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Data Analyst

London (hybrid, 2 days per week in office) | £50,000 salary
No sponsorship offered now or in the future

This is an opportunity to join a growing data and analytics consultancy where analysis directly shapes commercial decisions. You will work on varied, client facing projects, combining multiple data sources to uncover insight and deliver practical, actionable outcomes. The role offers breadth, autonomy, and exposure to a wide range of industries, making it ideal for someone who enjoys solving open ended business problems with data.

The Company

They are a well established UK data and analytics consultancy that also develops proprietary data and analytics products. Their work combines large scale data provision with analytics, modelling, and insight delivery to help organisations better understand customers and drive performance. The business operates as a solutions led consultancy, partnering closely with clients rather than delivering off the shelf analysis.

The Role

As a Data Analyst, you will sit within a collaborative analytics team working alongside data scientists, industry specialists, and project managers. You will play a key role in translating complex data into clear insight for clients.

Key responsibilities include:

• Working directly with clients to gather requirements and understand business challenges
• Exploring, cleaning, and analysing large and complex datasets from multiple sources
• Delivering insight through analysis, reporting, and dashboards
• Presenting findings and recommendations clearly to non technical stakeholders
• Supporting both project based consultancy work and ongoing managed service delivery
• Taking ownership of analytical outputs in a delivery focused environment

Your Skills and Experience

• Strong commercial experience in a data or analytics role
• Advanced SQL skills, with the ability to work confidently with relational databases
• Experience using Python for data analysis is highly desirable
• Experience building dashboards in Power BI, or similar tools such as Tableau or Qlik
• Confidence working with ambiguous or incomplete data and asking the right questions
• Comfortable presenting insights and recommendations to clients
• Consultancy or client facing experience is highly advantageous

What They Offer

• Salary – £50,000
• Hybrid working, with two days per week in a London office
• Exposure to a wide variety of industries and analytical challenges
• Strong learning opportunities through hands on client work and collaboration with experienced analytics professionals
• Clear scope for progression within a growing analytics team

How to Apply

If you are looking for a client facing Data Analyst role with variety, responsibility, and real impact, please apply to find out more.

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DATA ANALYST
LONDON/HYBRID
UP TO £50,000

This is an opportunity to join a highly respected data and analytics consultancy that combines rich data assets with advanced analytics to solve complex commercial problems. You will work on varied, client-facing projects, helping organisations unlock value from their data while developing your own consulting and technical skill set.

ROLES AND RESPONSIBILITIES:
The Data Analyst will:

• Gather requirements and understanding client business challenges
• Conduct data discovery and exploratory analysis
• Clean, structure, and analyse complex datasets
• Produce insights through reporting, dashboards, and visualisations
• Present findings clearly to both technical and non-technical stakeholders
• Collaborate with project managers, data scientists, and industry specialists
• Support both new project work and ongoing managed service engagements
• Work across a variety of use cases including customer segmentation, revenue analysis, and data integration projects

YOUR SKILLS AND EXPERIENCE:

The ideal candidate will have the following skills and experience:

• Strong commercial experience in a Data Analyst or similar analytics role

• Advanced SQL skills for data manipulation and querying
• Experience with Python for data analysis is highly desirable
• Proficiency in Power BI or similar BI tools such as Tableau or Qlik
• Experience working with large, complex datasets and multiple data sources
• Strong problem-solving and analytical thinking capability
• Confident communication skills with experience presenting to stakeholders
• Ability to work in a client-facing environment and manage ambiguity
• Consultancy or client-facing experience is advantageous but not essential

APPLY BELOW!

