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Digital Analyst

London (Hybrid – 3x Days a Week in Office)

£35,000-£40,000

The Company

A globally recognised premium lifestyle brand with an established international presence, operating across multiple product categories and markets, is seeking a Digital Analyst to join their team. The Digital Commerce team sits within the wider Business Planning & Analytics function, supporting digital performance across EMEA and LATAM, covering 74 markets. The team works across the full digital customer journey: from a customer landing on the website through to conversion. In the role you’ll be using & analysing data to improve customer experience, digital performance and marketing effectiveness. This is a small, collaborative analytics function with a strong focus on data storytelling, self-service analytics and turning analysis into meaningful commercial recommendations.

The Role

As the Digital Analyst, you’ll analyse digital and eCommerce data to understand customer behaviour, identify opportunities and support better commercial decision-making. You’ll work closely with stakeholders across Digital Commerce, Customer Journey and Performance Marketing, becoming a trusted analytics partner and translating complex data into clear, actionable insights.

Your responsibilities will include:

• Analysing digital and e-commerce data across multiple EMEA markets.
• Using SQL, Adobe Analytics and web analytics to understand customer behaviour and performance.
• Analysing customer journeys and on-site activity to identify opportunities for optimisation.
• Supporting performance marketing and attribution analysis.
• Building and maintaining dashboards and reporting for Digital stakeholders.
• Translating analysis into clear insights and recommendations through effective data storytelling.
• Supporting A/B testing and experimentation alongside the Customer Journey team.
• Carrying out web analytics QA, including tagging, data-layer and tracking validation.
• Bringing together data from marketing, customer and inventory sources.
• Supporting the development of the reporting environment as the team moves towards Databricks and Power BI.
• Helping develop scalable and increasingly automated reporting across the business.

The role will also involve working with developers and product teams to identify and resolve tracking issues, as well as supporting the QA of experiments before and after launch.

Your Skills & Experience

I am looking for someone with strong analytical ability who can combine technical skills with excellent stakeholder communication.

You’ll ideally have:

• Good Experience with Adobe Analytics or Google Analytics.
• Good SQL skills.
• A background in retail, e-commerce or another customer-focused environment where understanding customer journeys is important.
• Strong stakeholder management and communication skills.
• The ability to turn analysis into clear, commercially relevant insights rather than simply producing reports.
• Experience with dashboards, reporting and data visualisation.
• An understanding of experimentation, A/B testing and web tracking would be highly beneficial.

The Benefits

• £35,000-£40,000

How to Apply

Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

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Senior Pricing Analyst
Hybrid – Leicester (1x day per week)
£45,000 – £60,000 + bonus

Are you a commercially minded analyst looking to make a tangible impact through data-driven pricing decisions? This is an excellent opportunity to join a well-established organisation that is investing heavily in its analytics capabilities and offering genuine ownership, visibility, and career development within a high-performing team.

The Company
They are a forward-thinking organisation that places data and analytics at the centre of business decision-making. With continued investment in technology, pricing capability, and innovation, they are focused on delivering fair customer outcomes while driving sustainable business growth.
They foster a collaborative environment where analytical expertise is valued, new ideas are encouraged, and individuals have the opportunity to influence strategic decisions. This is an exciting time to join a growing team that is committed to continuous improvement and professional development.

The Role
As a Senior Pricing Analyst, you will play a key role in developing and enhancing pricing strategies that improve commercial performance and support business objectives.
Key responsibilities include:

• Designing and refining pricing segmentation strategies across products and customer groups
• Analysing portfolio performance to identify pricing opportunities, trends, and emerging risks
• Developing monitoring frameworks to assess pricing effectiveness and portfolio health
• Delivering actionable insights that improve pricing accuracy and commercial outcomes
• Supporting testing and optimisation initiatives to enhance pricing performance
• Working closely with underwriting, product, commercial, and analytics teams to influence business decisions
• Communicating complex analytical findings to both technical and non-technical stakeholders
• Contributing to the ongoing development of pricing and analytics capabilities across the business

