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Analytics Engineer

Freelance role

Amsterdam (Hybrid)

This is an excellent opportunity for an Analytics Engineer to play a key role in shaping a growing data function. You’ll sit at the intersection of Data Engineering and Analytics, helping to build scalable data models, improve data accessibility, and enable better decision-making across the business.

The Company

They are a fast-paced, technology-driven organisation with a strong focus on data as a strategic asset. Operating in a complex, data-rich environment, they are continuing to invest heavily in their data platform and analytics capabilities.

The team is collaborative, ambitious, and focused on delivering high-quality data solutions that create measurable business impact. Experience from FinTech environments is particularly valued, although professionals from other high-growth technology businesses will also be considered.

The Role

You will:

• Develop and maintain robust data models using dbt and SQL.
• Build scalable and reliable analytics datasets that support reporting and decision-making.
• Act as a bridge between Data Engineering and Analytics teams, ensuring data is transformed into meaningful business insights.
• Work closely with stakeholders to understand data requirements and translate them into effective solutions.
• Improve data quality, testing, documentation, and governance practices.
• Contribute to the evolution of the data platform and analytics engineering best practices.

Your Skills & Experience

• Strong commercial experience with dbt.
• Advanced SQL and data modelling expertise.
• Proven ability to work across both engineering and analytics functions.
• Experience building and maintaining modern data transformation pipelines.
• Strong stakeholder management and communication skills.
• Experience within FinTech is highly desirable.
• Candidates from high-growth technology businesses or blended banking and technology environments are also encouraged to apply.
• Passion for creating scalable, well-documented, and high-quality data assets.

What They Offer

• Contract rate
• Competitive benefits package.
• Hybrid working model with flexibility.
• Opportunity to influence a growing data function and have a visible impact on business outcomes.
• Exposure to modern data tooling and best practices.
• Clear scope for professional development and career progression within a high-performing team.

How to Apply

If you’re an Analytics Engineer with strong dbt and SQL data modelling experience and are looking to make a tangible impact within a growing data team, apply today to learn more about this opportunity.

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Head of Data Engineering

Amsterdam, Netherlands (Hybrid) | €110,000 – €150,000 + Bonus + Benefits

This is a rare opportunity to take ownership of a business-critical data transformation programme at a leadership level. As Head of Data Engineering, you will lead the build-out of a modern data platform, shape engineering standards, and develop a high-performing team while working closely with senior stakeholders to deliver long-term business value.

The Company

They are a growing, data-driven organisation investing heavily in their data and AI capabilities. With a clear roadmap and strong executive sponsorship, they are modernising their data estate and building a scalable platform to support analytics, AI, and business decision-making.

The organisation is moving from strategy into execution and is seeking an experienced data engineering leader to define best practices, drive delivery, and build a team capable of supporting ambitious growth plans.

The Role

You will lead the Data Engineering function, combining people leadership, technical oversight, and strategic delivery.

Responsibilities include:

• Building, leading, and mentoring a team of Data Engineers, Analytics Engineers, and Platform Engineers
• Defining and executing the data engineering roadmap in partnership with senior leadership
• Driving delivery across platform development, data migrations, and modernisation initiatives
• Establishing engineering standards covering code quality, CI/CD, testing, documentation, and operational excellence
• Overseeing architecture decisions to ensure scalable, reliable, and secure data solutions
• Developing cloud-based data platforms that support analytics, reporting, and AI use case
• Managing stakeholder relationships across technology, product, analytics, and business teams
• Ensuring platform reliability through monitoring, incident management, and operational governance
• Supporting hiring, team development, and succession planning within the engineering function
• Championing best practices across Data Engineering, DataOps, and platform operations

Your Skills & Experience

• Strong commercial experience leading Data Engineering teams and delivering large-scale data platform programmes
• Expertise with modern cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud
• Strong understanding of data warehousing, data modelling, ETL/ELT pipelines, and orchestration tools
• Experience building and scaling engineering teams while maintaining high technical standards
• Ability to lead architectural discussions and make informed technical decisions
• Experience implementing CI/CD, automation, testing, and DataOps best practices
• Strong stakeholder management skills with the ability to translate business requirements into technical delivery plans
• Experience delivering complex transformation programmes, including migrations, consolidations, or greenfield platform builds
• Familiarity with governance, security, and compliance requirements within enterprise environments
• A hands-on leadership style with the ability to support technical teams when needed

