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Customer Experience Optimisation Manager
London (Hybrid)
Up to 60k

This is a high impact opportunity to lead a data led customer experience and CRO function within a digitally focused organisation. You will own the optimisation of end to end customer journeys, using experimentation, insight, and innovation to drive measurable commercial outcomes.

The Company
They are a well established, customer centric organisation operating across multiple digital brands and markets. Customer experience sits at the core of their growth strategy, supported by strong investment in data, technology, and experimentation. The business fosters a collaborative environment where cross functional teams work closely to deliver continuous optimisation.

The Role
Be part of CRO and customer experience agenda, driving optimisation across the full digital journey while influencing strategic decision making.

• Own and optimise the end to end digital customer journey with accountability for conversion and revenue performance
• Develop and execute a data led experimentation and CRO roadmap across multiple products and markets
• Use analytics, customer insights, and testing tools to identify opportunities and prioritise high impact improvements
• Deliver and scale AB testing and experimentation programmes across digital platforms
• Collaborate closely with product, UX, engineering, and marketing teams to deliver optimisation initiatives
• Define and track key customer experience and performance metrics, presenting insights to senior stakeholders
• Champion a culture of experimentation, continuous improvement, and customer centricity

Your Skills and Experience

• Commercial experience in customer experience, CRO, or digital product optimisation
• Proven track record of driving measurable impact through experimentation and data led decision making
• Hands-on experience with analytics and testing tools such as Google Analytics, Optimizely, or similar
• Understanding of UX principles, customer journeys, and personalisation strategies
• Experience working cross functionally with stakeholders
• Familiarity with experimentation frameworks and optimisation roadmaps
• Experience within a highly regulated industry would be beneficial

What They Offer

• Performance bonus
• Hybrid working model with flexibility

How to Apply
If you are interested please apply with your CV.

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Director of Data Research

This is an opportunity to lead a data research function at a business that helps investment professionals make data-driven decisions. You will combine strategic leadership with hands-on technical expertise, evaluating new data assets, shaping research initiatives, and building scalable capabilities that influence commercial outcomes.

The Company
They are an innovative data and analytics business providing insights to investment professionals through proprietary research and alternative data. Operating in a high-growth environment, they continuously explore new datasets and methodologies to enhance the quality and value of their products. Their collaborative culture brings together research, data, and technology teams to solve complex business challenges.

The Role

• Lead the data research function and define the strategy for identifying and evaluating new data sources.
• Assess the quality, reliability, and commercial value of datasets to determine whether they are worth purchasing and integrating into products.
• Design and oversee statistical analysis, modelling, and time series research to validate potential data assets.
• Work closely with stakeholders across data, partnerships, and technology teams to develop new research opportunities.
• Drive end-to-end research projects, from hypothesis generation through to evidence-based recommendations.
• Improve data evaluation frameworks, standards, and processes.
• Manage and mentor a small team while fostering technical excellence and continuous improvement.
• Support the adoption of AI and advanced analytical techniques to improve research efficiency and quality.

Your Skills & Experience

• Strong commercial experience in data science, statistics, quantitative research, or a related field.
• Python skills, with experience applying statistical analysis and time series techniques to complex datasets.
• Strong understanding of data quality assessment, feature engineering, and modelling.
• Strong communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
• Experience evaluating new datasets and translating findings into commercial recommendations.
• Ability to lead research projects from concept through to delivery.
• Experience working with alternative data, financial data, market intelligence, or data products is advantageous.

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VP Enterprise Data

In this role you will lead enterprise data, technology, architecture, and AI strategy within a well-established, data-led organisation. Significant investment has already been made in data platforms, AI capabilities, and enterprise systems, creating a strong foundation. The focus now is on bringing teams together, creating alignment, and unlocking greater commercial value from those investments.

The Company
They are an insights and technology business that helps organisations make better decisions through data. A robust data platform is already in place, significant work has been completed around the semantic layer and the business is now entering the next phase of its transformation, focused on connecting data, technology, and customer intelligence more effectively across the organisation.

