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Up to £60,000 + up to 20% bonus
Hybrid – London (2 days per month in Romford)

I’m hiring a Customer Experience Optimisation Manager to join a growing, tech‑focused insurance business and take ownership of experimentation and optimisation across the full customer journey.

This is a high‑impact role, owning how the business tests, learns, and improves performance across marketing and digital channels.

The company

A modern, fast‑growing travel insurance provider operating across multiple brands, focused on delivering strong customer experiences in a highly regulated space.

They sit somewhere between a tech business and a traditional insurer – meaning fast‑paced, data‑driven, and highly commercial.

The role

You’ll be responsible for building and owning the experimentation strategy across the business, working across marketing, customer experience, and product teams.

This is not a narrow product analytics role – it’s holistic experimentation ownership across all channels.

What you’ll be doing

• Own the experimentation roadmap and CRO strategy across the full customer journey
• Design and run A/B tests across email, website, and direct marketing channels
• Identify customer pain points and define optimisation opportunities
• Work with UX, engineering, and marketing teams to implement tests and improvements
• Analyse results and turn findings into scalable business improvements
• Build frameworks for testing, measurement, and continuous optimisation
• Drive a culture of data‑driven experimentation across the business

What you bring

Must‑haves

• Strong experience working in CRO / experimentation / optimisation roles
• Proven experience owning an experimentation roadmap (not just contributing)
• Hands‑on experience running A/B and multivariate testing at scale
• Experience identifying customer journey pain points and driving improvements
• Strong stakeholder skills – able to work across marketing, product, and tech
• Experience with experimentation tools (e.g. Optimizely, VWO, AB Tasty, etc)

Strongly preferred

• Experience in insurance, financial services, telecoms, or regulated industries
• Experience across multiple channels (email, website, direct marketing)
• Background in conversion rate optimisation or digital performance
• Experience in fast‑paced, commercial environments (e.g. retail, travel, eCommerce)

Not the right fit if:

• You’re a pure product analyst who only occasionally runs tests
• You haven’t owned end‑to‑end experimentation strategy
• Your experience is heavily skewed toward reporting, not testing

What they’re looking for

• 5-6+ years’ experience
• A confident, independent operator – able to own this function end‑to‑end
• Strong commercial mindset and focus on measurable outcomes
• Someone who can translate testing into real business impact

The team

• Reports into Head of Marketing / Customer Experience
• Works alongside marketing, CRM, UX, and product teams
• Dedicated CX function already in place – this role adds deep experimentation capability

Why this role

• Full ownership of experimentation across an entire business
• Opportunity to shape a CRO capability from the ground up
• High visibility across senior stakeholders
• Work in a fast‑growing, modern insurance business
• Flexible hybrid working (only 2 days per month in office)

Package

• Up to £60,000 salary
• Up to 20% discretionary bonus

Interview process

• Stage 1: Intro conversation
• Stage 2: Technical + presentation (experimentation focus)
• Final stage: Leadership discussion

If you’re someone who has owned experimentation end‑to‑end and wants a role with genuine autonomy and impact, this is a great opportunity.

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£90,000 + Benefits
London (4 days per week in the office)
This is a fantastic opportunity to join a rapidly scaling SaaS business where you can build and lead the Data Engineering function from the ground up whilst remaining hands-on with cutting-edge data and AI initiatives.

THE COMPANY:

The business works with major enterprise clients across Financial Services, Retail, Telecommunications, Travel and Healthcare. This is an exciting opportunity to join at a pivotal stage of growth and have a genuine impact on the future direction of the business.

THE ROLE:

You will take ownership of the Data Engineering function, driving technical excellence, engineering best practice and team growth whilst leading the development of scalable, cloud-based data solutions.
Key responsibilities include:

• Building and leading the Data Engineering function, defining standards, processes and ways of working.
• Managing, mentoring and developing a growing team of Data Engineers.
• Designing and delivering scalable ETL/ELT pipelines across operational, analytical and AI data environments.
• Owning data architecture, modelling strategy, CI/CD processes and deployment governance.
• Driving adoption of AI-enabled engineering practices to improve development efficiency, quality and scalability.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Previous experience leading and line-managing Data Engineering teams.
• Advanced SQL and Python development skills.
• Consultancy experience
• Building and optimising ETL/ELT pipelines within modern cloud environments.
• Data modelling, dimensional modelling and modern data architecture principles.
• CI/CD, Git, DevOps practices and cloud platforms including Azure, AWS and/or GCP.

