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DATA ANALYST

UP TO £60,000 + BONUS
LONDON – 2 DAYS A WEEK IN OFFICE

Please note: you must have full UK right to work and be able to commute to central London twice per week.

ABOUT THE BUSINESS

This company is a leading global online food ordering marketplace, connecting millions of consumers with a wide network of restaurant partners. In the UK, the platform has become one of the most recognised names in delivery, facilitating tens of thousands of daily orders across hundreds of cuisines. The business provides end-to-end logistics support for its partners, from delivery operations to pricing, promotions, and market analytics, helping restaurants optimise performance and drive sustainable growth.

THE TEAM

You’ll join the Customer & Market Analytics team, part of a wider 25-person Analytics function led by the Director of Analytics. The team is highly data-driven, supporting commercial and strategic decision-making through advanced analytics and insight generation. Reporting into an established Manager within the Customer Analytics function, you’ll work alongside a group of experienced analysts and senior managers specialising in pricing, promotions, and market dynamics. Collaboration, curiosity, and analytical rigour are core to the team’s culture.

THE ROLE

This role sits at the heart of market intelligence, providing analytical insight into how pricing, competition, and consumer behaviour influence performance.

You’ll combine data from multiple sources to uncover trends, evaluate competitor activity, and help shape commercial decisions across pricing, promotions, and strategic planning.

Key responsibilities include:

• Analysing market, pricing, and competitor data to identify trends, opportunities, and performance drivers.
• Using SQL (BigQuery) to query large datasets, integrating both internal and third-party data sources.
• Producing story-led insights that translate complex findings into actionable recommendations.
• Supporting Proof of Concept (POC) analytical projects – testing, validating, and scaling new data approaches or models.
• Evaluating competitor promotions and market events (e.g. “How did a new campaign at X company affect our share?”).
• Contributing to monthly market reporting, summarising pricing dynamics, competitor moves, and wider market shifts.
• Partnering with cross-functional stakeholders to ensure insights drive tangible commercial and strategic outcomes.

SKILLS & EXPERIENCE REQUIRED

• Experience in data analytics or commercial insights, ideally within tech, e-commerce, food delivery, or retail.
• Strong SQL skills (experience with BigQuery preferred).
• Skilled in data storytelling – able to translate numbers into clear commercial narratives.
• Strong curiosity about market trends, competitor behaviour, and consumer dynamics.
• Confident juggling multiple projects in a fast-paced, data-driven environment.
• Based in or near London (preferred) for market familiarity and access to local competitor intelligence.

WHY APPLY?

• Shape strategic market insights for one of the UK’s most recognised digital brands.
• Work on diverse analytical projects with real commercial impact.
• Collaborate with an experienced, data-led analytics team that values curiosity and innovation.

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SENIOR CUSTOMER ANALYST – LOYALTY

UP TO £70,000 + BONUS
LONDON – 2 DAYS A WEEK IN OFFICE

Please note: you must have full UK right to work and be able to commute to central London twice per week.

ABOUT THE BUSINESS

This company is a leading global online food ordering marketplace, connecting millions of consumers with a vast network of restaurant partners. In the UK, the platform has grown into a household name, facilitating thousands of orders daily across a diverse range of cuisines. Beyond food delivery, the business supports restaurants with data-driven insights, pricing optimisation, and promotional strategies, ensuring sustainable partner growth and improved customer experiences.

THE TEAM

You’ll join the Customer Analytics & Loyalty function – a highly data-led team sitting within the wider Analytics organisation. Reporting into a Senior Manager, you’ll collaborate closely with experts across customer analytics, pricing, and promotions. The wider analytics team is led by the Director of Analytics, with a strong track record in leveraging insight to shape customer-centric decisions. The environment is collaborative, fast-moving, and intellectually curious, perfect for someone who thrives at the intersection of strategy, analytics, and customer experience.

THE ROLE

This is a strategic and proposition-led position, focused on evolving and delivering the loyalty vision for one of the UK’s most recognisable digital brands.