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CRO Consultant
Egham, Surrey (hybrid working) | Salary up to £60,000, with flexibility for a senior profile
This is an opportunity to join a specialist experimentation and optimisation consultancy where CRO sits at the heart of everything they do. You will work directly with enterprise clients, owning end to end experimentation programmes and shaping how data driven optimisation is delivered across complex digital estates.
The Company
They are a UK based CRO, experimentation and personalisation technology business with both a proprietary platform and a consulting arm. The organisation partners with large, well known brands across sectors including retail, travel, public sector and entertainment. The culture is collaborative and delivery focused, with a strong emphasis on experimentation, learning and long term client impact.
The Role
You will sit within the consulting team, acting as a trusted CRO partner to your clients and leading experimentation programmes from ideation through to insight and recommendation.
Key responsibilities include:

• Leading CRO ideation and hypothesis development for client programmes
• Designing and planning A B and multivariate tests across web experiences
• Managing experimentation roadmaps and documentation
• Analysing test results and translating findings into clear recommendations
• Producing client facing decks and insight led outputs following experiments
• Running regular client check ins and supporting long term optimisation strategy
• Collaborating with internal product, customer success and consulting teams

Your Skills and Experience

• Strong commercial experience in CRO, experimentation or optimisation
• Proven ability to design, run and analyse A B testing programmes
• Comfortable working with stakeholders and presenting insight clearly
• Experience working in agency, consultancy, vendor or in house environments
• Exposure to experimentation tools such as Webtrends Optimize, VWO or similar
• Confident working independently while contributing to a wider team
• Passion for CRO and improving digital user experience through testing

What They Offer

• Salary up to £60,000, with flexibility for a strong senior profile
• Hybrid working, ideally 2 to 3 days per week onsite in Egham
• Broad client exposure across enterprise level organisations
• High ownership role within a growing consulting team
• Clear progression as the services function continues to scale

How to Apply
If you are a CRO Consultant looking for a client facing role with real ownership and variety, apply now to learn more.

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Marketing Analyst
Swindon (hybrid, 2 to 3 days onsite) | £45,000 to £50,000
This is a newly created Marketing Analyst role within a high growth consumer business that is investing heavily in digital, growth and data. You will take ownership of marketing insight across CRM, customer analytics and acquisition, partnering closely with senior stakeholders to shape how data informs commercial decisions.
The Company
They are a premium consumer retailer operating across eCommerce and physical channels, with a strong brand and a focus on long term quality. The business is scaling rapidly, supported by significant investment in digital and analytics, while maintaining a collaborative and entrepreneurial culture. Data plays an increasingly central role in decision making across the organisation.
The Role
You will sit within the Digital and Growth function, acting as the dedicated Marketing Analyst and working closely with channel leads and senior stakeholders. This is an insight and optimisation focused role rather than pure reporting.
Key responsibilities include:

• Analysing CRM performance across email, SMS and direct mail campaigns
• Supporting customer acquisition and paid media performance analysis
• Building customer segments and audience strategies to improve targeting
• Identifying opportunities to increase customer retention, frequency and lifetime value
• Designing and evaluating experiments, including incrementality and attribution analysis
• Optimising customer lifecycle activity such as welcome and reactivation journeys
• Conducting geographic and campaign level testing to support growth initiatives
• Translating insight into clear, actionable recommendations for marketing teams
• Developing analytical frameworks that improve marketing decision making

The role is weighted towards CRM, customer and lifecycle analytics, with additional exposure to wider digital and acquisition channels.
Your Skills and Experience

• Strong commercial experience in marketing, CRM, customer or digital analytics
• Advanced SQL skills and confidence working with large marketing datasets
• Experience analysing CRM channels such as email, SMS or direct mail
• Understanding of customer segmentation, retention and lifetime value
• Exposure to experimentation, testing or attribution approaches
• Python or R experience is beneficial
• Experience with BI tools such as Power BI is advantageous
• Comfortable working independently and partnering with senior stakeholders
• Clear communicator with a focus on delivering actionable insight

What They Offer

• Salary between £45,000 and £50,000
• Hybrid working with 2 to 3 days per week onsite in Swindon
• High ownership role with strong visibility across the business
• Opportunity to shape how marketing analytics develops as the team grows
• Clear progression as investment in data and analytics continues

How to Apply
If you are a Marketing Analyst looking to step into a high impact role within a growing consumer business, apply now to learn more.

