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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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Data Scientist

Liverpool | Up to £55,000 + Benefits

Join a growing Data Science team within a large UK organisation investing heavily in Data & AI. This is an opportunity to work on customer-focused machine learning projects, help scale Data Science capabilities, and deliver models that create real commercial impact.

The Company
They are building a modern Data Science function as part of a wider data transformation programme. With increasing investment in customer analytics and personalisation, the team is focused on developing scalable solutions that support business growth. The culture is collaborative, pragmatic, and centred on delivering value through production-ready machine learning.

The Role

• Build and deploy predictive and statistical models
• Develop customer segmentation, customer lifetime value, and churn models
• Deliver forecasting and customer analytics solutions
• Work across the full Data Science lifecycle from problem definition to deployment
• Partner with analysts, engineers, and business stakeholders
• Present insights and recommendations to non-technical audiences
• Support the development of Data Science best practices and capabilities

Your Skills & Experience

• Strong commercial Data Science experience
• Excellent Python and SQL skills
• Experience with machine learning and statistical modelling
• Proven experience deploying models into production
• Strong stakeholder management and communication skills
• Exposure to Azure or GCP is advantageous
• Experience with customer analytics or forecasting is beneficial

What They Offer

• Salary up to £55,000, with flexibility for exceptional candidates
• Hybrid working with 3 days per week onsite in Liverpool
• Exposure to high-impact machine learning projects
• Opportunity to help shape a growing Data Science function
• Staff discount, pension, wellbeing support, life assurance, and additional benefits

How to Apply
If you’re a Data Scientist with strong Python, SQL, and machine learning experience looking to make a tangible business impact, please apply today.

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Senior Product Owner – AI

£80,000-£90,000 + £5,000 Car Allowance + Bonus (up to 20%)

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

The Company

A leading UK organisation is undergoing a major AI transformation, with a dedicated AI Centre of Excellence responsible for identifying, developing and scaling AI opportunities across the business, and is seeking a Senior AI Product Owner. The AI team is moving beyond experimentation and proof-of-concepts, with a clear focus on taking successful AI solutions into production, driving adoption and delivering measurable business value. This is an exciting opportunity to join the AI Product function at a time of significant growth, working alongside senior AI Product leaders, AI Engineers and delivery specialists.

The Role

As the Senior AI Product Owner, you’ll sit at the intersection of Product, AI, business strategy and delivery. This isn’t a traditional Product Owner role where you’ll own a single product roadmap; instead, you’ll own a portfolio of AI opportunities, working with senior stakeholders to identify problems, shape use cases, prioritise initiatives and take solutions from discovery through to production and adoption. You’ll be a trusted partner to the business and the key interface between the AI Centre of Excellence and your domain.

You’ll be involved across the full lifecycle:

• Identifying and shaping AI opportunities
• Leading discovery and problem-framing workshops
• Prioritising a portfolio of AI initiatives
• Defining business outcomes and success measures
• Working with AI, engineering and delivery teams to take solutions into production
• Supporting hands-on delivery where appropriate, including configurable AI tools and low-code/no-code solutions
• Driving user testing, adoption and change
• Measuring usage, business impact and value realisation
• Iterating and improving solutions post-launch
• Ensuring AI initiatives meet appropriate privacy, security and responsible AI requirements

You’ll have a high level of autonomy and will be expected to take ownership, remove blockers and keep initiatives moving from idea through to measurable business outcome.

Your Skills & Experience

I am looking for someone with strong Product Management or Product Ownership fundamentals, combined with genuine hands-on experience delivering AI or GenAI solutions.

You’ll ideally have:

• Strong experience in Product Management, Product Ownership, Business Analysis or Transformation
• A track record of delivering measurable business outcomes
• Experience across discovery, prioritisation, roadmap/backlog management, delivery and post-launch optimisation
• At least one credible end-to-end enterprise AI or GenAI implementation
• Experience taking an LLM-based solution from discovery through to production
• Strong practical understanding of AI and GenAI capabilities and limitations
• Excellent stakeholder management skills, including working with senior business and technical stakeholders
• The ability to translate complex AI concepts into clear business language
• Experience working across multiple initiatives in an ambiguous, fast-moving environment
• A data-driven approach to prioritisation and measuring impact

Most importantly, you’ll need to be able to clearly articulate:

• What AI solution did you deliver?
• What was your personal ownership?
• Why was that approach chosen?
• How did you take it from discovery into production?
• How did you measure success?
• What business impact did it deliver?
• What happened after launch?
• How did you optimise the solution post-production?

The business is open to candidates from a broad range of industries. The key requirement is strong Product capability combined with genuine, demonstrable GenAI delivery experience. Candidates who have worked purely at a strategic, governance or oversight level without significant hands-on delivery experience are unlikely to be suitable.

