• Own marketing data feeds: Manage and optimise datasets from CRM systems, loyalty programs, social, paid media, and more.
• Drive insights: Build dashboards and run ad-hoc analysis to unlock trends, track performance and improve campaign ROI.
• Be a key connector: Partner with marketing, tech, and agency teams to ensure reporting alignment, accuracy, and strategic value.
• Champion improvement: Leverage automation tools and A/B testing to evolve data processes and marketing effectiveness.
• Support strategic innovation: Enable data-led decision-making that enhances the customer journey and maximises marketing ROI.

• Strong experience in marketing analytics across channels like CRM, loyalty, social media, performance marketing, and paid media.
• Proficiency working with large datasets and delivering business impact through insight.
• Strong communicator – able to influence both technical and non-technical stakeholders.
• Data visualisation know-how (e.g. Tableau, Power BI), and ideally some familiarity with tools like Salesforce and Python/R.
• A curious, collaborative mindset aligned to values of integrity, inclusion, teamwork, and continuous improvement.

• Be part of a major transformation in one of the UK’s most recognisable organisations.
• Work in a purpose-led, inclusive and innovation-driven environment.
• Competitive benefits and the opportunity to work on data that truly makes a difference – for people, performance, and planet.

🛬 Ready to take off?

If you’re excited by the idea of helping a major organisation deliver world-class marketing through data, we’d love to hear from you. Apply now and help shape the future of travel with insights that reach millions.

This isn’t just another strategy job. This is a chance to work directly with experienced operators, ex-investors and technologists to build out the next-generation GTM consultancy. You’ll be working with high-growth, PE-backed businesses solving real problems around marketing performance, commercial effectiveness, and product strategy. You’ll also gain early exposure to equity through an EMI scheme—because they want builders, not just joiners.

Our client is a boutique growth consultancy using a proprietary tech stack to decode what’s really happening “under the bonnet” of portfolio company performance. Their clients include leading mid-market PE funds and their portfolio businesses across B2B and B2C sectors. With a team of 10+ and serious momentum, they’re growing fast, and they’re hiring people who can grow with them.

• Own strategic workstreams across GTM, channel, product and customer strategy

• Analyse data from CRMs, web analytics and sales platforms (SQL, Python, Tableau)

• Collaborate with clients and project leads to develop actionable insights

• Present findings and recommendations, not just reports

• Contribute to the firm’s proprietary tech tools and long-term business building

• 2–4 years in strategy consulting, commercial analytics or PE-related roles

• Fluent in SQL and/or Python, and visualisation tools (Tableau preferred)

• Experience in segmentation, marketing analytics, or GTM planning

• Comfortable with ambiguity and complexity (can spot the ‘so what’)

• Ambitious, team-oriented and excited by the idea of helping build something new

An innovative group crafting unique spaces where play and technology come together. Their focus is on creating memorable moments through reimagined leisure.

We’re seeking a sharp, strategic Senior Data Analyst to join our client. You will turn data into powerful stories that drive decision-making. Partnering with teams across cross-functional stakeholders, i.e., marketing, product, to uncover insights that shape this company’s future.

Key attributes of the suitable Senior Data Analyst include:

• Experience of working in customer, marketing & loyalty analytics, with evidence of producing actionable insights to stakeholders
• Proficiency with the use of SQL
• Experience of using data visualisation tools such as PowerBI, to create compelling dashboards

You won’t just be crunching numbers—you’ll be driving change. From improving accessibility services and tracking real-time customer sentiment to predicting operational bottlenecks, your work will directly influence how thousands of people experience the service environment every day.

• Deliver monthly and ad hoc reports using Power BI, R or Python, and Excel
• Lead on high-impact projects like Key Driver Analysis and Special Assistance Survey redesign
• Help implement a new Voice of the Customer platform—using AI, verbatim survey text, and social sentiment to surface actionable insights
• Present your findings to senior stakeholders—including executives and board-level leaders
• Apply statistical techniques (regression, correlation, hypothesis testing) to uncover patterns and opportunities

• 3+ years’ experience in market research or data analysis
• Skilled in customer satisfaction survey analysis (quant and text)
• Proficient in Power BI, R or Python
• Strong communication skills—able to explain data to non-technical audiences
• Organised, curious, and comfortable working independently

• A 50/50 balance of structured reporting and exploratory insight work
• Regular exposure to high-level strategic discussions
• Flexibility, autonomy, and a supportive, insight-driven culture
• The chance to make your mark in a complex, high-impact service environment

🚀

If you’re ready to turn insight into action and help shape a smarter, more customer-centric future, we’d love to hear from you.