Your Skills & Experience

• Strong analytical experience within pricing, modelling, forecasting, or quantitative analysis
• Understanding of insurance pricing principles, segmentation methodologies, or similar commercial analytics functions
• Experience using analytical tools such as Python, SQL, R, SAS, or comparable technologies
• Ability to interpret complex datasets and translate findings into clear business recommendations
• Strong stakeholder management and communication skills
• Commercial awareness and a data-driven approach to problem solving
• Proactive mindset with the ability to manage competing priorities in a fast-paced environment

What They Offer

• Salary of £45,000 – £60,000
• Hybrid working model with just 1 day per week in the Leicester office
• Performance-related bonus
• Generous pension contribution
• Life assurance and income protection
• Healthcare and wellbeing support
• Flexible benefits package
• Excellent learning and development opportunities
• Clear progression routes within a growing analytics function
• Supportive and collaborative working environment

How to Apply
If you’re interested in this Senior Pricing Analyst opportunity and would like to work in a business where analytics plays a key strategic role, apply today to learn more.

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Marketing Automation Engineer

UK Remote

£90,000 + benefits

This is an opportunity to join a commercially focused digital business where technology, customer data and marketing directly influence growth. You will work across engineering, marketing, CRM and data to build automated customer journeys, improve conversion and turn behavioural insights into measurable revenue outcomes.

The Company

They are a digital marketplace business serving a large consumer customer base. Customer experience and conversion optimisation are central to their growth strategy, with an established experimentation roadmap and an increasing focus on bringing technical marketing capability in-house. They have a collaborative UK technology function alongside a broader international operation, with AI increasingly being used to support experimentation, development and analysis.

The Role

As a MarTech Engineer, you will work closely with senior technology and marketing stakeholders to connect customer data, marketing technology and engineering.

You will:

• Build and optimise automated customer journeys across email and other marketing channels.
• Analyse customer behaviour to identify valuable cohorts, conversion opportunities and points of drop-off.
• Use SQL and BigQuery to interrogate customer and behavioural data.
• Develop re-engagement journeys for customers who do not complete key conversion steps.
• Translate marketing requirements into technical rules, processes and scalable automations.
• Build and maintain integrations between customer, CRM, marketing and wider business systems.
• Develop reliable conversion data feeds into advertising platforms.
• Support remarketing activity and optimisation across platforms such as Google Ads.
• Connect marketing activity with purchases and revenue to improve measurement and attribution.
• Build automations that enable marketing teams to operate more effectively.
• Maintain data quality and consistency across customer and marketing systems.
• Work with internal teams and external partners to improve how and when customers are engaged.
• Contribute to conversion rate optimisation and experimentation initiatives with clear commercial outcomes.

Your Skills & Experience

• Strong commercial experience working across MarTech, marketing engineering, CRM engineering or a similar technical marketing environment.
• Strong SQL skills with experience querying and interpreting customer or behavioural datasets.
• Experience with BigQuery or a comparable cloud data warehouse.
• Development experience with JavaScript and Node.js.
• Experience building integrations, APIs, data feeds or automated workflows between platforms.
• Understanding of CRM and marketing automation technology.
• Experience working with digital advertising, remarketing or conversion tracking.
• Ability to translate marketing objectives into robust technical solutions.
• Strong understanding of customer journeys, conversion funnels and data-led optimisation.
• Confidence collaborating across engineering, data and marketing teams.
• Experience with Salesforce and AWS would be beneficial.

What They Offer

• Competitive salary dependent on experience.
• Hybrid working within a collaborative UK technology environment.
• Direct exposure to senior technology and marketing leadership.
• The opportunity to influence a substantial conversion optimisation and experimentation roadmap.
• A role combining hands-on engineering with measurable commercial impact.
• Scope to help shape an increasingly important in-house MarTech capability.