The Benefits

• Up to £90,000 base salary
• £5,000 cash car allowance
• Up to 20% bonus

How to Apply

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

To Apply for this Job Click Here

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CRM Analyst
London (Hybrid) | Salary up to £35,000

Looking to take the next step in your CRM and data analytics career? This is a great opportunity to join a well-established consumer-focused organisation where you’ll play a key role in delivering targeted marketing campaigns, analysing customer behaviour, and helping to drive data-led decision-making across the business.

The Company
They are a recognised organisation with a strong customer focus and a commitment to leveraging data and technology to improve customer engagement. Operating at scale, they invest heavily in digital capabilities, analytics, and customer experience. This role sits within a collaborative team where you’ll have the opportunity to work with a broad range of stakeholders and contribute to impactful CRM initiatives.

The Role
As a CRM Analyst, you will support the delivery and optimisation of CRM campaigns through audience selection, campaign analysis, and customer insight generation.

Responsibilities include:

• Building and defining customer audiences for targeted CRM campaigns
• Using SQL and analytical tools to evaluate campaign performance and generate actionable insights
• Supporting the optimisation of customer targeting strategies across multiple communication channels
• Creating and maintaining campaign data fields and customer data aggregations
• Automating reporting processes and contributing to dashboard improvements
• Ensuring audience selections are accurate, compliant, and aligned with governance requirements
• Collaborating with stakeholders across marketing, data, and technology teams to deliver successful campaigns
• Recommending improvements based on campaign performance and customer behaviour analysis

Your Skills & Experience:

• Strong SQL skills and experience working with customer or marketing data
• Ability to analyse large datasets and identify meaningful trends and insights
• Experience supporting CRM, customer analytics, or marketing campaigns
• Excellent problem-solving and troubleshooting capabilities
• Confidence working independently and managing multiple priorities
• Strong attention to detail and a focus on data accuracy
• Comfortable learning new tools, technologies, and processes
• Excellent communication and stakeholder management skills

How to Apply
If you’re interested in this CRM Analyst opportunity and want to develop your skills within a data-driven environment, apply today to learn more.

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DATA ENGINEER

Up to £55,000 + Benefits
London (Hybrid, 3 days per week in the office)
This is a great opportunity to join a market-leading publisher where you can take ownership of the organisation’s data infrastructure and help shape the future of its data and AI capabilities.

THE COMPANY:

The business has built its success by combining publishing expertise with data-driven decision making, using analytics, reader behaviour insights, and innovative technology to drive commercial performance. The company is investing heavily in its data landscape and AI initiatives, creating an exciting opportunity for a Data Engineer to play a key role in modernising and expanding critical data systems.

THE ROLE:

You will take ownership of designing and building scalable SQL Server environments, developing new data ingestion processes, and supporting strategic transformation projects across the business.

Key responsibilities include:

• Designing and building SQL Server databases from scratch, including schema design, tables, views, stored procedures, and indexing.
• Developing end-to-end data ingestion workflows and ETL processes for new data sources and third-party platforms.
• Reviewing, optimising, and modernising existing SQL Server and SSIS environments.
• Building automation solutions using Python, APIs, and browser-based technologies.
• Working with stakeholders across the business to gather requirements and deliver impactful data solutions.

YOUR SKILLS AND EXPERIENCE:

You will bring strong capability in:

• SQL Server database architecture, schema design, and development.
• Building SQL Server environments from the ground up.
• SSIS development and optimisation.
• Azure-based integrations, migrations, and data transformation projects.
• Python automation, REST APIs, and data integration.
• Stakeholder management and communication with both technical and non-technical audiences.
• Tableau or other data visualisation platform experience.

THE BENEFITS:

You will receive a salary of up to £55,000 depending on experience, alongside 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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Director of Data Research
Remote (UK) | Salary up to £150,000 + Benefits

This is a unique opportunity to lead a high-impact Data Research function at a fast-growing, technology-led organisation. You will shape the strategy behind innovative data products, influence senior stakeholders, and build a scalable research capability that directly contributes to business growth.

The Company
They are a venture-backed data and technology business that provides advanced market intelligence solutions to a global client base. Operating in a high-growth environment, they combine proprietary methodologies with a wide range of data sources to generate valuable commercial insights. The organisation is investing heavily in its technology and data capabilities, creating significant opportunities for senior leaders to make a lasting impact. You will join a collaborative leadership team focused on innovation, quality, and continuous improvement.

The Role

• Define and lead the organisation’s data research strategy in partnership with senior leadership.
• Drive the discovery, assessment, and development of new data products and KPI tracking methodologies.
• Lead complex research initiatives from hypothesis generation through to evidence-based recommendations.
• Evaluate diverse structured and unstructured datasets to identify commercial opportunities.
• Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence.
• Improve processes to increase the speed and accuracy of data source assessments.
• Partner with data acquisition teams to support data purchasing and investment decisions.
• Lead, mentor, and grow a team of highly skilled data professionals.
• Build a scalable research function that supports long-term business objectives.
• Promote the effective use of AI and automation to enhance research quality and efficiency.