What They Offer

• Salary between €110,000 and €150,000 depending on experience
• Performance-related bonus
• Comprehensive benefits package
• Flexible and hybrid working arrangements
• Opportunity to shape and scale an entire Data Engineering function
• Significant exposure to senior leadership and strategic decision-making
• Clear progression towards Director-level and broader Data & AI leadership responsibilities
• The chance to influence the organisation’s long-term data and AI strategy

How to Apply

If you’re an experienced Data Engineering leader looking to build teams, drive platform transformation, and make a lasting impact, apply today to discuss this opportunity in more detail.

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Marketing Automation Engineer

You will be responsible for building and enhancing the systems, automations, and data flows that support customer acquisition, conversion, and retention.

Key responsibilities include:

• Build and optimise automated customer journeys across email and digital marketing channels.
• Analyse customer and behavioural data to identify cohorts, opportunities, and areas for improvement.
• Develop customer re-engagement journeys based on website and purchase behaviour.
• Use SQL and BigQuery to interrogate and transform marketing and customer data.
• Design and maintain integrations between CRM, marketing, advertising, and business systems.
• Build and optimise conversion tracking and attribution frameworks.
• Develop marketing data feeds for advertising and remarketing platforms.
• Translate marketing requirements into scalable technical solutions and automations.
• Ensure data consistency and integrity across multiple customer touchpoints.
• Partner with marketing, data, and engineering teams to measure performance and optimise outcomes.
• Support experimentation and CRO initiatives through data, automation, and implementation.

Your Skills & Experience

• Strong commercial experience with JavaScript and Node.js.
• Advanced SQL skills, ideally including BigQuery.
• Experience working with Salesforce or similar CRM platforms.
• Strong understanding of customer data, segmentation, and behavioural analysis.
• Experience building automated customer journeys and lifecycle marketing programmes.
• Knowledge of marketing automation platforms and CRM workflows.
• Experience with API integrations and connecting multiple business systems.
• Understanding of conversion tracking, attribution, and performance measurement.
• Familiarity with remarketing and digital advertising ecosystems.
• Strong stakeholder management skills with the ability to translate business requirements into technical solutions.

Desirable experience includes:

• SendGrid, Klaviyo, or similar marketing platforms.
• AWS services, including serverless technologies.
• Event-driven architectures and workflow automation.
• Affiliate marketing platforms.
• Email deliverability optimisation.
• Attribution modelling or incrementality testing.
• Experience within regulated consumer-facing environments.

What They Offer

• High-impact role with direct exposure to senior leadership.
• Opportunity to shape marketing technology and customer engagement strategy.
• Exposure to advanced experimentation, CRO, AI-enabled workflows, and customer data initiatives.
• Collaborative culture with strong cross-functional partnership.
• Clear opportunity to influence business performance and drive measurable commercial outcomes.

How to Apply
If you’re a Marketing / MarTech Engineer, Growth Engineer, CRM Engineer, or Marketing Automation specialist who enjoys combining technical expertise with commercial impact, apply today to learn more about this opportunity.

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Customer Experience Optimisation Manager
London (Hybrid)
Up to 60k

This is a high impact opportunity to lead a data led customer experience and CRO function within a digitally focused organisation. You will own the optimisation of end to end customer journeys, using experimentation, insight, and innovation to drive measurable commercial outcomes.

The Company
They are a well established, customer centric organisation operating across multiple digital brands and markets. Customer experience sits at the core of their growth strategy, supported by strong investment in data, technology, and experimentation. The business fosters a collaborative environment where cross functional teams work closely to deliver continuous optimisation.

The Role
Be part of CRO and customer experience agenda, driving optimisation across the full digital journey while influencing strategic decision making.