How to Apply

If you are a MarTech Engineer who enjoys combining engineering, customer data and digital marketing to improve conversion and revenue, apply to find out more.

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Product Data Scientist

Hybrid – Sheffield (1x day per week)

£50,000 – £60,000

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You’ll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions.

The Company

They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value.

The Role

You will:

• Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation.
• Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour.
• Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling.
• Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives.
• Translate business questions into structured analytical approaches and actionable recommendations.
• Partner closely with engineering and data teams to define metrics and improve data models.
• Design and maintain dashboards, reports, and KPI frameworks for business stakeholders.
• Communicate complex analytical findings clearly to both technical and non-technical audiences.
• Support the adoption of data-driven decision making across the organisation

Your Skills & Experience

• Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional.
• Advanced SQL skills and experience working with cloud-based data warehouse environments.
• Strong Python or R capabilities for data analysis, statistical modelling, and machine learning.
• Experience building predictive models and applying analytical techniques to solve business problems.
• Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics.
• Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar.
• Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions.
• Experience working with modern data platforms and analytics engineering environments is beneficial.

What They Offer

• Salary of £50,000 – £60,000.
• Hybrid working arrangement based in Sheffield.
• Opportunity to influence product and business strategy through data.
• Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools.
• A collaborative environment with strong cross-functional partnership.
• Clear opportunities for professional development and career progression as the data function continues to grow.

How to Apply

Register your interest today to learn more about this Product Data Scientist opportunity in Sheffield and discuss how your experience aligns with the role.

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Customer Insights Analyst

£45,000 – £50,000 + bonus + strong pension

Hybrid – West Midlands (1x day per week)

This is an opportunity to join a growing customer analytics function at a pivotal time, where data plays a central role in shaping customer communications and commercial decision-making. You will work at the heart of campaign delivery, combining technical expertise with real business impact across multiple product areas.

The Company

They are a well-established UK financial services organisation with a strong customer-first culture and a reputation for high-quality service. Data and analytics are a strategic priority, with ongoing investment in modern platforms, tools, and ways of working. The environment is collaborative, stable, and focused on long-term value rather than short-term wins.

The Role

As a Customer Selections and Analytics Consultant, you will be responsible for delivering accurate and timely customer selections that support a wide range of campaigns. You will work closely with analytics and marketing stakeholders to turn campaign briefs into robust, data-driven outputs.

Key responsibilities include:

• Translating campaign briefs into clear, structured technical requirements
• Building, running, and optimising campaign selections using SQL
• Joining and manipulating data from multiple sources including CRM, transactional, and engagement data
• Using APIs to push selections into a CRM platform, supporting email and direct mail campaigns
• Partnering with analytics specialists on testing, measurement, and performance analysis
• Planning selections ahead of delivery schedules to support smooth campaign execution
• Contributing to wider data platform migrations and process improvements

Your Skills and Experience

• Strong SQL capability, with confidence building and optimising complex queries
• Experience in campaign selections, customer analytics, CRM data, or a related data role
• Ability to translate business requirements into practical data solutions
• Comfortable working with multiple data sources and large customer datasets
• Experience supporting marketing or customer communications campaigns
• Industry background is open, with transferable analytical experience valued

What They Offer

• Competitive salary and benefits package
• Hybrid working with flexibility built into the culture
• Exposure to large-scale data platform and CRM transformation projects
• Clear opportunities to develop technical capability and progress within analytics
• A supportive, collaborative team environment with strong knowledge sharing

How to Apply

Apply now to learn more about this Customer Selections and Analytics Consultant role and how it could fit into your next career move.

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Director of Data Research

Remote – UK Based

£100,000 – £150,000

This is an opportunity to lead a growing Data Research function within a scaling technology business. You will combine strategic leadership with hands-on statistical and data expertise, shaping how novel data sources are discovered, evaluated and transformed into commercially valuable insights.

