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HEAD OF DATA
£140,000
LONDON

This is a senior opportunity to take ownership of data strategy within a fast-growing, product-led technology business. You’ll have the chance to bring structure to a fragmented data landscape, make visible impact quickly, and build out a data function with real autonomy.

THE COMPANY

Our client is a global technology business operating in the employee experience and benefits space. Following a recent merger, the organisation is entering a new phase of growth and scale. This role has been created to help unify data across the business and enable more consistent, strategic use of data at all levels.

THE ROLE

* Own and define the company-wide data strategy, moving from a reactive to a scalable and well-governed data platform
* Take ownership of the data environment, improving data quality, consistency and architecture across multiple sources
* Review and evolve the existing tech stack (AWS, SQL, Power BI), identifying areas for improvement
* Design and maintain data pipelines, including ingestion and transformation, to support analytics and reporting
* Manage and mentor two data engineers initially, with scope to grow the team
* Act as a thought leader, working closely with BI, product and non-technical stakeholders
* Help shape the business’s approach to AI, focusing on practical internal use cases to improve data accessibility

YOUR SKILLS AND EXPERIENCE:

* Strong background in data engineering and data platform ownership
* Experience working in complex, multi-source data environments
* Hands-on experience with cloud-based data stacks (AWS, SQL, BI tools)
* Confident stakeholder management across technical and non-technical teams
* Previous management or mentoring experience preferred
* Exposure to semantic layers or AI-led data accessibility tools is advantageous

SALARY AND BENEFITS

* Up to £140,000 base salary
* Competitive benefits package
* Hybrid working model (3 days in office)
* Clear scope for progression as the function grows

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the ‘Apply’ link.

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Web Analyst
Up to 46k
London (Hybrid)

This is a hands-on implementation role where you will own digital tracking across web and app platforms. It stands out for its focus on delivery rather than reporting, giving you the opportunity to build and optimise robust tracking solutions while developing in high-demand areas such as app analytics.

The Company
They are a large international retail organisation with a multi-brand portfolio and a strong digital presence across Europe. Their central digital function brings together specialists across UX, content, and online performance, working collaboratively to drive scalable solutions. The analytics and tracking capability operates as an internal agency, supporting multiple brands across different markets. They offer a fast-paced, collaborative environment where technical ownership is encouraged.

The Role

• Own end-to-end tag implementation using Google Tag Manager across web platforms
• Work closely with stakeholders to define tracking requirements and deliver solutions independently
• Build and maintain data layers to support accurate and scalable tracking
• Implement, test and debug tags, triggers and variables to ensure data quality
• Support mobile app tracking initiatives, with exposure to tools such as GA4 and Firebase
• Partner with product, UX and development teams to embed tracking into digital journeys
• Ensure all implementations are compliant with GDPR and cookie consent requirements
• Act as a confident point of contact for non-technical stakeholders, translating requirements into delivery

Your Skills & Experience

• Strong hands-on experience implementing tracking using Google Tag Manager and GA4
• Proven ability to set up tagging directly, rather than purely analysing or reporting
• Solid understanding of data layers, tag configuration and QA processes
• Experience working within GDPR and cookie consent frameworks
• Confident communication skills, with the ability to work across technical and non-technical teams
• Experience in an agency or fast-paced, cross-functional environment is highly beneficial
• Interest in developing skills in mobile app tracking and new analytics tools

What They Offer

• Competitive salary and bonus potential
• Hybrid working model
• Opportunity to gain experience in app tracking and emerging analytics capabilities
• Collaborative team with strong exposure across multiple brands and markets
• Ongoing learning and development within a growing digital function
• Additional benefits including wellbeing support and retail discounts

How to Apply
Apply now to take ownership of digital tracking delivery in a role focused on implementation and technical impact.

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Ecommerce Analyst
Up to 55k
Oxfordshire

This is a newly created Ecommerce Analyst role where you will play a central part in shaping how data is used to drive commercial decisions. With a strong focus on insight rather than pure reporting, this role offers the opportunity to take ownership, influence stakeholders, and make a visible impact across a growing ecommerce function.

