Expertise in Google Analytics and web analytics solutions. Strong storytelling and visualisation skills with tools like Tableau or PowerBI. More ❯

RETENTION ANALYTICS MANAGER (12-MONTH FTC) £55,000 - £65,000 LONDON – 2 DAYS A WEEK *Please note, this company is unable to sponsor, and you must be a UK resident to apply* THE COMPANY One of the UK’s leading female-focused fashion retailers has undergone a £30m digital … transformation, with major strides in omnichannel strategy and customer experience. The current focus is optimising their digital platform, where even small speed improvements can significantly boost online revenue. Backed by strong tech infrastructure, including a cutting-edge Databricks platform, they’re aiming to lead the retail tech space in … the UK. THE ROLE This greenfield role focuses on customer analytics, with key metrics including sales volume, opt-ins, retention rates, spend lift, and ROI from marketing campaigns. You'll use SQL and visualisation tools (Power BI) and ideally Python to analyse data, while managing a small team More ❯

INSIGHT ANALYST UP TO £90,000 LONDON - 4X WEEK IN OFFICE THE COMPANY: Exciting opportunity to join a sports-focused organisation , delivering best-practice analytics and BI solutions for their clients. THE ROLE AND RESPONSIBILITIES: As a Lead Insight Analyst , you will: Conduct data audits, develop strategies , and ensure … quality. Build, deploy, and manage Power BI/Looker dashboards . Work with SQL, Python, and cloud platforms (GCP, Azure) . Create a single customer view and deliver insight-driven reports . Engage with senior stakeholders , translating data into actionable insights. Advanced analytical projects - segmentations, customer lifetime valuation … such as Tableau, Power BI etc. Ability to interpret business and marketing insights . Confident communication and stakeholder management . Experience working with Google Analytics data Experience in advanced customer analytics, segmentations, lifetime value models, clustering A passion for sport APPLY NOW More ❯

This is a fantastic opportunity to represent an incredibly innovative and effective AI SaaS Customer Analytics and Engagement product and get exposure to an impressive roster of Global brands. The Company AI Customer Orchestration & Marketing Automation SaaS $40m in VC funding Global Offices and Enterprise Customers Fantastic … on retention and growth Ensure enterprise-level clients understand and make the best use of their data Desired Skills & Experience Enterprise Account Management or Customer Success experience Commercial acumen - up-sell/cross-sell Marketing technology/customer data/customer experience (CX) background More ❯

Example projects: Spot sales trends (e.g. weather-driven demand spikes) and recommend agile trading or campaign decisions Support new store expansion strategy by analysing customer location, order frequency, and market viability Evaluate marketing ROI using tools like Fospha and GA; lead incrementality testing across paid channels Integrate new data … sources (e.g. research, attribution, or behavioural data) to enrich customer understanding About you: 3+ years in a data analytics or insight role Strong SQL, experience with BigQuery preferred Exposure to Python for analysis/modelling Skilled in data visualisation (Looker, Tableau, Power BI, etc.) Experience in digital, marketing … or customer analytics E-commerce or retail background a plus Naturally curious and proactive-you spot trends and ask questions before others do Tech Stack: BigQuery (SQL), Python, Looker, Fospha, GA, ContentSquare Interview Process: Intro chat with Chief Digital Officer In-person data task with senior stakeholders Optional More ❯

Example projects: Spot sales trends (e.g. weather-driven demand spikes) and recommend agile trading or campaign decisions Support new store expansion strategy by analysing customer location, order frequency, and market viability Evaluate marketing ROI using tools like Fospha and GA; lead incrementality testing across paid channels Integrate new data … sources (e.g. research, attribution, or behavioural data) to enrich customer understanding 🔍 About you: 3+ years in a data analytics or insight role Strong SQL, experience with BigQuery preferred Exposure to Python for analysis/modelling Skilled in data visualisation (Looker, Tableau, Power BI, etc.) Experience in digital, marketing … or customer analytics E-commerce or retail background a plus Naturally curious and proactive-you spot trends and ask questions before others do Tech Stack: BigQuery (SQL), Python, Looker, Fospha, GA, ContentSquare Interview Process: Intro chat with Chief Digital Officer In-person data task with senior stakeholders Optional More ❯