THE BENEFITS:

You will receive a salary of up to £90,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Analyst

£90,000 + Bonus

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

If you enjoy solving commercial problems, influencing product strategy, and using data to shape customer experiences, this is a fantastic opportunity to join one of the UK’s most exciting AI-first businesses!

The Company

Following significant growth across the UK, Europe and the US, this global marketplace is continuing to invest heavily in Product, Data and AI as they build the next generation of customer experiences; data is at the centre of every product decision, with analysts embedded directly into Product squads to identify opportunities, measure impact and influence strategy. This is a business where analytics drives action!

The Role

You’ll join a growing Data function, partnering closely with Product Managers, Engineers and Designers to solve complex business problems through data. This is a highly commercial role where you’ll combine analytics, experimentation and light-touch data science to uncover opportunities, influence product strategy and deliver measurable business impact. You’ll work across the full product lifecycle, from sizing opportunities before development through to measuring success once new features are launched.

Projects include:

• Recommendation engines and personalisation
• Product analytics and customer journey optimisation
• Experimentation and A/B testing
• AI-powered product features and proof of concepts
• Opportunity sizing and commercial analysis
• Product performance measurement

Your Skills & Experience

• Strong SQL skills
• Python experience or hands-on exposure to AI/LLM tools
• Experience delivering actionable insights to senior stakeholders
• Strong commercial acumen and problem-solving ability
• Experience designing, measuring and interpreting experiments
• Excellent communication and stakeholder management skills

This role is ideal for someone who enjoys understanding business problems first, then using the right analytical techniques to deliver meaningful outcomes.

The Benefits

• £80,000-£90,000

How to Apply

Please register your interest by sending your CV via the Apply link on this page.

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CRO Developer

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

£45,000 – £60,000

Are you passionate about Conversion Rate Optimisation and looking for the opportunity to build a CRO function from the ground up? I am partnering with an established digital business that’s investing heavily in experimentation and optimisation. Following two years of successful contractor-led CRO activity, they’re now looking for their first permanent CRO Manager to own the function, shape experimentation strategy and build a team as the business continues to grow; this is a genuine greenfield opportunity with significant autonomy, senior stakeholder exposure and the chance to make a measurable commercial impact from day one!

The Company

My client is an international digital marketing and customer acquisition business that owns and operates a portfolio of high-performing online brands across both B2B and B2C markets. Since launching in 2013, the business has grown to over 100 employees with operations across the UK, North America, Australia and Europe, supporting millions of customer interactions every year. Unlike traditional agencies, the business owns its own digital platforms, giving the team complete control over customer acquisition, experimentation and optimisation across the entire user journey. With over 40 products, multiple acquisition funnels and high volumes of website traffic, experimentation is viewed as a key commercial growth lever and has strong backing from senior leadership.

The Role

As the CRO Manager you will take ownership of Conversion Rate Optimisation across multiple brands and customer journeys; initially operating as an individual contributor, you’ll have the opportunity to establish experimentation best practice before growing and leading the CRO capability over time.

Key responsibilities include:

• Owning the CRO roadmap across multiple digital brands
• Designing, implementing and analysing A/B and multivariate tests
• Building experimentation frameworks and best practice
• Identifying opportunities to improve customer journeys and conversion performance
• Partnering with Product, Marketing, PPC and Development teams
• Using customer behaviour data to prioritise optimisation opportunities
• Measuring commercial impact and presenting recommendations to stakeholders
• Helping establish a long-term experimentation culture across the business

Your Skills & Experience

• Extensive CRO / Experimentation experience
• Hands-on test build/development experience
• Proven experience delivering successful experimentation programmes
• Strong knowledge of A/B testing methodologies
• Hands-on experience with platforms such as Convert.com, Optimizely, VWO or similar
• Experience working with high-traffic websites
• Strong understanding of customer journey optimisation
• Excellent stakeholder management and communication skills
• Commercial mindset with a focus on measurable outcomes
• Experience within lead generation or performance marketing environments advantageous
• Previous mentoring or management experience beneficial

The Benefits

• £45,000 – £60,000
• Genuine opportunity to build and lead the CRO function; clear progression as the optimisation function expands

How to Apply

To register your interest in this opportunity, please submit your CV via the Apply link on this page. For more information, contact Adam Osborne at Harnham

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Customer Experience Optimisation Manager

Remote (UK) | 2 Days Per Month in Essex (London Zone 6)
Up to £60,000 + 15-20% Discretionary Bonus

Intro

An exciting opportunity to join one of the UK’s leading travel insurance groups as they continue their international expansion. This role offers full ownership of the end-to-end customer journey, leading CRO strategy, experimentation and digital optimisation across multiple consumer brands.