The Company

They are a data-led technology business providing sophisticated KPI and market insights to investment professionals. Their platform combines first-party and third-party datasets with proprietary modelling techniques. Following recent investment and continued growth, they are strengthening their senior technology leadership team.

The Role

As Director of Data Research, you will set the technical direction for the function while leading and developing a growing team.

• Define and execute the data research strategy alongside senior technology and strategy stakeholders.
• Lead complex, open-ended research projects from hypothesis through to evidence-based recommendations.
• Establish rigorous standards for evaluating new datasets, improving accuracy, quality and speed.
• Develop approaches for assessing the commercial value of new data sources and supporting purchasing decisions.
• Drive greater statistical and technical sophistication across data research.
• Lead, hire and develop technical talent as the function scales.
• Use Python, SQL, statistical analysis and data modelling expertise to review and challenge technical work.
• Explore how AI can improve research quality, data evaluation and operational efficiency.

Your Skills & Experience

• Strong commercial or research experience across data science, statistics or a closely related quantitative discipline.
• Deep knowledge of statistical analysis, data modelling, feature engineering and messy real-world datasets.
• Strong Python and SQL capability, with the technical depth to provide meaningful oversight of complex work.
• Experience defining hypotheses and leading ambiguous research projects through to clear conclusions.
• Demonstrable experience leading and developing technical teams.
• Strong commercial judgement when assessing the costs, benefits and potential value of datasets.
• Ability to communicate complex technical findings and limitations clearly to senior and non-technical stakeholders.
• Comfortable making pragmatic decisions within a fast-moving, scaling environment.
• Experience with financial data, alternative data, investment research, first-party data collection or AI-enabled research workflows would be advantageous.

What They Offer

• Competitive salary based on experience.
• Remote-first working, with a preference for candidates based in the UK or Europe.
• Significant ownership of the direction and development of a growing Data Research function.
• The opportunity to influence data strategy at senior leadership level.
• Scope to build and develop a high-performing technical team as the organisation scales.

How to Apply

If you are a senior data leader who combines research expertise, technical depth and commercial judgement, apply to find out more.

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CRM Executive – Fashion Retail | London

London – Hybrid, 3 days a week
Up to £35,000
⏰ 1 month notice or less required

We’re working exclusively with a well-known British fashion retail group on an exciting opportunity for a CRM Executive to join their growing team.

This is a great role for someone with 1-2 years’ CRM/email marketing experience, ideally within retail, fashion or beauty, who is commercially minded, passionate about customer engagement and keen to develop their career in CRM.

The role will involve:

• Briefing, building, sending and reporting on email campaigns

• Supporting the email and CRM strategy

• Developing segmentation and targeted customer audiences

• Testing and learning to improve engagement and revenue

• Analysing campaign performance and making recommendations

• Supporting weekly/monthly reporting and CRM projects

• Monitoring competitor activity and industry trends

• Working closely with marketing, trading and creative teams

We’re looking for:

• 1-2 years’ experience in CRM/email marketing

• Experience building emails and automations within an ESP

• Strong communication and problem-solving skills

• Commercial awareness and a genuine passion for CRM/customer engagement

• Retail experience is highly desirable, particularly fashion or beauty

• Ometria experience would be a bonus

If you’re interested in finding out more, please get in touch for a confidential conversation.

Find out more and apply via the link below!

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If you’re passionate about CRM, email marketing, and creating engaging customer journeys, this is an excellent opportunity to join a well-established consumer brand undergoing continued digital growth. You’ll play a key role in delivering and optimising email campaigns that drive customer engagement, retention, and revenue, while working closely with a collaborative marketing team.

The Company
This organisation is a recognised consumer-focused business with a strong digital presence and a loyal customer base. They are investing in their customer marketing function and are focused on delivering personalised experiences across key channels. Their culture encourages collaboration, innovation, and continuous improvement, offering a supportive environment where ideas are valued.