The Role
As VP Enterprise Data you will create a single vision across Data & Analytics, Engineering, IT, Salesforce, and Architecture.
You will inherit a large multidisciplinary team and be responsible for aligning previously separate functions, accelerating delivery, and ensuring technology investments deliver measurable business outcomes.

• Lead Data & Analytics, Engineering, IT, Salesforce, and Architecture functions.
• Develop and execute the enterprise data, technology, and AI strategy.
• Create alignment across technical, commercial, and operational stakeholders.
• Drive adoption and governance of AI across the organisation.
• Own enterprise architecture standards, data governance, and analytics capabilities.
• Support the delivery of a true 360-degree customer view across the business.
• Improve understanding of customer behaviour, product usage, and commercial performance through data.
• Enable more personalised marketing and more effective sales engagement.
• Support product teams with real-time customer and usage insights.
• Oversee internal data platforms, reporting capabilities, and enterprise systems.
• Make informed build-versus-buy decisions and manage technology roadmaps.
• Deliver quick wins while establishing long-term strategic direction.
• Build trust, accountability, and momentum across multiple functions.

Your Skills & Experience

• Strong leadership experience across some combination of Data, Analytics, Engineering, IT, and Architecture.
• Strong understanding of enterprise data platforms, architecture, analytics, and governance.
• The ability to unite teams around a shared vision and common objectives.
• Experience influencing senior stakeholders and driving organisational change.
• Confidence making decisions and taking ownership of outcomes.
• A hands-on approach and willingness to engage with technical detail when required.
• Strong commercial awareness and the ability to connect technology investments to business value.
• Experience operating successfully in fast-paced and evolving environments.
• The ability to balance strategic thinking with practical delivery.
• Exposure to AI-enabled products, services, or internal AI initiatives and experience applying AI to improve reporting, decision-making, or operational efficiency.

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This is an opportunity to lead a Data Services function covering Business Intelligence, Data Science, Digital Analytics, and Marketing Technology. You will shape strategy, develop teams, and drive the adoption of AI across data services.

The Company
They are a global organisation operating across data, analytics, technology, and digital marketing. Their teams help clients improve decision-making through measurement, reporting, analytics, and data-driven solutions. As the business continues to grow, they are investing further in their data capability and leadership team.

The Role

• Define the strategy and roadmap for the Data Services function.
• Lead teams across Business Intelligence, Data Science, Digital Analytics, and Marketing Technology.
• Drive the use of AI within data services workflows and delivery.
• Establish standards and best practices across analytics, reporting, and measurement.
• Support revenue growth through client development and new business opportunities.
• Partner with senior stakeholders to align data initiatives with business goals.
• Develop and mentor practice leads and senior specialists.
• Present data strategies and recommendations to senior client stakeholders.
• Contribute to the organisation’s presence within the data and analytics market.

Your Skills & Experience

• Leadership experience across multiple data disciplines.
• Strong understanding of analytics, measurement, BI, and data services.
• Ability to lead technical teams and support delivery quality.
• Experience implementing AI-enabled processes or transformation programmes.
• Commercial awareness and experience supporting business growth.
• Strong communication and stakeholder management skills.
• Ability to build and develop high-performing teams.

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This is an exciting opportunity to join a fast-growing analytics and research business operating at the intersection of sport, media, and technology. Working with industry-leading datasets and commercial insights, you will help shape understanding of one of the most dynamic areas of the sports industry while building your profile as a subject matter expert.

The Company
They are a specialist research and analytics organisation supporting decision-making across the media, entertainment, and sports sectors. Their work informs some of the most influential organisations in the industry, providing data-led insights into market trends, commercial strategy, and emerging opportunities. With a collaborative and intellectually curious culture, they offer an environment where analytical talent can thrive and develop.