THE COMPANY

Our client is an award-winning travel insurance group that has helped over 30 million customers since launching in 2000. With operations across the UK and Australia, and further international expansion planned, they are recognised as one of the Top 10 Insurance Companies to Work For in the UK. Their business is built around innovation, experimentation and delivering exceptional digital customer experiences.

THE ROLE

You’ll own the end-to-end digital customer journey, developing and delivering a strategic CRO roadmap that improves conversion, retention and overall customer experience.

Working across Marketing, UX, Engineering, Pricing and Customer Operations, you’ll lead experimentation programmes, use data to identify optimisation opportunities, present recommendations to senior stakeholders and ensure successful ideas are implemented across the business.

This is a strategic, hands-on role with significant autonomy and visibility.

YOUR SKILLS AND EXPERIENCE

• Strong experience in Conversion Rate Optimisation (CRO) and experimentation.
• Hands-on A/B testing experience using platforms such as AB Tasty, Optimizely, VWO or similar.
• Experience with analytics platforms including Google Analytics or equivalent.
• Strong understanding of tagging, front-end implementation, experimentation architecture and UX/UI principles.
• Proven ability to own optimisation projects from strategy through to delivery.
• Excellent stakeholder management and presentation skills.
• Experience in agency or in-house environments considered.
• Permanent employment background preferred (no freelance-only experience).

THE BENEFITS

• Up to £60,000 salary.
• 15-20% discretionary bonus.
• Remote-first working with just two office days per month.
• Join a collaborative and social team.
• Opportunity to shape optimisation strategy across multiple consumer brands.
• International business with ambitious growth plans.
• Three-stage interview process completed entirely online.

HOW TO APPLY

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

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Data Modeller

Location: Hybrid, London

Contract: 6 Months

IR35: Inside IR35

Rate: £600 – £700 per day

Start Date: September

This is an opportunity to shape the future of enterprise data within a large-scale transformation programme. You’ll play a pivotal role in defining data modelling standards, building an enterprise data model that supports AI and self-service analytics, and establishing best practices that will influence future programmes across the organisation.

The Company

They are a large, well-established FTSE 100 organisation investing heavily in the modernisation of their data landscape. As part of a significant enterprise transformation, they are consolidating multiple data platforms to create a scalable, future-ready data environment. Their focus is on enabling advanced analytics, AI capabilities, and improved decision-making through a robust enterprise data strategy. You will join a collaborative data function working closely with business and technical stakeholders.

The Role and Deliverables

• Design enterprise logical and physical data models across multiple business domains.
• Develop and implement a repeatable enterprise data modelling framework, methodology, and playbook.
• Define and promote data modelling standards, principles, and best practices across the organisation.
• Translate complex business requirements into scalable data models in collaboration with architects, engineers, and business analysts.
• Build enterprise data models that support AI initiatives, self-service analytics, and future data products.
• Contribute to data governance objectives and support the wider enterprise data unification strategy.

Your Skills & Experience

• Strong experience delivering enterprise data modelling as a core discipline.
• Deep understanding of enterprise data modelling methodologies, including Kimball, Inmon, and dimensional modelling.
• Familiarity with Data Vault approaches and broader enterprise modelling concepts.
• Ability to design logical and physical data models from first principles without reliance on modelling software.
• Comfortable communicating data models through workshops, whiteboards, Visio, Excel, or other visual techniques.
• Strong SQL and Python skills.
• Experience working within modern cloud data platforms and analytics environments.
• Knowledge of Medallion Architecture and modern data transformation approaches.
• Experience with Microsoft Fabric, Databricks, Snowflake, or comparable cloud data platforms.
• Strong stakeholder management skills with the ability to explain complex modelling concepts to both technical and non-technical audiences.
• Experience influencing standards, facilitating workshops, and gathering business requirements.

How to Apply

If you are passionate about enterprise data modelling and want to define the foundations of a long-term data strategy, apply today to discuss this contract opportunity in more detail.

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Azure Cloud Engineer

Up to £60,000
Oxfordshire (Hybrid – 1 day per week)

This is a great opportunity to join a high‑growth organisation where you can take ownership of designing and delivering cloud infrastructure within a fully Azure-native environment.

