26 to 50 of 66 Remote/Hybrid Customer Analytics Jobs

Harnham in London is seeking a Senior Customer Analyst to join the Customer Analytics team. This is a hybrid role with 2 days a week in the office, offering the chance to work closely with senior stakeholders. You will analyse customer health, lifecycle, segmentation and behaviour ...

Senior Data Analyst Central London | Hybrid | Up to £70-75k An exciting opportunity for a Senior Data Analyst to use customer and subscription data to directly influence retention, engagement and growth within a digital business. The Company They are a global technology and digital content business operating … subscription funnel, identifying conversion opportunities and drop-off points. Develop and maintain Lifetime Value models and churn prediction models. Analyse customer retention, engagement and subscription behaviour. Build dashboards and monitor key subscription and user metrics. Turn complex customer data into clear commercial recommendations. Partner with Growth, Marketing, Product ...

+ benefits. Ekimetrics is a leader in Marketing Effectiveness, Data Science and AI-powered solutions. We are one of the world’s largest independent analytics and consulting firms, pioneering the use of AI and advanced data science for over 16 years. Our goal: Combine high-impact AI and data … Optimisation” by Forrester Wave 2023. Here in the UK, at our London-based office, we engage across four business offerings: MMM (mixed market modelling), customer analytics, data science transformations, and AI4 sustainability. We have clients across multiple industries such as retail, consumer goods, luxury fashion, insurance, banking, private ...

belonging for all. We're heading in one direction, the future. We’d love you to join us. The opportunity. Want to transform customer engagement and growth at some of the world's largest institutions? We're looking for an EMEA lead for our Customer Intelligence solution. … name the market knows on this subject, and the person Quantexa turns to for it. Every large organisation is investing in data, analytics and AI to serve customers better. Most hit the same wall. The same person appears multiple times across systems that don't talk to each other. ...

sponsorship offered A growing digital business is looking for a Senior Data Analyst to join a high-performing analytics team. This is an opportunity to work across a variety of commercial and product-focused projects, helping stakeholders make better decisions through data while driving improvements in reporting and self … service analytics. The Company They are a fast-growing, data-driven organisation with a strong focus on innovation and customer experience. Analytics plays a central role in shaping business strategy, product development, and commercial decision-making. This role offers the chance to have visible impact across multiple teams ...

organisation understands, engages with and retains its members. This is an exciting opportunity for an insights-led professional who enjoys combining data, customer behaviour and strategic thinking to improve customer experience and drive organisational growth. The Role Analyse member data across acquisition, engagement, retention and renewal to identify … technology teams to deliver improvements. Present insights to stakeholders and champion a data-driven, member-first approach across the organisation About You Experience in customer or membership insights, customer analytics, CX, CRM or data-driven strategy. Proven experience mapping and improving customer or member journeys. Strong ...

looking for a data-driven Data Analyst specializing in LTV (Lifetime Value) & Subscriptions to join our London team. You will support all analytics related to our subscription products and user lifecycle. In this role, you will dive deep into subscriber behavior and churn patterns, develop models to project customer … action. Requirements What You Have You have 5+ years of experience in data analysis or data science, with a focus on user lifecycle, customer analytics, or subscription metrics. You bring advanced SQL skills and are comfortable querying and manipulating large datasets in a cloud data warehouse environment. ...

Select how often (in days) to receive an alert: As a Business Data Analyst, you'll become a key member of Hallmark’s Data & Analytics Centre of Excellence, helping to transform the way we use data to support decision‐making across the business. Working closely with key stakholders across … business you'll deliver practical analytics, robust reporting and data‐driven recommendations that help turn insight into action. You'll play an important role in helping us uncover the story behind the data, joining the dots across multiple business functions and translating complex analysis into clear, decision‐ready insight. ...

services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world’s leading corporations. EXL was founded on the core … role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio . You’ll work across data engineering, modelling and transformation initiatives, building scalable pipelines, optimising performance and ensuring best practices ...

aesthetic that embodies luxury with an emphasis on craftsmanship, innovation and compelling fashion movements. Job Description As a Product Manager within our COS AI, Analytics and Data (AIAD) team, you will play a pivotal role in driving the development, implementation, and management of data & insights products for global COS. … Data Engineers, closely engaging with key stakeholders to deliver high-quality AI, data & insights products for Global COS. You will lead our Customer Experience (CX) and marketing analytics suite, which includes overseeing and driving the vision, delivery, and lifecycle of data & insights products across three dedicated product teams ...

developing a data culture and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) brand at our client for both internal and external audiences Proven experience delivering high-quality AI-based products and productionisation of Machine …/AI services suing Kubernetes & KubeFlow Strong management and leadership skills previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer Focused constantly improving our customers experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human leading ...

developing a “data culture” and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) “brand” at our client for both internal and external audiences Proven experience delivering high-quality AI-based products and productionisation of Machine …/AI services suing Kubernetes & KubeFlow Strong management and leadership skills – previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer Focused – constantly improving our customers' experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human – leading ...

developing a "data culture" and demonstrating the value of data in our decision making Lead our efforts to develop the data science (and broader customer analytics) "brand" at Kingfisher for both internal and external audiences What you'll bring Proven experience delivering high-quality AI-based products …/AI services suing Kubernetes & KubeFlow Strong management and leadership skills - previous experience managing a team Strong influencing, communication and stakeholder management skills Be Customer Focused - constantly improving our customers’ experience We listen to our customers and colleagues We innovate products and experiences to stay ahead Be Human - leading ...

developing a “data culture” and demonstrating the value of data in our decision making. Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine ...

document and map KPIs, metrics and critical data elements across reporting and operational processes. Work closely with business stakeholders, including sales teams, to understand customer data requirements and reporting needs. Map reporting requirements back to source systems, data feeds and data warehouse structures within GCP.Support the development of data … data quality rules and collaborate with the GCP engineering team to implement governance and quality controls using dbt. Support data catalogue, finance process and customer data mapping activities across the wider GCP data platform. Act as the bridge between end users and technical teams, ensuring business requirements are accurately ...

growing client demand for advanced AI and data science solutions. The ideal candidate will have a deep understanding of artificial intelligence, machine learning and analytics, combined with IT consulting experience and domain expertise in financial services. In this role, you will partner with clients to solve complex business challenges … services, focusing on risk, compliance, and operational efficiency Design and deploy AI-enabled solutions for use cases such as credit scoring, fraud detection, and customer analytics Implement AI governance frameworks including compliance with Basel III, GDPR, and ethical AI practices Lead deployment of MLOps pipelines to transition models ...

problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. 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 ...

problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction. 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...