The Role
As a CRM Executive, you will be responsible for the end-to-end delivery of email marketing campaigns and supporting wider CRM initiatives.
Key responsibilities include:

• Briefing, building, deploying, and reporting on email marketing campaigns
• Supporting the development and execution of the email marketing calendar
• Working with internal stakeholders to ensure messaging aligns with business and marketing objectives
• Developing audience segmentation strategies to improve engagement, retention, and customer value
• Executing A/B tests and analysing results to optimise campaign performance
• Monitoring campaign metrics and providing actionable insights and recommendations
• Ensuring email best practices are followed across creative, content, and customer journeys
• Supporting CRM development projects and automation initiatives
• Producing regular performance reporting and competitor analysis
• Identifying opportunities to enhance customer experience and drive channel growth

Your Skills & Experience

• Strong commercial experience delivering email marketing campaigns from planning through to execution and analysis
• Experience using Email Service Providers (ESPs) to build, deploy, and optimise campaigns
• Understanding of audience segmentation, customer lifecycle marketing, and campaign personalisation
• Experience with email testing strategies and campaign performance optimisation
• Strong analytical skills with the ability to interpret data and generate insights
• Advanced Excel skills for reporting and analysis
• Experience with Google Analytics or similar web analytics platforms is desirable
• Excellent organisational skills with the ability to manage multiple campaigns simultaneously
• Strong communication skills and the ability to collaborate with a wide range of stakeholders
• A proactive mindset with a genuine interest in CRM, customer engagement, and digital marketing

To Apply for this Job Click Here

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Senior ML Ops Engineer

London (Hybrid, 1-2 days per week) | £75,000 – £85,000 + 10% Bonus

This is an opportunity to join a growing AI and data organisation that is using advanced analytics and machine learning to help public sector organisations make better, more informed decisions. You will play a pivotal role as the ML Ops specialist within the AI function, owning the infrastructure, deployment, and operational excellence of production machine learning systems.

The Company

They are an established data and AI business focused on developing innovative machine learning and analytics solutions that deliver meaningful real-world impact. Their platform combines predictive modelling, text analytics, and emerging AI capabilities to support complex decision-making at scale. As the organisation continues to grow, they are expanding their AI engineering capability and investing heavily in their platform and infrastructure.

The Role

You will:

• Own and evolve the infrastructure that powers a suite of AI and machine learning services.
• Design, build, and maintain production-grade ML orchestration pipelines using tools such as Dagster, Airflow, Prefect, or similar technologies.
• Deploy, monitor, and scale machine learning models and LLM-powered solutions in production environments.
• Build and maintain cloud-native infrastructure using Kubernetes and Infrastructure as Code technologies such as Terraform or Bicep.
• Develop robust CI/CD processes and observability frameworks to ensure reliable and secure ML operations.
• Collaborate closely with Data Scientists, software engineers, and client-facing teams to deliver scalable AI solutions.
• Influence technical standards, best practices, and the future direction of the organisation’s AI platform.

Your Skills & Experience

You will have:

• Strong commercial experience in Python software engineering.
• Experience deploying and managing machine learning infrastructure in production.
• Knowledge of orchestration tools such as Dagster, Airflow, Prefect, or similar.
• Hands-on experience with Kubernetes and containerised workloads.
• Expertise in Infrastructure as Code using Terraform, Bicep, Pulumi, or comparable technologies.
• Experience building CI/CD pipelines and implementing monitoring and observability practices.
• Experience working with cloud platforms, ideally Azure, although other cloud backgrounds will be considered.
• Exposure to LLMs, NLP, text analytics, or generative AI applications.
• The ability to deploy infrastructure that supports scalable, reliable machine learning services.

What They Offer

• Ongoing training and development opportunities.
• The chance to take ownership of a critical ML Ops function and influence the future of a growing AI platform.

How to Apply

If you are an ML Ops Engineer, Platform Engineer, or Infrastructure Engineer with a passion for production AI systems, cloud infrastructure, and machine learning at scale, apply now to learn more about this opportunity.

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