Your Skills & Experience

• Strong commercial experience leading data science, data research, analytics, or statistical research teams.
• Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets.
• Advanced Python and SQL skills with the ability to review and challenge technical work.
• Experience designing and leading open-ended research programmes from concept to delivery.
• Proven ability to develop technical standards and improve team performance.
• Strong stakeholder management skills with the ability to communicate complex findings to non-technical audiences.
• Experience balancing technical decision-making with commercial objectives.
• Comfortable operating in fast-paced, evolving environments.
• Exposure to alternative data, financial data, market intelligence, or investment research is advantageous.
• Experience applying AI tools to research, analytics, or data quality workflows is beneficial.

How to Apply
If you are an experienced data leader with a passion for research, innovation, and building high-performing teams, apply today to learn more about this exciting Director of Data Research opportunity.

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Director of Commerce Strategy
London (Hybrid, 2 days per week)
Salary up to £80,000

This is an opportunity to lead strategic eCommerce partnerships for a growing digital consultancy at the forefront of commerce, customer experience, and technology. You’ll work with senior stakeholders, shape digital growth strategies, and play a key role in delivering commercially impactful solutions for ambitious brands.

The Company
They are a specialist digital consultancy focused on delivering high-quality eCommerce and customer experience solutions. Combining commercial strategy, design, and technology, they partner with well-known consumer brands to create seamless digital journeys and drive measurable business outcomes. Their culture prioritises collaboration, continuous learning, and delivering meaningful work that creates lasting value.

The Role
You will act as the strategic lead across a portfolio of eCommerce clients, owning relationships, identifying growth opportunities, and helping shape digital solutions from discovery through delivery.
Responsibilities include:

• Building trusted relationships with stakeholders across client organisations, including senior leadership teams.
• Leading strategic workshops, discovery sessions, and planning activities.
• Translating business objectives and customer needs into actionable digital and commerce strategies.
• Identifying and developing account growth opportunities while supporting commercial objectives.
• Owning account performance, including client satisfaction, retention, and revenue growth.
• Partnering closely with design, technology, and delivery teams to define solutions and priorities.
• Managing project scope, budgets, resourcing, and change requests.
• Using analytics and customer insights to inform decision-making and demonstrate business impact.
• Monitoring key eCommerce performance metrics and delivering strategic recommendations.
• Supporting and guiding cross-functional teams to deliver high-quality outcomes.

• Strong experience in eCommerce strategy, client partnership, account management, or digital consulting environments.
• Proven ability to manage complex client relationships and lead strategic conversations.
• Strong understanding of eCommerce platforms, digital customer journeys, and online growth strategies.
• Knowledge of areas such as UX, CRO, SEO, analytics, APIs, and digital integrations.
• Commercially minded with experience identifying and developing new business opportunities.
• Comfortable working with both technical and non-technical stakeholders.
• Data-driven approach with the ability to translate insights into business recommendations.
• Excellent communication, presentation, and stakeholder management skills.
• Strong project and operational management capabilities.
• Interest in emerging technologies and AI-driven ways of working.

How to Apply
If you’re looking to combine eCommerce strategy, client leadership, and commercial impact in a senior role, apply today to learn more about this opportunity.

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Head of Commercial Analytics

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

£120,000-£140,000

Are you a commercially minded analytics leader who wants to own pricing, shape commercial strategy and influence the growth of a rapidly scaling fintech? This is an opportunity to join a high-growth subscription business at the intersection of consumer technology, fintech and sustainability. You’ll take ownership of commercial analytics and unit economics, using data to drive pricing decisions, maximise profitability and shape how the business grows. With major brand partnerships, a growing customer base and ambitious international plans, this is a chance to have a genuine impact on a business redefining how consumers access technology!

The Company

This innovative subscription and leasing platform is transforming how consumers and businesses access premium electronics. Rather than purchasing devices outright, customers can subscribe to technology through affordable monthly payments. The business has evolved beyond traditional leasing and now supports a wide range of consumer electronics, including laptops, tablets, gaming consoles, wearables and TVs. Its mission is to make technology more affordable, accessible and sustainable, helping drive the transition towards a circular economy; devices can be returned, refurbished, re-leased and ultimately recycled, extending their lifecycles and reducing e-waste. The business has built proprietary technology across credit and fraud decisioning, pricing, lifecycle operations and financing. It works with leading electronics brands to power subscription programmes and has developed a growing presence in embedded finance; with over $90m ARR, profitability and more than a quarter of a million subscriptions across consumers and small businesses, the company is continuing to scale. Its partnerships include major global electronics brands, with further growth and international expansion ahead.