• Lead the Clienteling platform strategy and enhancements — helping frontline teams deliver more personalized customer experiences.
• Manage the end-to-end implementation of a new Content Management System, enabling richer, more dynamic content delivery.
• Shape and drive the overall Marketing Technology roadmap aligned to customer-centric goals.
• Oversee research, selection, deployment, and optimization of CRM, CMS, and marketing tools.
• Collaborate across Marketing, Digital, IT, and Legal teams to ensure seamless technology integration.
• Leverage data and insights to measure platform success and identify opportunities.
• Ensure compliance with GDPR and data protection standards.
• Provide training and support to maximize tech adoption across the business.
• Stay on the pulse of emerging marketing tech trends.

• 4+ years’ experience in Marketing Technology, CRM, Digital Marketing, or related fields.
• Proven experience managing or optimizing Clienteling platforms (eg Tulip, Endear, Salesfloor, OneShop, BSPK, Mad Mobile Concierge) and/or CMS systems.
• Strong project management and cross-functional stakeholder skills.
• Technical know-how in platforms like Salesforce Marketing Cloud, HubSpot, CDPs, and CMS tools.
• Analytical mindset — able to turn customer data into actionable strategies.
• Clear communicator with experience influencing senior leaders.
• Deep understanding of customer journeys and personalization strategies.
• Knowledgeable about GDPR and privacy compliance.

• Degree in Technology, Marketing, Business, or related areas.
• Experience within luxury retail, fashion, e-commerce, or consumer goods industries.
• Hands-on work with Clienteling technology or major CMS platforms is a strong plus.
• Strong data analytics understanding

This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in finance, retail, private equity, the public sector, etc.

As the Manager (Data Science), you will lead a team of data scientists and analysts to develop data-driven solutions that drive business decisions and strategic initiatives.

Overseeing the end-to-end data science lifecycle, from scoping out client needs to deploying ML models.

Key attributes of the suitable Manager (Data Science) include:

• At least 3+ years of commercial data science experience
• Experience within consulting, especially in sectors like Financial Services, Retail, Tech, Public Sector, etc.
• Strong communication skills with experience in dealing with both technical and non-technical stakeholders

This firm is a strategic analytics consultancy that combines AI, data science, and commercial insight. They specialise in developing advanced analytics solutions for clients in industries such as finance, retail, private equity, public sector, etc.

As the Senior Manager (Data Science), you will lead a team of data scientists and analysts to develop data-driven solutions that drive business decisions and strategic initiatives.

This role will be heavy on the client-facing side, where you will oversee the end-to-end data science lifecycle, from scoping out client needs to deploying ML models.

Key attributes of the suitable Senior Manager (Data Science) include:

• At least 5+ years of commercial data science experience
• Experience within consulting, especially in sectors like Financial Services, Retail, Tech, Public Sector, etc.
• Strong communication skills with experience in dealing with both technical and non-technical stakeholders

This retailer offers a wide range of items, blending style with functionality through major brand partnerships.

The Data Governance Manager will be essential in developing and implementing global data governance standards across the company, ensuring that data used for insights, reporting, and decision-making remains accurate, reliable, and consistent.

Important qualities for the ideal Data Governance Manager are:

• Extensive experience in a Data Governance position, preferably in a multinational company.
• A track record of successfully implementing data governance frameworks, standards, and processes that drive tangible business outcomes.
• Exceptional skills in managing stakeholders and the ability to influence and communicate effectively with both technical and non-technical teams.

A large retail brand with a strong digital and physical presence, serving millions of customers each year.

You will be key in analysing customer data, identifying trends, and providing strategic recommendations. Your insights will directly influence marketing strategies, customer engagement, and overall business growth.

Key attributes of the suitable Senior Customer Insight Analyst include:

• Strong experience in customer analytics, segmentation, and behavioural insights.
• Proficiency with tools such as SQL and Excel, Python (desirable).
• Ability to work cross-functionally and communicate insights effectively to both technical and non-technical stakeholders.

A media company with multiple TV Channels and a streaming service, that generates millions of viewers a year.

You will guide a top-tier team, designing sophisticated ML/data models, and extracting key insights to drive strategic decisions across the business.

Key attributes of the suitable Lead Data Scientist include:

• Experience managing either projects or a team
• Proficiency with the use of tools such as Python etc. with proven ML experience
• Ability to work cross-functionally with a variety of stakeholders