The Company
We are a fast growing direct to consumer business with a strong ecommerce focus and a highly data driven culture. We design and deliver our products through digital first channels, supported by significant investment in paid media and performance marketing. As we continue to expand into new product areas, we are strengthening our analytical capability to support smarter, faster decision making. Collaboration across ecommerce, marketing, finance and technology sits at the heart of how we operate.

The Role

• Take ownership of ecommerce reporting, analysis, and insight generation across the business.
• Build and maintain scalable reporting that provides a single source of truth for trading performance.
• Analyse traffic, conversion, customer journeys, and overall ecommerce KPIs.
• Evaluate paid media performance and attribution across key digital channels.
• Identify opportunities to improve acquisition efficiency and commercial outcomes.
• Deliver proactive, actionable insights to stakeholders across ecommerce, marketing, finance, and technology.

Your Skills & Experience

• Strong commercial experience in ecommerce or digital analytics.
• Confidence working with complex datasets to generate insight rather than purely reporting.
• Hands on experience with tools such as GA4, SQL, BigQuery, Looker or similar analytics platforms.
• Strong understanding of acquisition performance, conversion behaviour, and customer journeys.
• Ability to communicate clearly and influence non technical stakeholders.
• A proactive, insight led mindset with a focus on driving business impact.

What We Offer

• Competitive salary and benefits package.
• Hybrid working with flexibility between home and office.
• A newly created role with genuine ownership and visibility.
• Exposure to senior stakeholders and cross functional decision making.
• Clear opportunity to shape and develop ecommerce analytics capability as the business grows.

How to Apply
Apply now to learn more about this Ecommerce Analyst opportunity and how you can make a real impact.

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Senior Analyst
UK Based – Remote
Up to 90k

This is a high-impact Senior Data Analyst role where you will sit at the centre of commercial decision-making. You will work on complex, ambiguous business problems and partner closely with senior stakeholders to shape strategy through insight. If you enjoy translating challenging briefs into clear, actionable analysis and influencing outcomes across a business, this role offers strong visibility and ownership.

The Company
They are a fast-growing, data-led organisation that places analytics at the core of decision-making. With a strong focus on customer behaviour, product performance, and commercial growth, they are investing heavily in their data capability. The business fosters a collaborative, high-performing culture where analysts are trusted to challenge thinking and drive measurable impact. You will join a team that values curiosity, proactivity, and stakeholder engagement.

The Role
You will work across multiple business areas to turn open-ended questions into meaningful insight and commercial recommendations. This role requires strong technical capability alongside a highly consultative approach.

• Analyse customer behaviour, retention, churn, and lifecycle performance
• Translate ambiguous business questions into structured analytical approaches
• Partner with Product, Growth, and Commercial teams to influence decision-making
• Build dashboards, reports, and deep-dive analysis to support strategy
• Identify trends, risks, and new commercial opportunities through data
• Support experimentation and performance measurement initiatives
• Present insights clearly to both technical and non-technical stakeholders
• Proactively challenge briefs and shape analytical direction with stakeholders

Your Skills & Experience

• Strong SQL skills and advanced analytical capability
• Commercially minded with a proactive approach to problem-solving
• Experience working with ambiguous requests and shaping analysis independently
• Highly stakeholder-focused, with the ability to challenge and influence effectively
• Experience analysing customer behaviour, retention, or lifecycle performance
• Confident communicator who can translate data into clear business insight
• Collaborative and adaptable, with a focus on delivering outcomes

What They Offer

• Salary up to £90,000
• Fully remote UK working with flexible arrangements
• Private healthcare and additional wellbeing benefits
• Income protection and long-term financial security options
• Enhanced holiday allowance with tenure-based increases
• Strong career progression within a growing data function

How to Apply
If you are a commercially driven Senior Data Analyst looking to work on high-impact problems and influence business strategy, apply now to learn more.

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Digital Data Analyst
Up to 48k
London (Hybrid)

This is an opportunity to join a growing digital function where data sits at the heart of trading decisions. You will transform digital trading questions into actionable insights, shaping how performance is measured and optimised across the funnel. This role stands out for its blend of hands on analytics, stakeholder influence, and commercial impact within a modern data environment.

