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Product Analyst
Up to £85,000 + Bonus
Hybrid – London (2x days per week)

We are looking for a skilled Product Analyst to join a fast-growing membership platform with a large and expanding user base. The platform provides a range of benefits and services to a diverse group of professionals, supported by a strong growth strategy and backing from investors.

Responsibilities:

Partner with product and business teams to uncover user behaviour, pain points, and opportunities.
Design and measure experiments to inform product strategy.
Build dashboards and self-serve data tools for quick access to insights.
Conduct deep-dive analyses to support strategic initiatives and provide actionable recommendations.
Maintain a central insights hub with documented reports and metric definitions.

Skills & Experience:

Proficiency in SQL and Python; experience with dbt and visualization tools (Lightdash/Looker).
Broad product analytics/data science experience in consumer tech.
Strong stakeholder engagement and storytelling skills.

Send your CV to register your interest. Please note we cannot offer sponsorship for this role

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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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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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Head of Data Engineering

Location: West Midlands
Hybrid Policy: 3 days per week in the office (flexible on which days)
Salary: £120,000 – £130,000 + £7,500 car allowance + exceptional bonus & benefits

An established, financial services group is on the lookout for a Head of Data Engineering to lead their data platform transformation – a critical migration from legacy systems (SQL Server) to modern Azure cloud technologies.

You’ll oversee a 40-person team of engineers (across the UK and offshore), guide delivery of critical regulatory and treasury projects, and work closely with senior leaders to ensure smooth delivery and long-term modernization. This is a hands-on leadership role – ideal for someone who thrives in both strategy and delivery.

Ideal Candidate:

• Proven leadership of large data engineering teams (UK and offshore)

• Deep expertise in SQL Server, and experience migrating to Azure cloud

• Experience managing third-party partners/vendors

• Ability to stay hands-on to mentor teams on technical delivery

• Background in the banking / financial services sector

• Strategic mindset with a delivery-focused leadership style

Tech Environment:

• Azure Data Stack (Synapse, Databricks, Azure SQL, Power BI)

• SQL, Python

• Legacy systems primarily in SQL Server

Interview Process:

• Initial 30-minute informal converdation

• 60-minute technical/competency interview with Engineering Managers

• Final 90 minute session with senior leadership (CDO, CTO, CIO)
  

• All applicants will undergo standard pre-employment checks (financial, DBS, references)

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Account Director, Customer Success

£90,000-£100,000 base + strong commission structure (OTE ~25-30%)
London – Hybrid (3 days in office, incl. Mondays)

A high-growth, insight-led technology business is looking for a Account Director, Customer Success to join their expanding commercial team.

Working at the intersection of customer intelligence and AI-driven analytics, the company partners with major enterprise brands to help unlock value from qualitative data – across customer experience, brand insight, and audience research.

This role sits at the heart of client strategy and commercial growth, focused on delivering long-term value while identifying new revenue opportunities through upsells, renewals, and strategic expansion.

What You’ll Be Doing

• Own the commercial success of a portfolio of key enterprise accounts

• Identify and develop upsell, cross-sell and renewal opportunities

• Support client retention by aligning insights with strategic business goals

• Partner with account teams to deliver on client objectives and usage growth

• Lead QBRs and key stakeholder engagements, including economic buyers

• Track and report usage, churn, NPS, and account health metrics internally

What You’ll Bring

• 6-12 years’ experience in Customer Success, Strategic Accounts or Client Services

• Background in SaaS, insights, CX, or agency-side roles preferred

• Strong commercial acumen and ability to identify and nurture sales opportunities

• Confidence engaging with senior client stakeholders and navigating complex orgs

• Experience working across long-term enterprise contracts

• Familiarity with methodologies like SPIN or MEDDICC is a bonus

Why Apply?

• Senior-level role with commercial ownership across global accounts

• Competitive base salary (£90-100k) plus high-earning commission potential (~25-30% bonus)

• Collaborative team culture with strong leadership and a clear growth trajectory

• Hybrid working (3 days in a modern Central London office, incl. Mondays)

• 24 days holiday, pension, cycle-to-work scheme

• Opportunity to work with leading household-name clients across sectors

Interview Process

1. Introductory chat with senior leadership – informal CV walkthrough and fit

2. Second stage with team lead – competency and scenario-based discussion

3. Final stage – Account planning exercise and stakeholder engagement simulation

If you’re a commercially minded operator with a passion for client success and business growth, this is an exciting opportunity to join a high-performing team at a pivotal stage of scale.

Find out more and apply via the link below.

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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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