You’ll define how the business rewards and retains customers, transforming its current offering into a best-in-class loyalty proposition that drives engagement, repeat purchases, and customer lifetime value.

Key responsibilities include:

• Developing and owning the loyalty strategy, evolving the existing proposition into a competitive, tiered rewards programme.
• Building and managing a Single Customer View (SCV) to enable personalised, data-driven engagement.
• Using customer insight and data to recommend and deliver loyalty improvements across tiers, rewards, and experience.
• Partnering cross-functionally with marketing, data, CRM, and global teams to deliver and measure loyalty initiatives.
• Leading projects such as loyalty redesigns, customer value modelling, and competitor benchmarking.
• Feeding insights and success frameworks into global markets for adoption and scaling.

SKILLS & EXPERIENCE REQUIRED

• Proven experience in loyalty, CRM, or customer engagement strategy.
• Strong analytical foundation, with hands-on SQL skills and experience with dashboarding tools (e.g. Looker, Tableau, or Power BI).
• Strategic thinker with the ability to interpret data, shape propositions, and influence senior stakeholders.
• Experience working cross-functionally and/or in international environments.
• Excellent communication and presentation skills.

Desirable:

• Experience with Python for statistical analysis.
• Background in A/B testing design and evaluation.
• Familiarity with customer lifetime value modelling and loyalty analytics frameworks.

WHY APPLY?

• Play a leading role in shaping the loyalty strategy of a globally recognised tech brand.
• Work with rich customer data to design programmes that drive real behaviour change.
• Join a collaborative, data-led team that values innovation and experimentation.

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Job Title: Product Owner

Location: Eindhoven, The Netherlands

Employment Type: Full-time

About the Company:

This innovative company is transforming the healthcare experience through cutting-edge digital solutions. Their mission is to empower healthcare providers and patients with tools that make care more accessible, seamless, and efficient. They are seeking a talented Product Owner to join their team and drive the development of their SaaS solutions.

Role Overview:

The Product Owner will play a central role in the product development process, acting as a bridge between business needs, user experience, and technical implementation. This individual will define and prioritize the product backlog, collaborate closely with cross-functional teams, and ensure that the solutions deliver exceptional value to healthcare customers.

Key Responsibilities:

• Define, prioritize, and maintain the product backlog in alignment with company goals and user needs.
• Collaborate with stakeholders, including healthcare professionals, UX designers, and development teams, to translate business requirements into actionable features.
• Drive product development from concept to delivery, ensuring high-quality releases.
• Continuously gather user feedback and analytics to inform product decisions and improvements.
• Act as the voice of the customer within the team, ensuring that solutions meet both user and business objectives.

Requirements:

• Proven experience as a Product Owner or similar role, preferably in SaaS environments.
• Strong understanding of Agile methodologies and experience working in Scrum teams.
• Excellent communication and stakeholder management skills.
• Passion for improving the healthcare experience and understanding of healthcare workflows is a plus.
• Ability to balance strategic thinking with hands-on execution.

Preferred:

• Experience with healthcare technology platforms or patient-facing applications.
• Familiarity with metrics-driven product management and data analysis.

What the Company Offers:

• A dynamic and collaborative work environment in Eindhoven.
• The opportunity to make a real impact on the healthcare experience.
• Competitive salary and benefits package.
• Personal and professional growth in a fast-paced, innovative company.

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Role: VP of Engineering
Salary: £140,000 + Equity
Location: London (5 days a week in office with some flexibility)

About the Company

Our client is a fast-growing SaaS business transforming property management through intelligent automation. Its flagship AI assistant autonomously handles up to 80% of administrative workflows – from compliance and maintenance to lettings and tenant support.

Built for the UK’s regulation-driven property market, the platform helps agencies enhance capacity, reduce admin costs, and eliminate missed communications – while ensuring tenants live in safe, compliant homes with responsive support.

