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Customer Analytics Manager (12-Month FTC)
London – Hybrid, 2 days per week
Up to £70,000 + Benefits

This is an exciting opportunity for a Customer Analytics Manager to take ownership of a well-established customer analytics function within a major consumer-focused organisation. You’ll play a key role in shaping how customer insight influences business strategy, partnering with senior stakeholders to drive customer growth, retention, and commercial performance. As a maternity cover position, this role offers significant visibility and the chance to make an immediate impact.

The Company
They are a well-known consumer brand with a significant multi-channel presence and a large, engaged customer base. Customer insight sits at the heart of their decision-making, and they have invested heavily in developing a sophisticated analytics capability across customer, marketing, data, and AI functions.

Their analytics team has successfully embedded customer-led decision-making across the wider business, helping stakeholders better understand customer behaviour and make more informed commercial decisions. You’ll join a collaborative, insight-driven environment where analytics plays a central role in business strategy.

The Role
As Customer Analytics Manager, you will lead the customer analytics agenda and deliver strategic insight across the customer lifecycle.

Key responsibilities include:

• Owning customer analytics projects across retention, loyalty, profitability, and customer lifetime value.
• Delivering customer reporting, insight packs, and deep-dive analysis for senior stakeholders.
• Developing customer segmentation and profiling frameworks to identify behavioural trends, opportunities, and risks.
• Applying advanced analytical techniques including clustering, predictive modelling, regression analysis, and campaign measurement.
• Translating complex analysis into clear, commercially actionable recommendations.
• Acting as a trusted analytics partner across multiple business functions.
• Supporting and influencing strategic decisions through customer-focused insight.
• Contributing to the ongoing development of customer analytics methodologies and best practices.

Your Skills & Experience
To be successful in this Customer Analytics Manager role, you will have:

• Strong commercial experience in customer analytics, customer insight, or customer strategy.
• Advanced SQL skills and experience with data visualisation tools.
• Experience delivering customer segmentation, clustering, predictive modelling, and regression analysis projects.
• Strong understanding of customer behaviour, retention, loyalty, and lifetime value metrics.
• The ability to communicate complex analytical findings to non-technical stakeholders.
• Experience influencing senior stakeholders and driving data-led decision-making.
• Exposure to team leadership, mentoring, or line management would be advantageous.
• Experience using analytical tools such as SQL, Python, or similar analytics technologies is beneficial.

What They Offer

• Opportunity to lead high-impact customer analytics projects.
• Exposure to senior stakeholders across multiple business functions.
• Collaborative analytics environment with strong investment in data and insight capabilities.
• The chance to further develop leadership and strategic analytics expertise.

How to Apply
If you’re a customer analytics professional looking for a highly visible role where you can shape customer strategy and influence key business decisions, apply today to discuss this opportunity in more detail.

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PRODUCT PROPOSITION MANAGER – MORTGAGES

London (Hybrid) | £70,000 – £90,000 + Bonus + Benefits

A fantastic opportunity for a Product Proposition Manager to join a growing financial services business. You’ll play a key role in shaping product strategy, analysing market trends, and driving commercial performance across their property portfolio.

THE COMPANY

This established financial services organisation is investing heavily in its product function as part of its continued growth strategy. They offer a collaborative environment where Product, Commercial, Finance, Marketing, and Data teams work closely to deliver innovative solutions and strong customer outcomes.

THE ROLE

• Manage and enhance lending propositions across the product lifecycle
• Monitor competitor activity, pricing, and market trends
• Analyse performance data and MI to identify opportunities for growth
• Support product governance and performance monitoring
• Deliver commercial recommendations to optimise product performance
• Partner with stakeholders across Product, Commercial, Finance, Marketing, and Operations
• Support new product launches and proposition enhancements

YOUR SKILLS & EXPERIENCE

• Experience in Product Management, Proposition Management, or Product Pricing within the mortgage space
• Strong commercial and analytical skills
• Experience in priicng analytics and pricing strategy
• Experience using MI and performance reporting to drive decisions
• Advanced stakeholder management and communication skills
• Strong Excel capabilities

WHAT THEY OFFER

• Salary from £70,000 – £90,000 depending on experience
• Discretionary bonus
• Private medical insurance
• Competitive pension
• Hybrid working
• Strong career progression opportunities
• Exposure to senior leadership and strategic initiatives

HOW TO APPLY

Please submit your CV via the application link to be considered for this opportunity.

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Lead / Senior Data Product Consultant

Lead up to £90k
Senior up to £60k
1 day/month in central London

Build products, not dashboards.