The Role
As a Senior Analyst within the Sports Media Rights team, you will play a key role in expanding and maintaining a leading media rights intelligence product.
Responsibilities include:

• Managing and enhancing databases covering global sports media rights agreements
• Building and maintaining Excel-based models to support market analysis and forecasting
• Conducting research into sports broadcasting, streaming, and media rights trends
• Producing high-quality analytical reports, insights, and thought leadership content
• Identifying and interpreting developments across the sports media landscape
• Supporting commercial teams with client-facing analysis and industry expertise
• Contributing to bespoke consulting and research projects for a range of stakeholders

Your Skills & Experience

• Strong commercial experience analysing sports media rights, sports business, broadcasting, or related markets
• Excellent Excel skills, including data manipulation, modelling, and analytical problem-solving
• Understanding of how sports media rights deals are structured, negotiated, and valued
• Experience working with large datasets and transforming information into actionable insights
• Strong research and analytical capabilities with excellent attention to detail
• Ability to communicate complex findings clearly through written reports and presentations
• Experience within a sports rights holder, broadcaster, agency, consultancy, research firm, or similar environment
• Exposure to SQL, Python, or other analytical tools would be beneficial but is not essential

What They Offer

• Ongoing professional development and industry exposure
• Opportunity to work closely with recognised experts across sport and media
• Clear progression opportunities within a growing business
• Collaborative and supportive working culture

How to Apply
If you have a strong background in sports media rights and advanced Excel skills and are looking to take the next step in your analytics career, apply today to discuss the opportunity in more detail.

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Customer Analyst
London (Hybrid, 3 days per week in office) | £50,000 | 12-Month Fixed-Term Contract

This is an excellent opportunity for a Customer Analyst to join a growing organisation and play a key role in shaping customer and commercial decision-making. You’ll work across customer, retail, and financial data, delivering insights that directly influence strategy, performance, and customer experience.

The Company
They are a customer-focused business that places data at the centre of decision-making. With an established presence and a strong focus on growth, they are continuing to invest in analytics capabilities to better understand customer behaviour and commercial performance. You will join a collaborative environment where data is valued and insights have genuine impact across the organisation.

The Role
As a Customer Analyst, you will turn complex customer and commercial data into clear, actionable insights.
Key responsibilities include:
* Producing analysis and recommendations to support key commercial and customer-focused decisions.
* Building and maintaining KPI dashboards and reporting using data visualisation tools.
* Analysing customer behaviour, purchasing trends, retention metrics, and customer satisfaction.
* Delivering regular customer insight reporting on product performance, purchasing patterns, and seasonal trends.
* Supporting store and channel performance analysis to identify growth opportunities.
* Defining customer segments and measuring the effectiveness of customer engagement campaigns.
* Conducting A/B test analysis and campaign performance reporting.
* Partnering with stakeholders across Customer Experience, Retail, Finance, and Analytics teams to drive data-led decision making.
* Supporting forecasting, performance measurement, and commercial modelling initiatives.

Your Skills & Experience
* Strong commercial experience in a Customer Analyst, Customer Insights Analyst, CRM Analyst, or similar analytics role.
* Experience working with large customer, retail, e-commerce, or transactional datasets.
* Strong SQL capability.
* Experience using data visualisation tools such as Power BI, Tableau, or Looker.
* Ability to communicate insights effectively to both technical and non-technical stakeholders.
* Experience with customer segmentation, customer lifecycle analysis, campaign measurement, and reporting.
* Exposure to Snowflake or similar cloud-based data platforms is beneficial.
* A curious and proactive approach to problem-solving.

How to Apply
If you’re a Customer Analyst looking for a highly visible role where your insights will directly influence business decisions, apply today.

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VP Enterprise Data & Architecture
London | up to £180,000 + Benefits
This is a rare opportunity to shape and lead an enterprise-wide data, architecture, and AI strategy within a growing, data-driven organisation. Sitting at executive leadership level, you will drive the development of scalable data capabilities, modern technology architecture, and AI adoption programmes that directly influence business performance and decision-making.
The Company
They are a well-established organisation that places data at the centre of business strategy and operational excellence. With continued investment in technology, analytics, and AI, they are focused on building a scalable and future-ready data ecosystem. The business offers a collaborative environment where senior leaders work closely together to drive innovation, efficiency, and growth. This role has significant visibility and influence across the organisation.
The Role