THE COMPANY:

This is a consultancy-led technology business delivering innovative cloud and AI-driven solutions across multiple industries. The organisation partners closely with clients to deliver complex transformation programmes with real, measurable outcomes. The business operates at the intersection of consulting and technology, combining deep domain expertise with modern cloud engineering to drive innovation, efficiency, and growth across its client base.

THE ROLE:

You will take ownership of Azure cloud architecture and engineering across the business, acting as the technical authority within a small but highly impactful cloud function.
Key responsibilities include:

• Designing, building, and maintaining Azure cloud infrastructure
• Acting as a subject matter expert, providing architectural guidance and solution design
• Supporting internal consultants with cloud solutioning and infrastructure recommendations
• Building and managing cloud resources (VMs, SQL Servers, Web Apps, Docker environments)
• Developing and maintaining CI/CD pipelines using Azure DevOps and GitHub
• Driving a code-first approach with Infrastructure-as-Code and automation
• Leading on cloud integrations, including Azure Integration Services
• Supporting governance, security, compliance, backup, and recovery processes
• Contributing to AI-driven and innovation-focused internal projects
• Mentoring junior engineers and setting technical standards across the team

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• Hands-on Microsoft Azure engineering and architecture
• Designing scalable, secure cloud solutions end-to-end
• Infrastructure-as-Code (ideally Bicep or Terraform)
• Building and managing CI/CD pipelines (Azure DevOps / GitHub Actions)
• Cloud automation using PowerShell and Azure CLI
• Strong stakeholder engagement and communication skills
• Security, governance, and compliance within cloud environments

THE BENEFITS:

You will receive a salary up to £60,000 depending on experience, along with a comprehensive benefits package

HOW TO APPLY:

Please register your interest by sending your CV to Molly Bird via the apply link on this page.

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Senior Analytics Engineer

Oxford/ Hybrid

Up to £65,000

Overview

This is an excellent opportunity for a Senior Analytics Engineer to join a growing, data-driven organisation at a key stage of its development. You’ll play a central role in modernising data platforms, improving data accessibility, and supporting international growth initiatives while working with a modern Microsoft technology stack.

The Company

They are a specialist information and data services organisation that helps businesses make informed decisions through high-quality data, analytics, and intelligence solutions. With a growing international presence and continued investment in technology, they are expanding their data capabilities to support new products, markets, and customer demands.

The business operates a cloud-first data environment and is committed to building scalable, reliable, and innovative data solutions. This role sits within a collaborative data function, working closely with engineering, analytics, and data acquisition teams.

The Role

As a Senior Analytics Engineer, you will take ownership of a key area of the data platform and play an important role in enhancing data quality, performance, and scalability.

Key responsibilities include:

• Designing, building, and optimising ELT pipelines across cloud-based data platforms.
• Developing and maintaining data solutions using Azure, Azure Data Factory, Microsoft Fabric, and SQL.
• Supporting data migration and platform modernisation initiatives.
• Improving data processing efficiency and reducing data latency across multiple regions.
• Working with both modern and legacy data models to deliver scalable solutions.
• Developing and maintaining Power BI reporting and analytics capabilities.
• Implementing best practices around data quality, documentation, governance, and maintainability.
• Collaborating with technical and non-technical stakeholders to translate business requirements into robust data solutions.
• Contributing to architectural decisions and continuous improvement across the data platform.

Your Skills & Experience

To be successful in this Senior Analytics Engineer role, you should have:

• Strong commercial expertise in SQL, which is a core requirement for the position.
• Experience working with Azure Data Factory (ADF), Microsoft Fabric, and Azure cloud technologies.
• Strong knowledge of ELT pipeline development, optimisation, and data integration.
• Experience supporting data migration projects and modernising existing data environments.
• Expertise in Power BI and data visualisation.
• Experience working with legacy data models while delivering improvements and modernisation.
• Knowledge of Agile or Scrum delivery environments.
• The ability to work independently, take ownership of projects, and communicate effectively with a range of stakeholders.

Desirable experience includes:

• Python for automation or data scraping.
• C# development experience.
• Azure DevOps, source control, and branching strategies.
• Data warehousing, datamarts, and reporting databases.
• Exposure to Data Science workflows and concepts.

What They Offer

• £65,000 base salary.
• Comprehensive benefits package.
• Hybrid working with 2 days per week in the Oxford office.
• Opportunity to own and shape a key area of the data platform.
• Exposure to large-scale international data initiatives.
• A collaborative environment with strong investment in data and technology.
• Clear opportunities to influence technical strategy and contribute to platform growth.

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