The Company
They are a well established organisation operating within the ecommerce and retail space, with a strong focus on digital growth and customer experience. Data is central to their strategy, and they continue to invest in tools, platforms, and talent to enhance decision making. The business has a collaborative culture where analytics partners closely with commercial and digital teams. They offer a supportive environment that values curiosity, ownership, and continuous improvement.

The Role
You will work at the intersection of digital trading and analytics, ensuring that data is translated into meaningful insights that drive performance.

* Turning digital trading questions into clear analytical frameworks and insight led recommendations
* Analysing funnel performance to optimise conversion, engagement, and customer journeys
* Partnering with stakeholders across trading, marketing, and product to influence decision making
* Using GA4 and GTM to track, measure, and enhance digital performance
* Building dashboards and reports in Power BI to communicate insights effectively
* Developing semantic models and leveraging DAX to support scalable reporting and analytics
* Working closely with engineering teams to brief requirements and ensure accurate data capture

Your Skills and Experience
* Strong commercial experience within digital analytics, ecommerce, or retail environments
* Hands on experience with GA4 and Google Tag Manager
* Advanced Power BI capability, including semantic modelling and DAX
* Ability to translate complex data into clear, actionable insights
* Experience working with stakeholders and influencing decisions across multiple teams
* Understanding of digital performance metrics and funnel optimisation
* Comfortable briefing technical teams and ensuring sound data implementation

What They Offer
* Hybrid working model
* Opportunity to shape digital analytics in a growing team
* Exposure to senior stakeholders and strategic decision making
* Ongoing development within a data driven organisation

How to Apply
If you are interested in this Digital Data Analyst role, please apply with your CV to discuss further.

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Product Analyst
London (Hybrid)
Up to 65k

This is an opportunity to join a growing digital product business where data plays a critical role in shaping product direction. We are investing heavily in analytics to improve feature performance, scale experimentation, and build better on device experiences used by millions of people every month.

The Company
We are a B2B2C digital product business that builds on device experiences for mobile network operators. Our tools make it easier to manage, measure and monetise the device experience at scale, helping partners drive engagement, advertising revenue and brand affinity. Our products are used by millions of users globally and generate billions of impressions, creating a rich and complex data environment.

The Role
You will join our Product Analytics team, working closely with product and engineering to improve how our products perform and evolve. This is a hands on role for someone who enjoys getting deep into the data, spotting opportunities, and influencing product decisions.

You will take ownership of end to end product analysis, helping us improve feature quality, scale experimentation, and make faster, better informed product decisions through data.

Key responsibilities include:

• Conducting deep dive analysis into product performance, user behaviour and feature usage
• Identifying anomalies, diagnosing issues and understanding what is driving changes in metrics
• Designing, analysing and scaling experimentation across key product areas
• Evaluating A/B tests and clearly communicating outcomes and recommendations
• Partnering with product teams to inform roadmap decisions and feature enhancements

Your Skills and Experience

• Strong product analytics background within a digital or consumer facing product environment
• Advanced SQL skills and experience using Looker or similar BI tools
• Proven experience with experimentation and A/B testing methodologies
• Python for analysis is highly desirable
• Exposure to dbt is beneficial but not essential
• Confident communicator, able to translate complex analysis into clear insights

What We Offer

• Hybrid working with a London based office
• The opportunity to work on high scale products used by millions of users
• Access to large volumes of data and meaningful experimentation
• Clear scope to influence product quality, performance and growth

How to Apply
Apply now to find out more about this Product Analyst role and how it could support your next career move.

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SENIOR CREDIT RISK STRATEGY ANALYST – FINTECH
£80,000
LONDON

This FinTech have been through significant growth in the past few years and are looking to continue on this journey. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in developing their lending strategies. This role is an opportunity for someone to be part of a successful company which is continuing to grow whilst driving impact in your work at the forefront of the market.