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Senior AI and Machine Learning Lead
Amsterdam | €95,000 to €120,000 plus bonus

This is a senior leadership role for someone who wants to shape how AI and machine learning drive real product outcomes. You will sit at the centre of product and technology, setting the direction for applied AI across multiple teams while remaining close to the technical detail. The role offers the chance to influence strategy, operating models and culture as the organisation moves towards an AI-first approach.

The Company
They are a highly product-led, technology-driven organisation operating at scale in a digital marketplace environment. Data, machine learning and AI are core to how products are built and evolved. The organisation invests heavily in modern data platforms and encourages thoughtful experimentation with emerging technologies. Collaboration between product, engineering and data teams is a key part of how they deliver impact.

The Role

• Lead and develop a team of data scientists embedded within product teams, setting a high bar for technical quality and delivery.
• Define and own the machine learning and AI strategy, aligning it with long-term product and business goals.
• Champion an AI-first mindset, identifying where traditional ML, generative AI or hybrid approaches create the most value.
• Guide the full lifecycle of ML and AI solutions, from experimentation through to robust production systems.
• Drive improvements in MLOps, model evaluation practices, development workflows and coding standards.
• Make informed build versus buy decisions, evaluating vendors and third-party solutions where appropriate.
• Partner closely with product, engineering and business stakeholders to translate opportunities into measurable impact.
• Stay ahead of developments in ML, generative AI and the wider AI landscape, turning trends into actionable direction.

Your Skills and Experience

• Strong commercial experience as a data scientist or machine learning engineer, with deep understanding of core ML and AI concepts.
• Proven ability to lead and grow high-performing data science or ML teams.
• Experience delivering and maintaining large-scale ML systems in production, including monitoring and iteration.
• Solid understanding of modern MLOps practices and data platforms.
• Practical knowledge of generative AI and large language model applications, with clear judgement on where they add value.
• A strategic mindset, able to connect technical decisions to product and business outcomes.
• Confident communicator, comfortable influencing senior stakeholders and making decisions with incomplete information.

What They Offer

• Salary between €95,000 and €120,000 plus a performance-related bonus.
• A senior role with real ownership over AI and ML direction across the organisation.
• The opportunity to work on high-impact, user-facing products at scale.
• A collaborative culture that supports learning, experimentation and career progression.

How to Apply
Apply now to find out more about this Senior AI and Machine Learning Lead opportunity in Amsterdam.

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Data Infrastructure Analyst
Amsterdam | €70,000 to €90,000

This role offers the chance to take hands-on ownership of cloud data infrastructure in a modern Azure environment. You will play a key part in building scalable, automated platforms from the ground up, working closely with engineering and data teams to enable reliable analytics and data products. It is well suited to someone who enjoys combining infrastructure engineering with real business impact.

The Company
They are a technology-driven organisation investing in their Azure data platform to support data-led decision making. Their environment is cloud-first, with a strong focus on automation, security and reliability. Collaboration is central to how teams work, with data, engineering and platform specialists partnering closely. The culture encourages continuous improvement and knowledge sharing.

The Role

• Design, build and maintain Azure data infrastructure using Infrastructure as Code.
• Develop and manage CI/CD pipelines in Azure DevOps to support data and platform deployments.
• Automate infrastructure and operational tasks using PowerShell, Azure CLI and Python where needed.
• Support and optimise Azure services including compute, storage, networking and security components.
• Contribute to monitoring, troubleshooting and performance optimisation across the Azure estate.
• Work with data teams to support platforms such as Databricks and Azure Data Factory.
• Produce clear technical documentation for infrastructure designs and processes.

Your Skills & Experience

• Strong commercial experience with Infrastructure as Code using Bicep and Terraform.
• Hands-on expertise with Azure DevOps pipelines and CI/CD best practices.
• Practical scripting skills with PowerShell and Azure CLI.
• Solid understanding of core Azure services including networking, security and monitoring.
• Experience supporting data platforms and data engineering workloads in Azure.
• Comfortable working collaboratively in cross-functional, agile teams.