a high-impact role, sitting across marketing, digital, and trading, where you’ll be driving key strategic decisions through data. You’ll be analysing customer and product data, helping to shape brand and marketing strategy, and influencing senior leadership with your insight. It’s a fantastic opportunity for someone … with strong retail or consumer experience who loves turning data into real business outcomes. THE ROLE: As Senior Insight Analyst, you will: Lead on customer and product insight projects that support key areas of the business including digital, trading, and brand. Deliver regular reporting, deep dives, and ad-hoc … insight to shape business performance. Be the go-to person for all things customer behaviour, segmentation, retention, and LTV. Support analytics on campaign performance, digital attribution, and conversion rate optimisation. Help maintain and improve dashboards and encourage data-driven decision-making across teams. YOUR SKILLS & EXPERIENCE: Minimum More ❯

We’re working with an award-winning AI and customer analytics company at the forefront of transforming first-party data into real-time, actionable insights. Recognised recently as AI Company of the Year at a leading industry awards show, they partner with some of the world’s most … recognisable brands to redefine what’s possible in customer intelligence. As they continue to scale, we’re helping them find a Senior Client Data Solutions Engineer to join their high-performing Client Operations team. This is a key technical role where you’ll combine hands-on backend engineering with … systems. You’ll be collaborating closely with data scientists, product managers, and cloud engineers to build robust, scalable systems that underpin personalised marketing and customer engagement solutions—all while maintaining best-in-class privacy standards. Key Responsibilities Design and maintain scalable, secure, and high-performance backend systems. Develop specifications More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With a strong focus on data-driven decision-making … impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication … Sociology, Physics, Engineering, or Computer Science (Master’s or PhD is a plus). Interest or experience in TV viewing data, media, or marketing analytics is beneficial but not essential. If this role looks of interest, please reach out to Joseph Gregory. More ❯

We simplify onboarding, data intelligence, and payments for regulated businesses. By combining smart technology, verified data, and financial infrastructure, we help professionals make every customer interaction secure, compliant, and efficient. 🌍 Our Story: Founded in 2019 by James Owusu, Checkboard is a venture-backed B2B2C platform serving over 100 businesses … document signing, and seamless payments. We are proudly supported by investors like Startup Funding Club, Deepbridge Capital, and other entrepreneurial backers. 💼 Why Join Checkboard? • Customer-Centric Impact: You’ll help regulated firms offer faster, smarter, and more secure services to their clients, real-time, verified, and painless. • Culture of … and take part in team socials across borders. • Inclusive at Heart: We foster an environment where every voice matters, diverse, equal, and collaborative. 🔍 Role: Customer Success Analyst As a Customer Success Analyst, you’ll be a critical link between our data-driven platform and the regulated businesses we More ❯

a Data Analyst to join a dynamic team within a prestigious sports organization. This is an exciting opportunity to work on a variety of customer analytics projects, focusing on segmentation, churn, and retention using membership and event data. Key Responsibilities: Analyze customer data from membership and event … experience in a data analyst role. Strong SQL skills (essential). Experience with Python (preferred) and running monthly scripts. Familiarity with CRM teams and customer insight projects. Bonus points for experience with Salesforce and CRM Analytics . Excellent communication skills, with the ability to present insights clearly to More ❯

Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams in … design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded data scientists across departments, ensuring adherence … to best practices, standardisation, and quality control. Stay at the forefront of AI and advanced analytics trends, evaluating emerging technologies for their applicability to Thames Water. Foster a culture of continuous improvement and knowledge sharing. Identify opportunities to generate revenue from data assets and insights while promoting open data More ❯

Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team and other teams in … design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub-and-Spoke Model Lead the core data science team and provide oversight to embedded data scientists across departments, ensuring adherence … to best practices, standardisation, and quality control. Innovation & Research Stay at the forefront of AI and advanced analytics trends, evaluating emerging technologies for their applicability to Thames Water. Foster a culture of continuous improvement and knowledge sharing. Data Monetisation & Open Data Leadership Identify opportunities to generate revenue from data More ❯