We’re partnering with a global professional services organisation undergoing a major data transformation. As part of continued growth, they’re expanding a specialist team focused on building analytics products used by both internal teams and external clients.
This is a unique opportunity for someone who enjoys combining stakeholder engagement, product ownership and hands-on Python development.
You’ll work directly with business users to understand challenges, define requirements and build solutions that help organisations make better decisions through data.

The Role

The team develops analytics and software products that support consulting, benchmarking and business insights.
Examples include:

• Benchmarking platforms
• Assessment and diagnostic tools
• Interactive reporting products
• Client-facing analytics applications
• Decision-support tools used by consultants and commercial teams

You’ll own products from concept to delivery, working across discovery, design, development and ongoing enhancement.
This is not a traditional BI or reporting role.

What You’ll Be Doing

• Engaging with stakeholders to understand business challenges and opportunities
• Running discovery sessions and gathering requirements
• Translating business needs into scalable product solutions
• Designing and building Python-based applications and analytics products
• Creating user-facing tools using technologies such as Streamlit, R Shiny, Dash or similar
• Delivering reporting and visualisation solutions where appropriate
• Presenting solutions and recommendations to technical and non-technical audiences
• Driving product adoption through user feedback and continuous improvement

Lead Consultants Will Also:

• Own product strategy and roadmap decisions
• Take responsibility for end-to-end product delivery
• Influence the direction of the wider analytics product function

What We’re Looking For

Essential

• Strong hands-on Python development experience
• Experience building applications, tools or data products
• Proven ability to take solutions from idea through to delivery
• Excellent stakeholder management and requirements gathering skills
• Ability to translate business problems into technology solutions
• Strong communication and consulting skills

Desirable

• Streamlit, R Shiny, Dash or similar frameworks
• Power BI or other visualisation tools
• Product ownership or product management experience
• Analytics engineering experience
• SQL knowledge
• Experience within consulting, financial services, insurance, technology or other enterprise environments

Why Join?

You’ll join a growing team building products that are strategically important to the business. You’ll have genuine ownership, exposure to senior stakeholders and the opportunity to create solutions used across a large enterprise and its client base. If you enjoy solving business problems, working directly with stakeholders and building products people actually use, we’d love to hear from you.

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Operations Analytics Lead

£90,000-£100,000 + Bonus

London (Hybrid – 3x Days a Week in Office)

The Company

A leading global fintech is looking for an Operations Analytics Lead to join a high-performing Data & Insights function. This is a fast-moving, technology-led financial services business with a strong focus on data, digital products and improving customer experiences. The Operations function spans areas including Customer Experience, KYC and Client Onboarding, Payments, Transaction Reporting and AI Operations; Analytics sits at the heart of how the business measures performance, identifies opportunities and makes strategic decisions.

The Role

This is a senior, hands-on analytics leadership position combining people management, strategic thinking and technical delivery. You’ll lead a team of around 4-5 analysts, while remaining approximately 60% hands-on yourself. The team has an existing roadmap, but this role will bring greater structure and prioritisation, helping move the function away from reactive requests towards a more strategic, commercially focused approach. You’ll work closely with senior stakeholders across Operations, challenging priorities, defining the right questions and using data to influence decisions. A major part of the role will be around AI and automation. You’ll help measure the impact of AI-enabled operational tools, support the development of internal copilots and ensure that AI initiatives are backed by robust analytical frameworks. You’ll also work across areas such as workforce analysis, customer-service operations, KYC and operational efficiency.

Your Skills & Experience

• Proven experience managing an analytics team
• Strong SQL skills
• Strong statistical understanding, including A/B testing, experimentation and statistical significance.
• Experience developing analytical frameworks and using data to influence business strategy.
• Comfortable being hands-on while also setting direction and influencing senior stakeholders.
• Practical experience using AI tools such as Copilot or Claude to improve processes or analytical workflows.
• Experience within financial services, fintech or another regulated environment is highly desirable.
• Python experience is preferred.
• Experience with dbt, Airflow and Git would be advantageous.
• Experience with Looker, Tableau or another enterprise BI platform.
• Background in operational analytics, workforce management, customer service, KYC or similar environments would be beneficial.
• The ability to turn a reactive analytics function into a more structured, prioritised roadmap.

The Benefits

• £90,000-£100,000
• 15-25% bonus

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Senior Digital Analyst – Implementation

£50,000-£60,000 + 10% Bonus

London (Hybrid – 3x Days a Week in Office)

Sponsorship – Available

Are you a technically minded Digital Analytics specialist with strong Adobe implementation experience? This is an opportunity to take ownership of a major analytics transformation, modernising tracking infrastructure across multiple digital products for a global live entertainment and ticketing business. With significant investment in its analytics capabilities, the business is looking for someone who can get hands-on with complex implementations, improve data quality and help shape the future of its global digital analytics function!