What They Offer

• Salary between €70,000 and €90,000 depending on experience.
• The opportunity to shape and improve a growing Azure data platform.
• Exposure to modern cloud and data technologies with room to develop deeper expertise.
• A supportive environment that values quality, learning and technical ownership.

How to Apply
Apply now to explore this Data Infrastructure Analyst opportunity and learn how it could support your next career step.

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Ecommerce Analyst
Banbury, Oxfordshire – 4x a week in office
Up to £55,000

This is a newly created Ecommerce Analyst role offering the opportunity to take real ownership of ecommerce insight within a growing, product-led direct-to-consumer business. You will play a key role in shaping how data is used to drive commercial decisions, with a strong balance between hands-on analysis and influencing stakeholders across the business.

The Company
They are a well-established direct-to-consumer organisation with an ecommerce-first operating model and a strong investment in digital marketing. Products are designed and manufactured in-house, with a growing online customer base and an expanding product portfolio. Data plays a central role in how the business operates, and they are now strengthening their ecommerce analytics capability to support continued growth.

The Role
You will act as the central owner of ecommerce reporting and insight, helping the business better understand performance across trading, acquisition, and customer behaviour. Responsibilities include:

• Owning and centralising ecommerce data into a clear single source of truth.
• Building and maintaining scalable reporting used across commercial teams.
• Analysing trading performance, traffic trends, conversion rates, and customer journeys.
• Evaluating paid media performance across major digital advertising platforms.
• Delivering proactive, actionable insights to support commercial and marketing decisions.
• Working closely with ecommerce, marketing, finance, and technology stakeholders.

Your Skills and Experience

• Strong commercial experience within ecommerce or digital analytics.
• Confidence working with tools such as GA4, SQL, and modern BI platforms.
• Experience analysing acquisition performance, conversion, and customer behaviour.
• Ability to translate complex data into clear, practical insight.
• Comfortable working independently in a fast-paced, collaborative environment.
• A curious, proactive mindset with a desire to make a visible impact.

What They Offer

• The chance to shape a brand-new role with real ownership and influence.
• Exposure to senior stakeholders and clear opportunities for progression.
• A collaborative, people-focused working environment.

How to Apply
If you are an Ecommerce Analyst looking to take ownership of insight in a growing business, apply now to learn more about this opportunity.

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Senior Engagement Analytics Consultant
Hybrid in London 2x a week
Up to £120,000 + bonus

This is a high impact opportunity to join a growing analytics consulting practice at a pivotal stage of its development. You will take a lead role in shaping client engagements, influencing senior stakeholders and helping build a modern, commercially focused analytics advisory capability. The role offers strong visibility, meaningful client ownership and a clear path into practice leadership as the team scales.

The Company
They are a global data and analytics organisation operating at the intersection of financial services, technology and insight. The business works with banks, fintechs and payments organisations to help them make better decisions across risk, growth and customer strategy. Alongside established data products, they are investing heavily in an end-to-end analytics consulting offering focused on delivering tangible commercial outcomes. This consulting practice operates as a true advisory partner, translating complex data into action.

The Role

• Lead end to end delivery of analytics driven consulting engagements from problem definition through to insight and implementation.
• Act as the primary client contact, building trusted relationships with senior stakeholders across financial services.
• Translate complex analytical outputs into clear, compelling commercial recommendations.
• Shape project scope, approach and delivery in collaboration with analytics and data science teams.
• Drive commercial activity including pitches, proposals and contribution to practice growth.
• Work across a range of use cases including credit risk, fraud, customer acquisition, pricing, segmentation, marketing and collections.