THE ROLE

• Developing and driving lending strategies across the business, across both acquisitions and exisiting customers
• Work across a range of areas including pricing, profitability, affordability and broader lending decisions to add growth and commercial improvements across the business
• Analysing wider portfolio performance to drive innovation and forecast future developments
• Integrating CRA and wider customer data to enhance business performance

YOUR SKILLS AND EXPERIENCE:

• Essential to have experience within consumer lending
• Strong experience in developing and leading implementation of credit risk strategies is essential
• SQL or Python experience is essential
• Experience working with SME or business lending is highly desirable

SALARY AND BENEFITS

• Up to £80,000 base salary
• Bonus
• Private medical care
• Pension scheme

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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Title: Senior AI Engineer

Location: Remote, United States

Compensation: Up to $240,000 + Equity

We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.

This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.

What You’ll Do

• Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
• Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
• Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
• Analyze production behavior, identify failure modes, and drive improvements based on data
• Make key architectural decisions across model infrastructure, tooling, and workflows
• Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
• Lead best practices for building reliable, observable, and cost-efficient AI systems

Requirements

• 6+ years of software engineering experience, including 3+ years working on ML or AI systems
• Proven experience owning and deploying production LLM systems
• Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
• Experience designing evaluation systems and improving models through quantitative analysis
• Strong Python skills, with solid software engineering fundamentals
• Experience making architectural decisions that influence team or org direction
• Strong understanding of production systems, including reliability, observability, and cost tradeoffs
• Ability to break down ambiguous problems and operate with a high degree of ownership
• Clear communication skills and experience working cross-functionally

Nice to Have

• Experience in regulated domains such as compliance or security
• Familiarity with data platforms or analytics tooling
• Experience with orchestration frameworks (e.g., Temporal, Airflow)
• Exposure to LLM evaluation platforms or tooling
• Contributions to open source, research, or technical communities

If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.

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Title: Research Engineer, Data

Location: USA Remote

Compensation: Up to $400k + Equity

We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.

This is a high-impact, research-meets-engineering role focused on the data that powers advanced AI systems. You’ll own how models learn, designing datasets, running experiments, and building data pipelines that directly shape model capabilities across a wide range of applications.

What You’ll Do

• Design multimodal, multitask datasets to unlock new model capabilities
• Run controlled experiments to understand how data impacts model performance
• Build and scale pipelines for synthetic data generation, filtering, and quality control
• Define evaluation frameworks and benchmarks to measure real-world model improvement
• Partner with cross-functional teams to translate product goals into data strategies

Requirements

• 4+ years of experience in machine learning, ideally with a data-centric focus
• Experience working with large multimodal datasets and generative models
• Strong intuition for how data quality and composition impact model behavior
• Experience across the full ML lifecycle, from data to training to evaluation
• Proficiency with ML frameworks such as PyTorch or JAX
• Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
• Strong interest in advancing next-generation AI systems

Nice to Have

• Experience with synthetic data generation or data curation at scale
• Background working on multimodal or video-based models
• Exposure to evaluation and benchmarking for generative systems

If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.

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Tech Lead Manager, Integration

Bay Area (Hybrid)
Base: Up to $300,000 + Equity + Benefits

About the Company (Confidential)

We’re working with a high-growth, venture-backed AI SaaS company transforming how enterprises operate through intelligent systems and real-time data infrastructure.

The company is scaling rapidly, has strong product-market fit, and is tackling complex challenges around data orchestration, integrations, and operational intelligence at enterprise scale.

Why This Role Matters

This is a mission-critical leadership role responsible for building and scaling the systems that power integrations across the platform.

You’ll operate in a true player-coach capacity-leading a team while remaining deeply embedded in architecture and development. If you’re looking for a role where you can own systems end-to-end, influence technical direction, and build a high-performing team, this is it.

What You’ll Be Doing

Lead Through Building

• Architect and develop scalable integration infrastructure (APIs, webhooks, data pipelines)
• Drive reliability and performance for near real-time data synchronization
• Write production code, review PRs, and set technical standards across the team
• Own architectural decisions for distributed systems and data flow

Lead Through People

• Manage, mentor, and grow a team of engineers
• Build a strong engineering culture rooted in ownership and accountability
• Drive hiring and scaling efforts for the team
• Partner closely with Product and Engineering leadership on roadmap and execution