• Own and optimise the end to end digital customer journey with accountability for conversion and revenue performance
• Develop and execute a data led experimentation and CRO roadmap across multiple products and markets
• Use analytics, customer insights, and testing tools to identify opportunities and prioritise high impact improvements
• Deliver and scale AB testing and experimentation programmes across digital platforms
• Collaborate closely with product, UX, engineering, and marketing teams to deliver optimisation initiatives
• Define and track key customer experience and performance metrics, presenting insights to senior stakeholders
• Champion a culture of experimentation, continuous improvement, and customer centricity

Your Skills and Experience

• Commercial experience in customer experience, CRO, or digital product optimisation
• Proven track record of driving measurable impact through experimentation and data led decision making
• Hands-on experience with analytics and testing tools such as Google Analytics, Optimizely, or similar
• Understanding of UX principles, customer journeys, and personalisation strategies
• Experience working cross functionally with stakeholders
• Familiarity with experimentation frameworks and optimisation roadmaps
• Experience within a highly regulated industry would be beneficial

What They Offer

• Performance bonus
• Hybrid working model with flexibility

How to Apply
If you are interested please apply with your CV.

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This is an opportunity to join a digital commerce agency in a senior strategy role, working closely with clients to shape digital products, eCommerce roadmaps, and long-term growth plans. The role combines client leadership, product strategy, and commercial responsibility.

The Company
They are a digital consultancy focused on eCommerce, customer experience, and digital product delivery. Their teams work across strategy, design, and technology to support clients with digital transformation and online growth. The business operates in a collaborative environment where senior leaders have direct influence on client outcomes and business performance.

The Role
As a Product Strategy Manager you will be expected to:

• Lead relationships with senior client stakeholders
• Run discovery sessions, workshops, and strategic planning engagements
• Define product and commerce strategies aligned to business objectives
• Translate business requirements into delivery plans alongside design and technology teams
• Prioritise features, initiatives, and roadmaps based on business value
• Identify opportunities for account growth and additional project work
• Support project delivery, ensuring scope, budget, and timelines remain aligned
• Use customer, performance, and analytics data to guide recommendations
• Manage commercial performance across a portfolio of accounts
• Work closely with cross-functional teams to deliver digital commerce solutions

Your Skills & Experience

• Agency, consultancy, or digital product background, working with ecommerece buinesses
• Experience leading client relationships and stakeholder engagement
• Strong product strategy, digital strategy, or eCommerce experience
• Understanding of platforms such as Shopify and broader digital commerce ecosystems
• Experience defining roadmaps, requirements, and solution priorities
• Commercial awareness with exposure to budgets, proposals, and account growth
• Ability to work with technical and non-technical stakeholders
• Data-driven approach to problem solving and decision making

What They Offer

• Hybrid working model in London
• Exposure to complex digital commerce and transformation programmes
• Collaborative working environment

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This is an opportunity for a Data Operations Manager to join a research and analytics business focused on improving data delivery, automation, and operational processes. You’ll work across a range of data projects, helping to drive efficiency and support the continued development of the data function.

The Company
They are an established insights and research organisation that works with clients across multiple sectors. The business is investing in technology, automation, and operational improvement to support future growth. You will join a collaborative team where data and technology play a key role in project delivery.

The Role
You will be responsible for managing data operations and supporting the delivery of quantitative research programmes.
Key responsibilities include:

• Managing survey scripting, data processing, reporting operations, and workflow delivery
• Improving automation processes, tools, and data pipelines
• Identifying delivery risks and supporting quality assurance processes
• Coordinating priorities across multiple projects
• Working with stakeholders to ensure successful project delivery
• Supporting the development of operational processes and best practices
• Using technology to improve efficiency and reduce manual workloads

Your Skills & Experience

• Commercial experience within data operations, research operations, or data processing
• Hands-on experience using SPSS for data analysis and reporting
• Experience with Python and SQL for data manipulation, automation, and workflow improvement
• Strong data cleaning, transformation, and quality assurance skills
• Experience with survey scripting platforms such as Qualtrics, Forsta, Decipher, or similar
• Ability to manage multiple projects and deadlines
• Strong communication and stakeholder management skills
• Experience with APIs or workflow automation tools would be beneficial

What They Offer

• Salary up to £55,000
• Hybrid working with 2 days per week in the London office
• Opportunities for career development and progression

To Apply for this Job Click Here

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Engineering Director (Head of Data Engineering)

UK (fully remote) | £100,000 – £135,000 | Annual Bonus

This is a high-impact leadership opportunity for an experienced Engineering Director to build and scale a data platform function supporting business-critical initiatives. You’ll lead engineering delivery, shape technical strategy, and establish the foundations for a modern, AI-enabled data ecosystem.