Your Skills and Experience

• Strong commercial experience in analytics or data led consulting within financial services, fintech or payments. You must have strong and direct experience working in the financial services space.
• Proven client facing delivery with senior stakeholder management and project leadership responsibility.
• Ability to turn analytical insight into strategic and commercial outcomes.
• Experience across credit risk, fraud, customer lifecycle or customer value analytics.
• Confident communicator, able to engage both technical and non technical audiences.
• Hands on experience working with data or analytical tools such as SQL, Python, modelling or visualisation.
• Background in a high calibre consulting or advisory environment.

What They Offer

• High visibility role with genuine progression into senior leadership as the consulting practice grows.
• Opportunity to work on complex, high value engagements with leading financial services organisations.
• Supportive, inclusive culture with strong investment in learning and development.

How to Apply
Apply now to learn more about this Senior Engagement Manager opportunity and how it could shape the next stage of your analytics consulting career.

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Lead Product Analyst
London – hybrid 3x a week
Up to £100,000 + equity

This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio.

The Company
They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams.

The Role
You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact.

• Lead product analytics for a consumer app, focusing on personalisation and customer relevance
• Use data to determine the right product, message or experience to show each user at the right time
• Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment
• Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement
• Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood
• Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences
• Translate complex analysis into clear commercial recommendations for senior stakeholders

Your Skills and Experience

• Strong experience in product or growth analytics within consumer facing digital products
• Advanced SQL and strong Python skills, with Python central to day to day analysis
• Proven experience with experimentation, AB testing and causal analysis
• Exposure to propensity modelling or recommendation based use cases
• A commercial mindset with the ability to link analysis to business outcomes
• Experience working closely with product and engineering teams in agile environments
• Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms

What They Offer

• Salary up to £100,000
• Equity participation
• Hybrid working with three days per week in the London office
• A highly visible role with real ownership and influence over product direction
• Strong opportunities for growth within a scaling analytics function

How to Apply
Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.

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Senior Marketing Analyst
London – hybrid – 4 per week onsite
Up to £65,000

This is an exciting opportunity to take on a senior, high impact analytics role combining hands on customer and marketing analytics with the chance to shape thinking around measurement and effectiveness. You will work with well known consumer brands, contribute to strategic conversations across a major agency group, and take ownership of complex analytical work that directly influences marketing performance.

The Company
They are a data driven marketing organisation that helps consumer facing brands better understand their audiences and improve campaign performance. Their work brings together data, marketing, and technology to deliver targeted communications, richer customer insights, and measurable commercial outcomes. You will join a collaborative analytics team that partners closely with internal teams and client stakeholders across digital media, customer analysis, and marketing measurement.

The Role
* Lead analytical work across multiple client accounts, helping shape data driven strategies and campaign optimisation.
* Investigate audience behaviour, targeting performance, and customer interactions across digital media activity.
* Analyse large customer and transactional datasets to identify trends, segment VIP customers, and inform next step recommendations.
* Support discussions on marketing measurement, including Marketing Mix Modelling principles, limitations, and methodological considerations, without building models yourself.
* Represent analytics in wider group meetings, helping evaluate effectiveness work and challenge external propositions where needed.
* Collaborate with commercial, product, and media teams to ensure insights are clearly communicated and acted upon.
* Operate with autonomy while contributing to a wider team and mentoring others where appropriate.

Your Skills and Experience
* Strong commercial experience in customer, digital, or marketing analytics.
* Knowledge of Marketing Mix Modelling or econometrics principles, with the ability to discuss methodologies confidently.
* Good understanding of statistical concepts including experimentation design, uncertainty, and interpretation.
* Skilled in SQL and experienced using a business intelligence tool.
* Comfortable working directly with clients and presenting analytical narratives in a clear, engaging way.
* Experience in an agency or consultancy environment is beneficial but not essential.
* Curious, proactive, and confident navigating technical and commercial discussions.

What They Offer
* Exposure to a wide variety of retail, ecommerce, and delivery focused clients.
* The chance to broaden your expertise across digital measurement, customer analytics, and marketing effectiveness.

How to Apply
To be considered for this opportunity, please apply with your CV.

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