• Lead the enterprise data, analytics, systems architecture, AI enablement, and core IT functions.
• Define and execute the enterprise data strategy to improve data accessibility, quality, governance, and business value.
• Build and develop high-performing multidisciplinary teams across data engineering, analytics, architecture, and technology.
• Own the enterprise data platform and architecture roadmap, ensuring scalability, reliability, and cost efficiency.
• Establish data governance frameworks, standards, and best practices across the organisation.
• Partner with executive stakeholders to align data and technology initiatives with strategic business objectives.
• Drive enterprise AI adoption, governance, and capability development, ensuring measurable business impact.
• Lead decisions around technology investments, vendor management, and build versus buy strategies.
• Deliver reporting and analytics capabilities that support faster and more effective business decision-making.
• Ensure seamless integration across enterprise systems, platforms, and business functions.

Your Skills & Experience

• Strong leadership experience across enterprise data, analytics, architecture, and technology functions.
• Proven ability to develop and execute large-scale data and digital transformation strategies.
• Experience leading cloud-based data platforms and modern data architectures.
• Deep understanding of data governance, data quality, and enterprise-wide analytics.
• Strong knowledge of AI adoption, enablement, governance, and operationalisation within a business environment.
• Ability to influence and engage executive stakeholders, translating technical strategy into commercial outcomes.
• Experience building, scaling, and leading high-performing technical teams.
• Strong commercial awareness with the ability to prioritise initiatives based on business value and ROI.
• Broad technical expertise across data engineering, enterprise architecture, systems integration, and IT operations.

What They Offer

• Competitive executive-level salary and comprehensive benefits package.
• Opportunity to shape the future of enterprise data, architecture, and AI at a strategic level.
• High visibility with senior leadership and direct impact on business performance.
• A collaborative and forward-thinking culture with continued investment in technology and innovation.
• Clear scope to build teams, influence strategy, and deliver transformational change.
• Hybrid working arrangement with regular collaboration in the London office.

How to Apply
If you are an experienced data and technology leader looking to drive enterprise-wide transformation through data, analytics, architecture, and AI, please apply with your CV to Felix Igu.

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Data Analyst 12 Month FTC
London (hybrid) | up to £50,000
This is an excellent opportunity for a commercially focused Data Analyst to join a growing retail business and play a key role in shaping customer, retail, and commercial strategy. Working across multiple teams, you will turn complex datasets into actionable insights that influence decision-making, customer experience, and business performance.
The Company
They are a well-established consumer-focused organisation with a strong presence across retail and digital channels. Data sits at the heart of their decision-making process, and they are continuing to invest in their analytics capability to support future growth. The business offers a collaborative environment where data professionals can have genuine visibility and impact across senior stakeholders. You will work closely with commercial, customer experience, finance, and analytics teams to help drive business performance.
The Role
You will be responsible for delivering customer, retail, and commercial insights that support strategic and operational decision-making.
Key responsibilities include:

• Analysing customer behaviour, retail performance, and commercial trends to generate actionable insights.
• Developing and maintaining KPI reporting, dashboards, and performance metrics using data visualisation tools.
• Producing regular reporting on customer purchasing patterns, product performance, and commercial outcomes.
• Supporting location and expansion decisions through store performance analysis and market opportunity assessment.
• Measuring customer satisfaction and identifying opportunities to improve customer experience and retention.
• Building customer segments and supporting targeted customer engagement initiatives.
• Evaluating campaign performance, including customer segmentation and A/B testing analysis.
• Partnering with senior stakeholders to provide data-driven recommendations and support forecasting activities.
• Conducting ad hoc analysis to answer key business questions and identify growth opportunities.