The Role

We’re partnering with our client to appoint a VP of Engineering – a hands-on technical leader who will shape the company’s engineering vision and build scalable AI-powered solutions.

This role offers the opportunity to lead a talented team, influence product direction, and play a key part in the company’s next stage of growth. It’s ideal for a senior engineer or tech leader with a strong product mindset and experience in AI, SaaS, or automation platforms.

Key Responsibilities

• Lead the technical development of AI-driven property management solutions
• Write, review, and optimise code while maintaining engineering best practices
• Manage and mentor a team of software and AI engineers
• Define and evolve the technical architecture and roadmap
• Collaborate with product and design teams to deliver impactful features quickly
• Drive innovation across automation, AI integration, and system scalability
• Ensure reliability, performance, and security across all products
• Contribute to strategic planning and long-term technology direction

What You’ll Bring

• Strong academic background – ideally a First-Class degree in Computer Science, Engineering, or related field
• 5+ years of proven experience in software engineering within AI, SaaS, or automation platforms
• Deep technical expertise (e.g., Python, Node.js, AI/ML integration, cloud infrastructure)
• Previous experience in a leadership role within a startup or high-growth tech company
• Excellent problem-solving, communication, and organisational skills
• A passion for building products that solve real-world problems and elevate user experience

What’s on Offer

• Competitive salary and significant equity package – share in the success you help create
• A pivotal role in shaping engineering culture, architecture, and processes
• Work alongside a talented and mission-driven team in a collaborative environment
• The opportunity to redefine property management through cutting-edge AI

If you’re an ambitious technical leader ready to drive innovation and scale, we’d love to hear from you. Apply today to learn more about this opportunity.

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SEO and AI Specialist (Hybrid – Cambridge / London)

Salary: Up to £35,000 + benefits
Working pattern: Hybrid – typically 2 days/week in office, with occasional travel for team collaboration.

About the Role

We’re looking for a curious, hands-on SEO and AI Specialist to join a forward-thinking marketing team within a well-established professional services firm. You’ll play a key role in driving digital growth by enhancing technical SEO performance and exploring how AI is reshaping search visibility and content discovery.

You’ll work closely with senior digital and SEO leads to execute strategy, conduct technical audits, monitor performance, and experiment with AI-driven approaches to search optimisation.

This is an exciting opportunity to contribute ideas, implement meaningful changes, and see the direct impact of your work in a business that values innovation and measurable growth.

Key Responsibilities

• Conduct technical SEO audits and deliver actionable optimisation improvements.

• Support and execute on-page SEO strategies using tools such as Screaming Frog, SEMrush, Ahrefs, GA4, and GSC.

• Identify new growth opportunities through data analysis and performance insights.

• Leverage AI and emerging technologies to enhance search and content strategies.

• Monitor organic performance and contribute recommendations to improve visibility and lead generation.

About You

• Around 2+ years of hands-on SEO experience (agency or in-house).

• Confident with technical SEO tools and data interpretation.

• Curious and proactive – always exploring what’s next in search and AI.

• Strong communicator who enjoys collaborating across marketing and content teams.

• Experience in B2B lead generation or professional services a plus (but not essential).

• Ideal for agency candidates seeking their first in-house move.

Why Apply

• Join a digitally led, growth-focused marketing team within an established business.

• Real autonomy, trust, and flexibility in how you work.

• Opportunity to explore the intersection of AI and SEO in a fast-evolving landscape.

• Clear progression and professional development support.

Find out more and apply via the link below.
(Hybrid role based between Cambridge and London.)

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Senior Data Scientist – End-to-End Machine Learning & Behavioural Data#

This organisation are seeking an experienced Senior Data Scientist to join their dynamic team. This role focuses on end-to-end productionising of machine learning models and leveraging behavioural data to drive actionable insights and innovative solutions.

The ideal candidate has a strong background in applied machine learning, including hands-on experience with Natural Language Processing (NLP), and is comfortable taking projects from concept through to production. They thrive in a collaborative environment, translating complex data into meaningful business outcomes and working closely with cross-functional teams to implement scalable solutions.