The Company

A leading global ticketing and live entertainment platform, working with major venues, promoters and sporting organisations across the UK, Europe and North America. Operating at significant scale, the business combines ticketing technology with rich first-party customer data, digital marketing and fan engagement. As it continues to invest in its global analytics capabilities, there is a real opportunity to influence how data is collected, governed and used across its digital platforms.

The Role

As the Senior Digital Analyst, you will play a key role in transforming the organisation’s digital analytics infrastructure. You’ll take ownership of hands-on technical implementation, helping rebuild the data layer across eight digital products while supporting the migration from legacy Adobe Analytics implementations to the modern Adobe Experience Platform Web SDK. This is a technically focused position where you’ll need to be comfortable leading large-scale implementations, troubleshooting complex tracking issues and working through legacy environments to deliver reliable, scalable solutions.

Key responsibilities include:

• Lead large-scale digital analytics and tagging implementations across multiple digital products.
• Own data layer design, implementation, testing and quality assurance.
• Implement and maintain Adobe Analytics tracking, Adobe Launch configurations and tracking pixels.
• Support the migration from legacy tracking infrastructure to Adobe Experience Platform Web SDK (Alloy.js).
• Troubleshoot implementation issues and improve the accuracy and reliability of digital data.
• Work closely with Product, Marketing Technology and Analytics teams to deliver robust tracking solutions.
• Establish technical documentation, implementation standards and best practices.
• Support marketing attribution, reporting and the wider analytics transformation programme.
• Contribute to the future roadmap, including potential server-side tracking and broader data integration.
• Provide technical support to junior team members and help strengthen implementation capability as the global function grows.

Your Skills & Experience

• Strong hands-on experience implementing Adobe Analytics in a complex digital environment.
• Proven experience with Adobe Launch
• Strong JavaScript skills, particularly in relation to tracking implementation and debugging.
• Experience designing and implementing data layers, tags and tracking pixels.
• Experience leading or delivering large-scale digital analytics implementations.
• Exposure to Adobe Experience Platform Web SDK (Alloy.js), ideally including migration from legacy implementations.
• The ability to take ownership of technical delivery and work confidently with Product, Marketing Technology and commercial stakeholders.
• A detail-oriented approach, with the ability to navigate complex or outdated tracking environments.

The business is particularly interested in technically strong implementation specialists, although candidates with broader digital analytics experience will also be considered where they have demonstrable hands-on technical expertise.

The Benefits

• £60,000-£70,000
• Bonus – 10%

How to Apply

Please register your interest by sending your CV via the Apply link on this page. Visa sponsorship available for eligible candidates.

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DATA ENGINEER
UP TO £50,000
LEEDS

This is an exciting opportunity for a Data Engineer to join a technology-driven organisation. You’ll have the chance to build modern data platforms from the ground up, support AI-focused initiatives, and work across a range of high-profile client projects. You’ll play a key role in shaping the future of the data engineering capability.

THE COMPANY

Our client is a well-established organisation operating at the intersection of data, technology and customer experience. They partner with a range of global brands to deliver innovative, data-led solutions across analytics, marketing and digital transformation. You’ll join a collaborative team working closely with Data Science and business stakeholders to solve complex data challenges.

THE ROLE

Responsibilities include but are not limited to:

• Build and maintain modern data platforms and scalable data pipelines
• Develop cloud-based data solutions
• Support AI-enabled initiatives and emerging data products
• Help establish engineering best practices
• Support data modelling, reporting and analytics requirements

YOUR SKILLS AND EXPERIENCE:

• Strong commercial experience with Python, SQL and cloud-based data platforms is essential
• Experience in marketing, advertising or media sectors is highly desirable
• Strong communication skills and ability to engage with stakeholders
• Experience with Snowflake, Microsoft Fabric and/or BigQuery is highly desirable

SALARY AND BENEFITS

• Up to £50,000 base salary
• Contributory pension scheme

HOW TO APPLY

Please register your interest to Mia Randhawa by sending your CV through the ‘Apply’ link

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CREDIT STRATEGY ANALYST

London (Hybrid, 3 days in office) | £40,000 – £80,000

Are you looking to join a high-growth fintech where you can shape lending decisions at scale? This is an opportunity to work in a profitable, data-driven business that is expanding across multiple international markets, offering strong progression opportunities for analysts with credit strategy experience.