The Company

They are a global organisation investing heavily in the future of data, analytics, and AI. Following significant commitment to platform modernisation, they are consolidating legacy infrastructure into a centralised, governed, and scalable data environment. This role will play a key part in turning that vision into reality.

The Role

• Build, lead, and develop a high-performing engineering team
• Own engineering operations, delivery planning, and team performance
• Drive architectural decisions and technical best practices
• Establish standards across CI/CD, testing, documentation, and reliability
• Partner with senior leadership on hiring, team development, and strategy
• Manage delivery across platform builds, migrations, and transformation programmes
• Coordinate with technology, product, and business stakeholders
• Ensure operational excellence through monitoring, alerting, and incident management

Your Skills & Experience

• Strong experience leading engineering or platform teams
• Track record delivering large-scale data platform initiatives
• Experience managing multidisciplinary engineering functions
• Strong knowledge of cloud data platforms and modern data stacks
• Familiarity with Snowflake, orchestration tools, and transformation frameworks
• Experience implementing engineering standards and governance processes
• Ability to balance strategic leadership with technical oversight
• Strong stakeholder management and communication skills

What They Offer

• Fully remote working across the UK
• Opportunity to build and shape a strategic platform function
• Significant leadership scope and visibility
• Exposure to enterprise-wide data transformation initiatives
• Collaborative and innovation-focused environment
• Competitive salary and benefits package

How to Apply

Submit your CV to learn more about this Engineering Director opportunity.

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Data Platform Architect

London | 3 Days a week | £90,000 – £110,000

This is an opportunity for a Data Platform Architect to play a central role in shaping the future of an enterprise data platform. You’ll combine hands-on technical expertise with strategic architecture leadership, helping to deliver a scalable, secure, and AI-ready data environment.

The Company

They are a well-established organisation undergoing significant investment in data, analytics, and AI capabilities. Data is a critical strategic asset across the business, and they are continuing to evolve a modern cloud-based platform that supports a wide range of operational and commercial initiatives. This role sits at the centre of that transformation.

The Role

• Define and evolve the architecture of a modern cloud-based data platform
• Provide technical leadership across data platform and engineering teams
• Design scalable, secure, and reliable data solutions
• Support the implementation of architectural patterns and standards
• Champion DataOps practices including CI/CD, testing, monitoring, and automation
• Partner with governance, security, and engineering teams to ensure compliance and best practice
• Guide the implementation of ETL and ELT processes using modern tooling
• Evaluate emerging technologies and recommend future platform enhancements
• Support strategic planning and AI-enablement initiatives

Your Skills & Experience

• Strong experience in data platform architecture and cloud-based data environments
• Excellent understanding of modern data stack technologies
• Expertise with Google Cloud Platform, BigQuery, dbt, Airflow, or similar technologies
• Experience designing data integration patterns and scalable data solutions
• Knowledge of data governance, security, privacy, and compliance principles
• Strong understanding of DataOps, CI/CD, testing, and automation practices
• Experience supporting Data Engineering teams with technical leadership
• Excellent stakeholder management and communication skills

What They Offer

• Competitive salary and benefits package
• Opportunity to influence enterprise-scale data strategy
• Exposure to AI and advanced analytics initiatives
• Collaborative and highly visible role within the data function
• Strong opportunities for professional growth and progression
• Flexible working arrangements

How to Apply

Apply today with your CV for a confidential discussion about this Data Platform Architect opportunity.

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This is an opportunity to lead a high-impact analytics function within a complex, data-rich environment. You will shape the data and insights strategy, influence senior decision-making, and build a best-in-class analytics capability that supports operational performance and business growth.

The Company
They are a fintech where data plays a critical role in driving operational excellence, customer outcomes, and strategic decision-making across the business.
With significant investment in analytics, reporting, and automation, they are looking for an experienced leader who can bring together data, technology, and commercial insight to deliver measurable business impact.

The Role
As the Operations Analytics & Insight Lead, you will be responsible for setting the direction of the analytics function while leading and developing a high-performing team.

