26 to 42 of 42 Permanent Customer Analytics Jobs

tens of thousands of daily orders across hundreds of cuisines. The business provides end-to-end logistics support for its partners, from delivery operations to pricing, promotions, and market analytics, helping restaurants optimise performance and drive sustainable growth. THE TEAM You’ll join the Customer & Market Analytics team, part of a wider 25-person Analytics function … led by the Director of Analytics. The team is highly data-driven, supporting commercial and strategic decision-making through advanced analytics and insight generation. Reporting into an established Manager within the Customer Analytics function, you’ll work alongside a group of experienced analysts and senior managers specialising in pricing, promotions, and market dynamics. THE ROLE This role … summarising pricing dynamics, competitor moves, and wider market shifts. Partnering with cross-functional stakeholders to ensure insights drive tangible commercial and strategic outcomes. SKILLS & EXPERIENCE REQUIRED Experience in data analytics or commercial insights, ideally within tech, e-commerce, food delivery, or retail. Strong SQL skills (experience with BigQuery preferred). Skilled in data storytelling — able to translate numbers into More ❯

tens of thousands of daily orders across hundreds of cuisines. The business provides end-to-end logistics support for its partners, from delivery operations to pricing, promotions, and market analytics, helping restaurants optimise performance and drive sustainable growth. THE TEAM You'll join the Customer & Market Analytics team, part of a wider 25-person Analytics function … led by the Director of Analytics. The team is highly data-driven, supporting commercial and strategic decision-making through advanced analytics and insight generation. Reporting into an established Manager within the Customer Analytics function, you'll work alongside a group of experienced analysts and senior managers specialising in pricing, promotions, and market dynamics. Collaboration, curiosity, and analytical … summarising pricing dynamics, competitor moves, and wider market shifts. Partnering with cross-functional stakeholders to ensure insights drive tangible commercial and strategic outcomes. SKILLS & EXPERIENCE REQUIRED Experience in data analytics or commercial insights, ideally within tech, e-commerce, food delivery, or retail. Strong SQL skills (experience with BigQuery preferred). Skilled in data storytelling - able to translate numbers into More ❯

financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business … challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work … accessibility, and scalability across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex More ❯

financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business … challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle patterns, and engagement to uncover opportunities for product and marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work … accessibility, and scalability across the organisation. What We’re Looking For Strong analytical foundation with experience applying statistics and data science in a commercial setting. Proven track record in customer or marketing analytics - understanding acquisition, engagement, churn, and lifetime value. Proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) for data wrangling, analysis, and modelling. Ability to communicate complex More ❯

Overview Senior Data Scientist - Customer Data Location: London hybrid working (2/3 days in City offices) Salary: To c£75,000 negotiable DoE Job Reference: J13020 We are partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. Our client, a leading organisation with a strong focus on customer engagement … and data-driven innovation, is looking for an experienced and motivated Data Scientist to join their growing analytics team. This is a fantastic opportunity to work on high-impact projects that shape how customers interact with products and services on a global scale. Responsibilities Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life … business challenges. Contributing to the development of robust MLOps processes for deployment, monitoring, and retraining of models. About You/Qualifications Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad More ❯

Job Title Senior Data Scientist Customer Data Location London hybrid working (2/3 days in City offices) Salary To c£75,000 negotiable DoE Job Reference J13020 POSITION OVERVIEW We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. Our client, a leading organisation with … a strong focus on customer engagement and data-driven innovation, is looking for an experienced and motivated Data Scientist to join their growing analytics team. This is a fantastic opportunity to work on high-impact projects that shape how customers interact with products and services on a global scale. The Role As a Data Scientist, you'll use … your technical expertise and curiosity to uncover insights that inform key business decisions. Your day-to-day responsibilities will include: Building and deploying predictive models to anticipate customer behaviour, from purchasing patterns to life events and brand engagement. Partnering closely with CRM, marketing, engineering, and data teams to design scalable, data-led solutions that deliver measurable results. Applying best More ❯

DIGITAL ANALYTICS MANAGER - 12-MONTH FTC UP TO £70,000 + BENEFITS WATFORD - HYBRID, 2 DAYS A WEEK Please note, sponsorship is not available. Applicants must be UK residents. Company A global retail powerhouse with thousands of stores across 9 countries is looking for a Digital Analytics Manager to join its European team. The business continues to invest … heavily in digital innovation, with recent app launches and ecommerce expansion shaping its next phase of growth. This is a chance to play a pivotal role in understanding customer journeys across web and app, driving insights that directly impact business performance. The Role This is a hands-on analytics role where you'll own digital data and insights … and Austria. Sitting within the digital team, you'll manage the flow of GA4 and BigQuery data, build impactful reports, and partner with internal stakeholders and a third-party analytics provider. From measuring app performance to understanding the impact of promotions and website changes, you'll play a central role in connecting digital data with business outcomes. You'll More ❯

product teams to understand data needs, ensuring models align with business requirements. Partner with data engineers and architects to implement best practices for data ingestion and transformation. Support BI & analytics teams by ensuring curated models are optimized for downstream consumption (e.g., Looker, Tableau, Power BI, AI/ML models, APIs Required Qualifications: 5+ years of experience in data modeling …/denormalization techniques. Strong SQL skills, with hands-on experience in BigQuery performance tuning (partitioning, clustering, query optimization Understanding of retail data models (e.g., sales, inventory, pricing, supply chain, customer analytics Experience working with data engineering teams to implement models in ETL/ELT pipelines. Familiarity with data governance, metadata management, and data cataloging. Excellent communication skills and More ❯