The Company

They are an established international business with a strong analytical culture and a focus on data-led decision making. The organisation offers the opportunity to work on high-impact projects, collaborate with a range of stakeholders, and contribute to the development of risk strategies across multiple markets.

The Role

Key responsibilities include:

• Developing and enhancing acquisition and underwriting strategies
• Monitoring portfolio performance and identifying opportunities to improve credit outcomes
• Using SQL and analytical techniques to drive strategy decisions
• Supporting approval, limit management, pricing, and exposure management initiatives
• Working closely with risk, analytics, product, and commercial teams to improve lending performance
• Analysing customer and portfolio data to recommend strategy changes
• Contributing to the development of automated credit decisioning processes

Your Skills & Experience

• Experience within Credit Strategy, Credit Risk, or Lending Analytics
• Experience working on acquisition, underwriting, approval, limit management, exposure management, or pricing strategies
• Strong SQL skills
• Experience using data to influence lending and commercial decisions
• Python and Tableau experience would be advantageous
• SME lending experience is beneficial but not essential

What They Offer

• Salary between £40,000 and £80,000 depending on experience and level
• Opportunities at Analyst, Senior Analyst, and Lead Analyst level
• Hybrid working with three days per week in the office
• Exposure to international lending portfolios
• Clear progression within a growing and profitable organisation
• The opportunity to influence key lending strategy decisions in a high-performing business

How to Apply

If you have strong credit strategy experience and advanced SQL skills, apply today to learn more about this opportunity.

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LEAD CREDIT RISK ANALYST

CARDIFF (HYBRID) | £60,000 – £70,000 + BONUS

This is an exciting opportunity for a Lead Credit Risk Analyst to join a growing lending business and take ownership of credit strategy across a retail lending portfolio. You’ll have the chance to influence key lending decisions, optimise portfolio performance, and work closely with senior stakeholders to shape the future direction of the credit function.

THE COMPANY

They are a well-established financial services organisation with a strong focus on data-driven decision making and customer outcomes. They continue to invest in analytics, technology, and innovative solutions to support sustainable growth, and are particularly keen on enhancing automated decisioning capabilities.

The business offers a collaborative and supportive culture where employees are encouraged to take ownership, challenge existing processes, and drive continuous improvement.

THE ROLE

* Lead the development and optimisation of credit policy across the portfolio

* Own lending criteria and decisioning strategies to balance growth, automation, and risk appetite

* Enhance referral and application funnel strategies to improve efficiencies and customer outcomes

* Monitor portfolio performance across approvals, arrears, defaults, recoveries, and profitability

* Conduct detailed portfolio analysis to identify emerging risks and commercial opportunities

* Use SQL and Python to analyse data and develop actionable credit risk insights

* Produce high-quality management information, reporting, and strategic recommendations for senior stakeholders

* Support the implementation of new products, data sources, and decisioning capabilities

YOUR SKILLS & EXPERIENCE

* Strong commercial experience within credit risk, credit strategy, or risk analytics

* Experience developing or optimising credit policy within a regulated consumer lending environment

* Strong understanding of underwriting strategies, portfolio monitoring, and credit risk controls

* Hands-on experience using SQL, Python desirable

* Ability to translate complex analytical findings into clear commercial recommendations

* Experience presenting insights and recommendations to senior stakeholders

* Exposure to decisioning systems, automation initiatives, or strategy implementation projects would be beneficial

WHAT THEY OFFER

* £60,000 – £70,000 base salary

* Annual bonus scheme

* Comprehensive benefits package

* Hybrid working model

* Exposure to high-impact strategic projects

* Opportunity to influence risk strategy and business performance

* Clear progression opportunities within a growing analytics and risk function

* Collaborative and supportive culture focused on professional development

HOW TO APPLY

Please register your interest by sending your CV through the Apply link.

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SENIOR CREDIT RISK STRATEGY ANALYST – FINTECH
£80,000
LONDON

This FinTech have been through significant growth in the past few years and are looking to continue on this journey. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in developing their lending strategies. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Developing and driving lending strategies across the business, across both acquisitions and exisiting customers
• Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
• Analysing wider portfolio performance to drive innovation and forecast future developments
• Integrating CRA and wider customer data to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within consumer lending
• Strong experience in developing and leading implementation of credit risk strategies is essential
• SQL or Python experience is essential
• Experience working with SME or business lending is highly desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Bonus
• Private medical care
• Pension scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Analyst, Marketing Science
London | Hybrid (3 days in office) | £40,000 – £60,000
This is a fantastic opportunity for an Analyst to join a leading customer experience and marketing consultancy where data and analytics are central to driving customer engagement and business performance. You’ll gain exposure to a wide range of analytics projects, working with well-known brands while developing your technical and commercial skillset in a collaborative environment.
The Company
They are a specialist customer experience and marketing consultancy that helps organisations make better decisions through data, analytics, and customer insight. Their analytics function combines marketing science, customer analytics, and data capability to deliver measurable business outcomes. Working across a diverse client portfolio, they offer strong opportunities for professional development, cross-functional collaboration, and long-term career progression.
The Role