You will:

• Define and deliver the data and insights strategy for the operations function.
• Lead, coach, and develop a team of analysts, creating a culture of high performance and continuous improvement.
• Act as the senior analytics partner to leadership teams, providing insight that drives business decisions.
• Establish and maintain trusted operational KPIs, reporting frameworks, and measurement standards.
• Design and oversee analytical approaches for major transformation and optimisation initiatives.
• Translate complex business challenges into structured analytical solutions and actionable recommendations.
• Drive best practice across SQL development, reporting, analytics, and data governance.
• Champion self-service reporting and scalable data solutions to improve business efficiency.
• Work closely with senior stakeholders to influence strategic priorities through evidence-based decision-making.

Your Skills & Experience

• Strong experience leading a Data, Analytics, or Insights team within a commercial environment.
• Proven people management experience, including mentoring, coaching, and developing analysts.
• Advanced SQL skills and the ability to work confidently with large, complex datasets.
• Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar.
• Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development.
• Experience with data visualisation tools such as Tableau, Looker, or Power BI.
• Ability to communicate complex analytical findings to senior and executive stakeholders.
• Commercial mindset with a track record of using data to influence business outcomes.
• Python experience for analysis or automation would be advantageous.

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SENIOR BI DEVELOPER / SENIOR DATA ANALYST
£50,000-£70,000
WOLVERHAMPTON AREA – HYBRID, 3 DAYS IN THE OFFICE

An opportunity to join a growing national business investing in its data and analytics capabilities. You’ll take ownership of BI reporting, work with commercial stakeholders and help develop a modern Microsoft data platform.

THE COMPANY

This established organisation is expanding its data function to support continued growth and improve decision-making across the business.

Joining a developing team, you’ll have the opportunity to shape reporting standards, improve access to trusted data and deliver insight that directly supports commercial performance.

THE ROLE

Reporting to the Head of Data & Analytics, you’ll combine hands-on BI development with commercial analysis and stakeholder engagement.

Your responsibilities will include:

• Designing, developing and maintaining Power BI dashboards, reports and semantic models.

• Building and optimising SQL queries and scalable data models to support reporting and analysis.

• Supporting the development of Microsoft Fabric and Azure capabilities, including ETL/ELT processes.

• Partnering with pricing, product, marketing, finance and operations teams to understand requirements and prioritise delivery.

• Analysing revenue, margins, customer behaviour and operational performance to identify opportunities and support decisions.

• Improving reporting automation, self-service analytics, data quality and governance.

• Presenting findings and recommendations clearly to senior stakeholders.

• Mentoring junior colleagues and sharing technical best practice.

YOUR SKILLS AND EXPERIENCE

The successful candidate will have:

• Strong experience in BI development or data analytics, with ownership of reporting solutions.

• Advanced Power BI skills, including DAX, Power Query, semantic modelling and performance optimisation.

• Strong SQL skills, including complex transformations, query optimisation and troubleshooting.

• Experience building dimensional data models and developing ETL/ELT processes.

• Experience with Microsoft Fabric, Azure data technologies or comparable modern data platforms.

• A strong understanding of commercial metrics, including revenue, profit, margin and forecasting.

• Confidence managing competing priorities, challenging constructively and communicating with technical and non-technical stakeholders.

• Experience supporting or mentoring junior colleagues.

Experience within retail, wholesale or a similarly fast-moving commercial environment would be advantageous.

THE BENEFITS

• Salary of £50,000-£70,000, depending on experience.

• 25 days’ annual leave.

• Hybrid working with three days in the office and two from home.

• Ownership of BI delivery and the opportunity to influence a developing data function.

• Exposure to senior stakeholders and commercially significant projects.

A driving licence is required. More frequent office attendance during the initial onboarding period would be beneficial. Sponsorship is not available for this position.

HOW TO APPLY

Please register your interest by submitting your CV via the Apply link.