Key Responsibilities:

• Develop, deploy, and maintain end-to-end machine learning models, ensuring robust production performance.
• Analyse and derive insights from behavioural data to inform business decisions.
• Apply NLP techniques to extract value from text-based datasets.
• Collaborate with engineering and product teams to integrate models into live systems.
• Continuously monitor, evaluate, and optimise models to maintain accuracy, efficiency, and scalability.

Qualifications & Experience:

• Proven experience in end-to-end machine learning development and model deployment.
• Strong background in behavioural data analysis.
• Hands-on experience with NLP, including text preprocessing, embeddings, and relevant model architectures.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Familiarity with cloud-based ML infrastructure and MLOps best practices.
• Excellent problem-solving skills and the ability to communicate complex findings to non-technical stakeholders.

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Senior Customer Analyst – Loyalty
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst focused on loyalty and customer engagement to join a leading global online marketplace. This strategic role uses data and analytics to shape loyalty initiatives that drive retention, repeat behaviour, and long-term customer value.

What You’ll Do:

• Analyse customer behaviour across loyalty programmes to identify opportunities for engagement and retention.

• Build and manage the Single Customer View (SCV) to unify customer data and enable personalised experiences.

• Recommend improvements to loyalty propositions, including tiers, rewards, and experience enhancements.

• Partner with marketing, data, and global teams to deliver and measure loyalty initiatives.

• Use advanced analytics and storytelling to influence loyalty strategy and maximise customer lifetime value.

Example Projects:

• Redesign loyalty programmes to increase engagement and repeat purchases.

• Develop SCV integrating purchase, engagement, and loyalty data.

• Model customer value to understand the impact of loyalty participation.

• Benchmark competitor loyalty schemes and propose differentiators.

• Share insights globally to replicate successful loyalty initiatives.

Requirements:

• Advanced SQL and experience with a dashboarding tool (Tableau/Looker).

• Strong understanding of loyalty programmes, CRM strategy, and customer engagement.

• Experience in loyalty analytics in e-commerce, retail, or telco environments.

• Analytical skills to interpret data and strategic mindset to design propositions.

• Confident working cross-functionally and internationally, with excellent stakeholder management.

Desirable:

• Python for statistical analysis.

• Experience designing and running A/B tests.

Application Process:

1. SQL test on Kaggle – 2 live-coding questions, interactive.

2. Skills-based interview – 45 minutes (30 minutes questions, 15 minutes candidate questions).

3. Case study/data analysis presentation – face-to-face in the office.

Find out more and apply via the link below.

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Senior Customer Analyst – CDM
Location: London
Salary: Up to £70,000 + discretionary bonus
Benefits: Pension up to 12% (8% employee contribution)

We are looking for a Senior Customer Analyst to join a leading global online marketplace. This role focuses on understanding, optimising, and growing the customer base through data-driven insights, particularly around loyalty, retention, and acquisition.

What You’ll Do:

• Analyse customer behaviour across the lifecycle using SQL and modern analytics tools.

• Deliver actionable insights through dashboards and storytelling (Tableau/Looker).

• Run and evaluate A/B and multivariate tests to inform marketing and growth strategies.

• Support growth targets by identifying opportunities to move customers through lifecycle stages.

• Collaborate with marketing and senior stakeholders to influence customer strategy.

What We’re Looking For:

• Advanced SQL and experience with a dashboarding tool.

• Proven experience with customer analytics projects: single customer view, segmentation, churn, acquisition, LTV.

• Desirable: Python for stats analysis, experience designing and running A/B tests.

• Experience in e-commerce or tech environments with modern data stacks is a plus.

Find out more and apply via the link below.

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Data Product Manager – AI / ML Platform (Fully Remote, UK)

Salary: £100,000 + benefits
Location: Fully Remote (occasional meet-ups in London)
Type: Permanent | Individual Contributor

We’re partnering with a market-leading AI-driven search intelligence company helping global enterprise brands optimise paid search performance and gain competitive insight through large-scale data and machine learning.