Your Skills & Experience

• Strong commercial experience in a Data Analyst, Commercial Analyst, Customer Analyst, or similar analytics role.
• Experience working with large transactional and customer datasets.
• Strong SQL skills and experience working with modern data platforms such as Snowflake.
• Experience creating dashboards and reports using data visualisation tools such as Power BI, Tableau, or Looker.
• Strong customer analytics, segmentation, and behavioural analysis experience.
• Ability to translate data into clear business recommendations for non-technical stakeholders.
• Experience working across multiple stakeholder groups in a fast-paced commercial environment.
• Strong analytical, problem-solving, and communication skills.
• Retail, e-commerce, or consumer-focused industry experience is highly beneficial.

What They Offer

• Salary of £50,000
• Competitive benefits package.
• Exposure to senior business stakeholders and strategic projects.
• Opportunity to influence customer, retail, and commercial decision-making.
• Collaborative working environment with strong opportunities for professional development and career progression.
• Hybrid working flexibility.

How to Apply
If you are a Data Analyst with strong SQL, customer analytics, and commercial insight experience, please apply today to learn more about this opportunity.

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This is an opportunity for a Data Analyst to join a retail fashion buisness delivering insight across retail, customer and commercial functions. You’ll work with stakeholders across the organisation, using data to support decision-making and performance improvement.

The Company
They are a consumer-focused business with an established retail presence and an expanding data function. Data is central to how they understand customer behaviour, measure performance and support growth. The role sits within a collaborative team and offers exposure to a range of business areas.

The Role
You will:

• Analyse customer, retail and finance data to support business decisions.
• Provide insights to support new store openings and expansion plans.
• Measure store performance, customer satisfaction and operational KPIs.
• Assess the impact of retail initiatives, events and pop-up activity.
• Analyse sales cannibalisation across stores and channels.
• Support forecasting and predictive modelling projects.
• Produce reporting on customer behaviour, purchasing patterns and product trends.
• Identify opportunities to improve customer retention, loyalty and growth.
• Measure the performance of customer engagement campaigns across multiple markets.
• Build customer segments and analyse targeting strategies.
• Evaluate A/B test results and campaign outcomes.
• Develop and maintain dashboards and reporting solutions.
• Present insights and recommendations to senior stakeholders.

Your Skills & Experience

• Strong advanced Excel and SQL as well as experience with Power BI or Tableau.
• Experience analysing customer, commercial, marketing or retail data.
• Ability to work with large datasets and generate actionable insights and present that back to the team.
• Experience building dashboards and management reporting.
• Strong communication and stakeholder management skills.
• Experience with customer segmentation, campaign analysis or loyalty programmes is beneficial

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Retail & Customer Experience Data Analyst

Luxury Fashion Brand | £50,000 | Hybrid (West London) | 12-Month FTC

Join a fast-growing premium retail brand undergoing significant UK and international expansion. We’re looking for a commercially minded Data Analyst to help drive decisions across retail operations, customer experience, and customer insights.

Working closely with senior stakeholders, you’ll analyse customer, retail and commercial performance data to uncover actionable insights that improve customer retention, store performance, and overall business growth.

What You’ll Be Doing

• Deliver analysis on customer behaviour, retail performance and commercial trends

• Support new store openings and expansion decisions through data-led recommendations

• Build dashboards and reports using SQL, Excel and BI tools

• Analyse customer journeys, purchasing trends, retention and loyalty performance

• Measure the success of campaigns, customer engagement initiatives and retail events

• Present clear, actionable insights to senior stakeholders across the business

• Create customer segments and identify opportunities for growth and personalisation

What We’re Looking For

• Experience in a Data Analyst, Customer Analyst, Commercial Analyst or Insight Analyst role

• Strong SQL and Excel skills

• Experience using Power BI, Tableau or similar visualisation tools

• Proven ability to turn data into meaningful business recommendations

• Strong stakeholder management and communication skills

• A commercial mindset with an interest in customer behaviour and retail performance

• Comfortable working in a fast-paced, evolving environment

What’s Different About This Role?

This is not a pure data science position. The successful candidate will be someone who can bridge the gap between analytics and commercial decision-making, translating complex data into practical recommendations that drive business performance.

Salary: Up to £50,000
Location: Hybrid, West London (3 days per week)
Contract: 12-Month Fixed-Term Contract

For more information or to apply, please get in touch.

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