What We’re Looking For

• 8+ years of experience building scalable backend or distributed systems
• 2+ years as a Tech Lead or Engineering Manager with direct reports
• Strong background in integration systems (APIs, ETL pipelines, webhooks, iPaaS)
• Experience with modern backend stacks (TypeScript preferred; Python or Ruby a plus)
• Deep understanding of cloud infrastructure, data systems, and system design
• Proven ability to balance hands-on execution with team leadership

What Makes You Stand Out

• You enjoy being close to the code while leading others
• You’ve built systems that operate at scale with high reliability
• You’ve thrived in fast-paced, high-growth environments
• You bring strong technical judgement and a collaborative leadership style

What You’ll Get

• Top-of-market compensation (up to $300K base + meaningful equity)
• Opportunity to own critical infrastructure at a scaling company
• High visibility with leadership and real influence on technical direction
• A strong engineering culture with a focus on quality and impact

Apply

If you’re a hands-on engineering leader ready to build and scale critical systems while developing top talent, we’d love to hear from you

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Marketing Analyst (CRM & Customer Analytics)
Swindon (Hybrid – up to 3 days in office)
£45,000-£50,000

We’re hiring a Marketing Analyst to join a growing team, focusing on CRM, customer analytics, and campaign performance.

This is a highly commercial role where you’ll work closely with CRM and Product teams, using data to understand customer behaviour, optimise campaigns, and drive better outcomes.

The role:

• Analyse CRM and customer data to support segmentation and targeting
• Evaluate campaign performance and provide actionable insights
• Identify trends across marketing channels and customer behaviour
• Support A/B testing and experimentation (approx. 30% of role)
• Collaborate with stakeholders to influence marketing and product decisions

What we’re looking for:

• 2-3 year’s experience in marketing, CRM, or customer analytics
• Strong SQL skills (essential)
• Experience with segmentation, CLV, churn, or campaign analysis
• Exposure to A/B testing / experimentation
• Strong communication skills-able to turn data into clear insights
• Python or R is a bonus
• Retail or consumer-facing background is advantageous

BENEFITS

The successful candidate will receive a salary of £45,000-£50,000, alongside a competitive benefits package. This includes hybrid working (up to 3 days in office), strong development opportunities, and the chance to work in a data-driven team focused on customer insight and marketing performance.

HOW TO APPLY

Please register your interest by sending your CV to Keji Adebari via the Apply link on this page!

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Senior Data Analyst
London (Hybrid)
Up to 80k

This is a high-impact analytics role where you will shape commercial strategy across international markets. You will move beyond standard reporting to deliver meaningful insights that influence senior decision-making, with clear ownership of projects and the opportunity to work with a wide range of stakeholders.

The Company
They are a well-established, consumer-focused organisation operating at scale across multiple markets. With a strong customer base and a growing analytics capability, they are investing in data to drive smarter commercial decisions. The business has access to a rich set of untapped data and is focused on translating insight into practical outcomes. This is an environment that values curiosity, initiative, and clear communication.

The Role
You will take ownership of customer analytics and commercial insight projects, partnering closely with senior leaders across the business.

• Deliver customer segmentation and behavioural analysis to inform strategy
• Analyse churn, retention, loyalty, and customer lifetime value to drive growth
• Evaluate marketing and campaign performance, including ROI and optimisation opportunities
• Identify trends in customer behaviour and recommend targeted actions
• Work with large and complex datasets, bringing together multiple data sources
• Present clear insights and recommendations to stakeholders including MDs and Directors
• Explore new data opportunities such as location, device, and customer service data
• Lead short-term insight projects that deliver tangible business value

Your Skills and Experience

• Strong experience in customer analytics within a consumer/retail or subscription business
• Advanced SQL skills, including querying large datasets and joining multiple sources
• Experience using Python or R for analysis and modelling
• Strong commercial mindset with the ability to turn data into actionable insight
• Experience analysing churn, retention, loyalty, and marketing performance
• Confident communicator, comfortable working with senior stakeholders
• Proactive and self-sufficient, with a focus on delivering practical solutions

What They Offer

• Hybrid working model based in London
• Exposure to senior stakeholders and strategic projects
• Opportunity to shape the analytics function and influence business direction
• Long-term opportunities for progression and potential mentoring responsibilities

Please apply with your CV.

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