As a Data Product Manager, you’ll take ownership of the company’s data platform and ML ecosystem – shaping how massive-scale datasets (hundreds of millions of data points) power predictive models, data quality, and AI-driven insights.

The Opportunity

You’ll drive the roadmap and vision for a modern data platform underpinning core AI products, collaborating closely with data engineering and data science teams. This is a hands-on product role – ideal for someone who thrives at the intersection of data, ML, and product strategy.

Focus areas:

• Data integrity, scalability, and cost efficiency

• Managing complex data workflows and ML pipelines

• Ensuring model quality and performance

• Partnering cross-functionally across engineering, science, and product

Tech Stack: Spark, Cassandra, Redshift
AI / ML Use Cases: Predictive click models, data quality optimization, GenAI search applications

What You’ll Bring

• 5-10 years’ experience overall, with 3+ years in data engineering or data science

• Proven experience managing large-scale data platforms or pipelines

• Strong understanding of ML workflows and data architecture

• Product mindset – comfortable owning discovery, roadmaps, and delivery

• Excellent communicator – able to present technical concepts clearly to non-technical audiences

• Experience in SaaS, digital, or tech product environments

(Please note: This role is not suited to project managers or senior people managers – it’s a highly collaborative IC role.)

Why Apply?

You’ll join a collaborative, data-focused product team that values ownership, transparency, and smart execution. You’ll have a genuine opportunity to influence the evolution of an AI platform used by leading brands worldwide.

Next Steps:
If you’re a technically credible Product Manager passionate about data and ML – and ready to own a data platform roadmap in a high-impact environment – we’d love to hear from you.

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Lead Marketing Analyst

Location: Fully remote (UK-based)
Salary: Up to £80k + 10% bonus

About the Business

A long-established, consumer-focused digital business backed by private equity. The company is undergoing a significant transformation under new leadership, with a clear three-pillar growth strategy centred around:

1. Expanding and strengthening its core digital products.

2. Enhancing customer experience to drive engagement and loyalty.

3. Building stronger community connections and marketing reach.

The business is in the process of modernising its approach to data and analytics, with major work underway on evolving its subscription model and diversifying revenue streams.

The Role

This is a newly created position within the central Analytics, Data, and Engineering function, designed to add an extra layer of leadership within the marketing analytics space.

You’ll take full ownership of the marketing analytics function, line-managing one Senior Analyst, and act as the go-to expert for marketing insight and reporting. You’ll work closely with senior stakeholders across marketing, commercial, and product to ensure data-driven decision-making, presenting confidently at executive and board level.

What You’ll Be Doing

• Leading a small analytics team delivering insights to guide marketing targeting, spend, and impact.

• Owning full-funnel, cross-platform customer analysis (web analytics, attribution partners, CDPs).

• Improving campaign decision-making through attribution, incrementality, and media mix modelling.

• Partnering with Data Science to build predictive models (LTV, churn).

• Owning and refining marketing forecast models for budget and performance planning.

• Using statistical analysis to optimise testing methodologies and outcomes.

• Developing best practice, transparent reporting, and actionable insights.

• Managing stakeholders across the business to improve marketing decisions.

• Building strong cross-functional relationships to promote a data-driven culture.

• Working with Data Engineering to manage data requirements and ensure quality deliverables.

Candidate Profile

Background

• Ideally from gaming, but open to e-commerce, ad-tech, or subscription/dating apps.

• Must have a strong B2C focus.

Experience

• Proven track record in marketing analytics.

• Comfortable leading and mentoring others.

• Strong stakeholder management and presentation skills.

• Line management experience (desirable but not essential).

Technical Skills

• SQL (essential).

• Power BI / Looker.

• Data visualisation expertise (Snowflake desirable).