• Deliver campaign performance analysis and marketing effectiveness reporting
• Analyse customer journeys and customer behaviour to identify actionable insights
• Build reports, dashboards, and visualisations to support stakeholder decision-making
• Use analytics tools such as GA4, Adobe Analytics, and similar platforms to answer business questions
• Support ad-hoc insight requests and project-based analytics work
• Work closely with strategy, data, technology, and client teams
• Assist with tagging, tracking, and data capture initiatives
• Contribute to customer, content, and digital analytics projects
• Present findings and recommendations in a clear and commercial manner

Your Skills & Experience

• Commercial experience in marketing analytics, digital analytics, or customer analytics
• Experience using SQL and/or Python for data analysis
• Knowledge of analytics platforms such as GA4, Adobe Analytics, Sprinklr, or similar tools
• Experience creating reports, dashboards, and data visualisations
• Understanding of campaign measurement and marketing performance analysis
• Strong analytical thinking and problem-solving skills
• Ability to communicate insights clearly to both technical and non-technical stakeholders
• Experience within an agency or consultancy environment is advantageous

What They Offer

• Salary of £40,000 – £60,000
• Hybrid working model
• Exposure to a broad range of clients and analytics projects
• Structured career development and internal mobility opportunities
• Opportunity to work across customer analytics, digital analytics, and marketing science projects
• Collaborative environment with access to experienced analytics professionals
• Exposure to emerging analytics and AI-driven insight initiatives

How to Apply
If you’re looking to develop your career in marketing analytics within a fast-paced and innovative consultancy environment, apply today to learn more about this opportunity.

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Principal Machine Learning Engineer

Up to €135,000

Paris or Barcelona (2 days a week in office)

This is an opportunity to join a high-growth technology business where machine learning sits at the heart of the product. Reporting directly to the CTO, you will influence technical strategy, lead complex machine learning initiatives, and remain hands-on with the development of models that power large-scale commercial decision-making.

THE COMPANY

They are a profitable AdTech scale-up specialising in AI-driven performance advertising. Their platform helps businesses acquire and re-engage users through highly targeted digital advertising, using machine learning to determine which users see specific adverts and when. Having achieved significant growth in recent years, they continue to invest heavily in their machine learning and data capabilities while maintaining a collaborative, engineering-led culture. Their teams are distributed internationally and work on products that make billions of real-time decisions each day.

THE ROLE

As a Principal Machine Learning Engineer, you will combine technical leadership with hands-on machine learning engineering responsibilities.

Specifically, you can expect to be involved in the following:

• Defining technical direction and influencing machine learning strategy across multiple teams
• Designing, building and deploying machine learning models in production environments
• Developing recommendation systems and bidding algorithms within a large-scale advertising ecosystem
• Building audience targeting and mobile attribution models
• Creating customer lifetime value and churn prediction models
• Scaling machine learning infrastructure, experimentation frameworks and training pipelines
• Driving best practices across MLOps, model monitoring, observability and automated retraining
• Partnering with engineering leadership and business stakeholders to align technical solutions with commercial objectives
• Mentoring engineers and contributing to architecture and platform decisions across the machine learning function
• Leading the development of new machine learning capabilities from research through to production deployment

SKILLS AND EXPERIENCE

The successful Principal Machine Learning Engineer will have the following skills and experience:

• Strong commercial experience as a Machine Learning Engineer at Senior, Staff or Principal level
• Proven track record of building and deploying production machine learning systems at scale
• Experience within AdTech, programmatic advertising, RTB or DSP environments is highly desirable
• Expertise in one or more of the following areas: recommendation systems, audience targeting, attribution modelling, customer lifetime value modelling or churn prediction
• Strong Python and machine learning engineering skills
• Experience with modern machine learning frameworks such as PyTorch, TensorFlow or similar technologies
• Exposure to MLOps tooling, experimentation platforms and large-scale data environments
• Experience leading technical initiatives and influencing engineering direction
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders
• PhD or advanced academic background in a STEM discipline is beneficial but not essential

BENEFITS

The successful Principal Machine Learning Engineer will receive the following benefits:

• Salary up to €135,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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