The Role

As Head of Commercial Analytics, you’ll be the business lead on commercial analytics, pricing and unit economics. Working closely with the VP of Strategy & Analytics, senior leadership, co-founders, Product, Finance, Risk, Sales and Partnerships, you’ll own how pricing decisions are made across the business. This is a strategic and hands-on role; you’ll use SQL and Python to get into the detail, build commercial models and turn complex analysis into clear recommendations that influence growth and profitability. Your focus will be on understanding where the business can create more value through pricing, product development and commercial partnerships.

What You’ll Do

• Own the pricing test programme across the consumer website and partner checkouts, designing and running experiments across price points, subscription terms, upfront versus monthly payments and promotional mechanics.
• Use data to understand the impact of pricing decisions on conversion, churn, margin and customer lifetime value.
• Build robust measurement frameworks, including sample sizing and guardrail metrics, to distinguish genuine conversion improvements from margin transfer.
• Partner with Product to develop and price ancillary products, including insurance, damage cover, accessories and additional services.
• Size commercial opportunities, model take-up and margin, and understand the impact of new products on customer behaviour and profitability.
• Work with Finance and Risk to understand the full economic chain, including attachment rates, claims or cost experience, churn and residual value.
• Support Sales and Partnerships on new OEM deals, building commercial models and helping design subscription propositions that work for both Raylo and its partners.
• Own the pricing framework across categories, incorporating customer segmentation, residual value, credit performance and lifetime value.
• Build tools and processes that make pricing decisions faster and more effective, leveraging the existing data and technology stack.
• Work closely with senior leadership and co-founders to identify the next commercial opportunities and drive data-led decision-making.

Your Skills & Experience

• Extensive experience in analytics, commercial strategy, pricing analytics, data science or a related data-focused discipline.
• Strong SQL skills are essential, with the ability to work directly with complex datasets and answer commercial questions independently.
• Python experience is desirable.
• Proven experience using data to influence pricing, profitability, commercial strategy or customer growth.
• Strong understanding of commercial metrics such as conversion, churn, margin, customer lifetime value and unit economics.
• Experience designing and analysing experiments, with a clear understanding of statistical measurement and commercial impact.
• Ability to move between hands-on technical analysis and strategic thinking.
• Strong stakeholder management skills, with the confidence to present recommendations to senior leadership and defend the numbers.
• A curious, analytical and commercially minded approach, with the ownership and drive to make things happen in a fast-paced scale-up environment.

The Benefits

• £120,000-£140,000
• Stock options

How to Apply

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

To Apply for this Job Click Here

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CRM Analyst
London | 35k + Bonus + Benefits
This is an exciting opportunity for a CRM Analyst to join a data-driven organisation undergoing significant digital transformation. You’ll play a key role in shaping customer marketing activity, using data and insights to improve campaign performance, customer engagement, and commercial outcomes.
The Company
They are a well-established consumer-focused organisation with a strong emphasis on innovation, data-led decision making, and customer experience. Investing heavily in digital capabilities, they are building advanced marketing and analytics functions to support continued growth. The business offers a collaborative environment where data professionals can make a visible impact and develop their careers.
The Role
As a CRM Analyst, you will support the delivery and optimisation of targeted CRM campaigns by creating audience selections, analysing campaign performance, and improving data processes.
Responsibilities include:
* Defining and building customer audiences for CRM and digital marketing campaigns
* Using SQL and analytical tools to evaluate campaign effectiveness and provide actionable recommendations
* Creating and maintaining data fields and aggregations to support campaign targeting
* Supporting the optimisation of CRM data and audience segmentation strategies
* Automating reporting processes and enhancing dashboard functionality
* Ensuring data quality, governance, and compliance within customer targeting activities
* Collaborating with marketing, analytics, and wider business stakeholders to deliver successful campaigns
* Identifying opportunities to improve campaign execution and marketing ROI
Your Skills & Experience
* Strong experience using SQL for data extraction, manipulation, and analysis
* Experience supporting CRM, lifecycle marketing, or customer targeting activities
* Ability to analyse large datasets and translate findings into business recommendations
* Knowledge of campaign performance analysis and customer segmentation
* Experience working with reporting tools and dashboards
* Strong problem-solving skills and excellent attention to detail
* Ability to manage multiple priorities in a fast-paced environment
* Strong stakeholder management and communication skills
What They Offer
* Competitive salary
* Performance-related bonus
* Generous pension contribution
* Private healthcare
* Enhanced family leave policies
* Additional wellbeing allowance and wellbeing support
* Comprehensive holiday entitlement
* Ongoing learning and development opportunities
* Clear career progression within a growing analytics and marketing function
How to Apply
If you’re a CRM Analyst with strong SQL and campaign analytics experience and are looking for an opportunity to make a measurable impact, apply today through Harnham.

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