ANALYTICS CONSULTANT HYBRID – LONDON – 2 days a week in office SALARY – Up to £55,000 + profit share THE COMPANY A boutique digital analytics consultancy specialising in helping top-tier asset managers turn complex marketing data into clear, actionable strategies that drive results! THE ROLE As an Analytics Consultant, you will: Own delivery of reporting, dashboards, and … for optimisation and testing. Act as the trusted face of the consultancy, bridging client priorities and internal delivery teams. YOUR SKILLS AND EXPERIENCE Experience in digital/marketing/customer analytics Strong hands-on knowledge of SQL (Python a plus) Skilled in Tableau (or similar) for dashboarding Excellent client-facing/stakeholder management skills, comfortable presenting to large More ❯

ANALYTICS CONSULTANT HYBRID – LONDON – 2 days a week in office SALARY – Up to £55,000 + profit share THE COMPANY A boutique digital analytics consultancy specialising in helping top-tier asset managers turn complex marketing data into clear, actionable strategies that drive results! THE ROLE As an Analytics Consultant, you will: Own delivery of reporting, dashboards, and … for optimisation and testing. Act as the trusted face of the consultancy, bridging client priorities and internal delivery teams. YOUR SKILLS AND EXPERIENCE Experience in digital/marketing/customer analytics Strong hands-on knowledge of SQL (Python a plus) Skilled in Tableau (or similar) for dashboarding Excellent client-facing/stakeholder management skills, comfortable presenting to large More ❯

in a successful and fast-growing business, this could be the ideal role. THE ROLE As a Senior Credit Risk Strategy Analyst, you will focus on developing and refining customer strategies, including: Leading the development of diverse lending strategies Leveraging analytics and data insights to optimize and scale strategies for new customers Incorporating new data sources to enhance … decision-making and grow the lending portfolio Conducting broader customer analytics and analyzing behavioral trends REQUIREMENTS Experience working in fast-paced environments, with the ability to manage multiple projects Background in commercial or risk strategy, preferably within consumer lending Proficiency in SQL, with Python experience being highly advantageous Previous experience in a FinTech environment HOW TO APPLY Please More ❯

in a successful and fast-growing business, this could be the ideal role. THE ROLE As a Senior Credit Risk Strategy Analyst, you will focus on developing and refining customer strategies, including: Leading the development of diverse lending strategies Leveraging analytics and data insights to optimize and scale strategies for new customers Incorporating new data sources to enhance … decision-making and grow the lending portfolio Conducting broader customer analytics and analyzing behavioral trends REQUIREMENTS Experience working in fast-paced environments, with the ability to manage multiple projects Background in commercial or risk strategy, preferably within consumer lending Proficiency in SQL, with Python experience being highly advantageous Previous experience in a FinTech environment HOW TO APPLY Please More ❯

in a successful and fast-growing business, this could be the ideal role. THE ROLE As a Senior Credit Risk Strategy Analyst, you will focus on developing and refining customer strategies, including: Leading the development of diverse lending strategies Leveraging analytics and data insights to optimize and scale strategies for new customers Incorporating new data sources to enhance … decision-making and grow the lending portfolio Conducting broader customer analytics and analyzing behavioral trends REQUIREMENTS Experience working in fast-paced environments, with the ability to manage multiple projects Background in commercial or risk strategy, preferably within consumer lending Proficiency in SQL, with Python experience being highly advantageous Previous experience in a FinTech environment HOW TO APPLY Please More ❯

operating models, and technology blueprints that align IT strategy with business outcomes Strong grasp of TOGAF or equivalent frameworks Defining integration architectures connecting core platforms, policy admin systems, and customer touchpoints Experience with insurance-relevant regulations (Solvency UK, FCA Consumer Duty) Insurance Technology Depth: Hands-on experience with insurance vendor landscape (Guidewire, Salesforce Financial Services Cloud, or equivalent platforms … Understanding how cloud, data platforms, and AI enable transformation-underwriting automation, claims processing, customer analytics Proven ability to solution and implement tech-enabled platforms for Tier 1 insurance clients Leadership & Delivery: Led multi-disciplinary architecture teams through discovery, design, and delivery Comfortable presenting architectural strategies to senior stakeholders and defending technical decisions Commercially aware -spotting opportunities to grow More ❯

goals. Identify practical, high-impact AI opportunities across manufacturing, supply chain, finance, sales, and administration. Design and implement AI solutions such as predictive maintenance, intelligent forecasting, document automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and … Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project … delivering measurable improvements through AI and automation. Desirable: Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What You’ll Achieve In your first More ❯

goals. Identify practical, high-impact AI opportunities across manufacturing, supply chain, finance, sales, and administration. Design and implement AI solutions such as predictive maintenance, intelligent forecasting, document automation, and customer analytics. Build a library of reusable AI tools and frameworks to accelerate adoption across sites. Ensure data readiness, improving data quality and structure to support advanced analytics and … Essential experience includes: Proven background in AI or digital transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project … delivering measurable improvements through AI and automation. Desirable: Experience working with ERP systems (SAP, Odoo, NetSuite) and RPA or digital twin technologies. Proficiency in Power BI or Tableau for analytics and reporting. Understanding of AI governance and data ethics. Formal qualification in Computer Science, Data Science, or a related field. What You’ll Achieve In your first More ❯

as a data engineer Additional years of experience may be considered in lieu of a degree. Experience in transformation business requirements into optimal data model. Ideally experience working with customer analytics. Expertise in dimensional modeling (Star and Snowflake schemas) Experience with AWS Redshift and performance optimization Knowledge of AWS Glue, Redshift, Step Functions for data architecture Familiar with AWS … governance Self-driven and have demonstrated the ability to work independently with minimum guidance Demonstrated multitasking ability, problem solving skills and a consistent record of on time delivery and customer service Excellent organizational and communication skills JOB DESCRIPTION Data Architect who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in supporting large More ❯