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Product Strategy LeadLondon (Hybrid) | up to £80,000
An opportunity for a commercially focused Product Stratrgy Lead to lead client partnerships, shape digital commerce strategies, and drive growth across a portfolio of eCommerce projects. This role offers a blend of strategic consulting, stakeholder management, and commercial leadership within a collaborative digital environment.
The Company
They are a specialist digital consultancy that delivers eCommerce and customer experience solutions for a range of brands. Their work combines strategy, technology, and design to create digital experiences that generate measurable commercial results. They offer a collaborative culture with a strong focus on innovation, quality, and continuous improvement.
The Role

• Lead and develop senior client relationships, acting as a trusted strategic advisor.
• Define commerce strategies that align customer needs with business objectives.
• Facilitate discovery sessions, workshops, and strategic planning activities.
• Identify opportunities for account growth and support commercial development.
• Collaborate with technology, design, and delivery teams to shape solutions.
• Manage project scope, budgets, resourcing, and delivery expectations.
• Translate business requirements into prioritised workstreams and roadmaps.
• Use analytics and customer insights to inform recommendations and measure success.
• Support delivery teams to ensure high-quality project outcomes.

Your Skills & Experience

• Strong experience within eCommerce, digital consulting, client services, or agency environments.
• Proven ability to manage senior stakeholders and commercial relationships.
• Knowledge of eCommerce platforms, digital products, and customer experience strategy.
• Comfortable working with technical and non-technical audiences.
• Strong analytical, presentation, and communication skills.
• Experience managing project budgets, scope, and delivery processes.
• Commercial mindset with the ability to identify growth opportunities.
• Collaborative leadership style and commitment to delivering client value.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model.
• Exposure to complex digital commerce programmes.
• Clear opportunities for professional growth and career progression.
• Collaborative and supportive working environment.

How to Apply
Apply today with your CV to learn more about this opportunity.

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Customer Analytics Manager (12 Month FTC)
London (Hybrid, 3 days per week)
Up to £70,000

An exciting opportunity has arisen for a Customer Analytics Manager to join a well-established consumer business on a 12-month fixed-term contract. This role offers the chance to lead the customer analytics agenda, shape strategic decision-making, and deliver insights that directly influence customer retention, loyalty, profitability, and growth. You’ll work with senior stakeholders across the business and play a key role in driving a customer-centric culture through data.

The Company
They are a leading consumer-focused retail organisation with a significant UK presence and a large, engaged customer base across both digital and physical channels. Data and analytics are central to their decision-making, with a mature analytics function that supports commercial, customer, marketing, and operational strategy.

The wider analytics team brings together specialists across customer analytics, data science, marketing analytics, and AI. Over recent years, they have invested heavily in improving how customer data is used across the business, creating a strong environment for analytics professionals to make a genuine commercial impact.

The Role
You will:

• Own the customer analytics agenda, delivering insight across customer behaviour, retention, loyalty, profitability, and lifetime value.
• Lead customer reporting, KPI tracking, and deep-dive analysis to identify opportunities and risks.
• Develop meaningful customer segmentation and profiling strategies to support business decision-making.
• Apply advanced analytical techniques including clustering, regression analysis, predictive modelling, and campaign measurement.
• Translate complex findings into clear, commercially focused recommendations for senior stakeholders.
• Build strong relationships across multiple business functions, acting as a trusted analytics partner.
• Support the ongoing development of customer understanding and help drive data-led decision-making across the organisation.
• Contribute to analytical best practice and mentor junior team members where required.

Your Skills & Experience

• Strong SQL skills and experience working with large customer datasets.
• Expertise in customer analytics, customer insight, or CRM analytics.
• Experience delivering customer segmentation, clustering, predictive modelling, and statistical analysis.
• Strong data visualisation and reporting experience using modern BI tools.
• Excellent stakeholder management and communication skills, with the ability to influence non-technical audiences.
• Exposure to analytical techniques such as k-means clustering, regression modelling, random forest, or similar methods.
• Experience leading projects and managing multiple priorities in a commercial environment.
• Previous mentoring or line management experience would be beneficial.

What They Offer

• Opportunity to lead a high-profile customer analytics function.
• Exposure to senior stakeholders and strategic decision-making.
• Collaborative analytics environment with strong investment in data and insight capabilities.
• The chance to make a measurable impact on customer strategy within a well-established business.

How to Apply
If you are passionate about customer analytics and enjoy turning data into commercially actionable insight, please apply today to learn more about this Customer Analytics Manager opportunity.

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