• Knowledge of attribution, forecasting, incrementality testing, MMM, LTV/churn modelling (advantageous).

Package & Benefits

• ~£80k base salary + 10% bonus.

• Private healthcare (including dental).

• 6% pension contribution.

• Life insurance + employee assistance programme.

• Enhanced family leave.

• 25 days holiday + bank holidays (buy/sell option).

• Flexible working hours.

Interview Process

1. 1st stage: Zoom interview with senior marketing leadership.

2. 2nd stage: Take-home task + panel presentation.

3. 3rd stage: Final interview with executive team.

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Data Analyst (Digital & Marketing Focus)

London – Hybrid (2 days in office, Tues & Thurs – Elephant & Castle)
Up to £50,000 + Benefits

The Company

Our client is a specialist digital and marketing analytics consultancy, established in 2016 and now recognised as a trusted partner for major asset managers and digital-first businesses. They help clients transform complex data into actionable insights that improve sales performance and optimise marketing ROI.

With a close-knit team of around 10, they combine cutting-edge analytics with strategic expertise. This is a fantastic opportunity to join a growing consultancy where your work will have real visibility and impact.

The Role

They are seeking a mid-level Data Analyst with strong technical skills and commercial awareness. This is a client-facing position where you’ll be responsible not just for the numbers, but for turning data into clear, strategic recommendations.

You’ll work directly with senior stakeholders, gain exposure to high-profile clients, and take on varied projects across digital and marketing analytics.

Responsibilities

• Extract, join, and transform datasets from multiple platforms (SQL, GA, marketing tools).

• Build and maintain dashboards and reports (Looker Studio, Tableau or equivalent).

• Apply statistical methods across attribution, MMM, LTV, churn, propensity and clustering models.

• Present insights and recommendations confidently to clients via Zoom and face-to-face.

• Support client strategy by identifying opportunities to optimise spend and improve ROI.

Candidate Profile

• 2-4 years’ experience in analytics (digital, marketing or consultancy background desirable).

• Strong SQL and Python skills, with a good grounding in statistics.

• Experience with Google Analytics or Adobe Analytics.

• Hands-on dashboarding experience (Looker Studio, Tableau or similar).

• Comfortable working directly with clients and explaining insights to non-technical stakeholders.

• 2:1 degree or above in a STEM or Social Sciences subject (or equivalent experience).

Package & Benefits

• Salary up to £50,000 (depending on experience).

• Hybrid working – 2 days in the office (Tues & Thurs, Elephant & Castle).

• 25 days holiday, state pension, profit share scheme.

• Direct exposure to senior leadership, with clear progression opportunities.

Interview Process

1. Introductory interview with senior team members.

2. Technical assessment (SQL + GA data integration & dashboard creation).

3. Final stage with leadership and chance to meet the wider team.

Find out more and apply via the link below.

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Senior Analytics Specialist – Digital Agency – £45-55k – x2 days a week in London

I’m working with a fast-growing digital agency that partners with leading brands across hospitality, travel, food & drink and entertainment. They’re now looking for an experienced Senior Analytics Specialist to join their performance team.

This is a great opportunity for someone who loves diving into data, setting up robust tracking frameworks, and turning insights into clear, actionable recommendations for clients.

The role:

• Lead on analytics setup and management, including GTM containers and GA4

• Implement analytics accounts, dashboards and reporting structures

• Analyse customer behaviour and campaign performance across multiple data sources

• Communicate insights clearly to internal teams and clients

• Line manage a remote analytics specialist and collaborate across departments

The ideal candidate:

• 5+ years’ analytics experience (agency background desirable)

• Hands-on experience with GA4, GTM and related tools

• Strong analytical mindset with excellent communication skills

• Confident presenting data insights to clients and stakeholders

Benefits:

• UK-remote working, with travel to London when required

• 25 days’ holiday + wellbeing budget

• Great agency culture with socials and team events

If you’re a proactive analytics professional looking for your next step in a creative, fast-moving environment, I’d love to hear from you.

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