Harnham - Data & Analytics Recruitment jobs

Conversion Rate Optimization (CRO) Manager London - Hybrid (2 days per month) Competitive salary plus benefits This is an opportunity to lead customer experience optimisation at scale, shaping digital journeys that directly impact revenue and customer satisfaction across multiple markets. You will take ownership of experimentation strategy and deliver measurable commercial outcomes in a data-led environment that values innovation and continuous improvement. The Company They are a well-established organisation operating in a digital-first, customer-centric industry, serving millions of customers across international markets. With a strong reputation for service excellence and a focus on continuous innovation, they invest heavily in technology, data, and customer experience. Their collaborative culture brings together teams across product, marketing, and engineering to drive meaningful change. They offer a flexible working model designed to support both performance and wellbeing. The Role You will lead the end-to-end customer experience optimisation strategy, owning performance across digital journeys and driving improvements through experimentation and insight. - Own and optimise the full digital customer journey with accountability for conversion, revenue, and customer experience outcomes - Develop and execute a data-led experimentation and CRO strategy to improve conversion, retention, and ancillary performance - Use analytics, user research, and behavioural data to identify opportunities and prioritise impactful changes - Partner with engineering, UX, and commercial teams to deliver A B testing and scalable optimisation initiatives - Define and track key CX performance metrics, reporting insights and recommendations to senior stakeholders - Champion a culture of experimentation, leveraging emerging technologies and AI to enhance performance - Collaborate with cross-functional teams across multiple locations to deliver a unified optimisation roadmap Your Skills and Experience - Strong commercial experience in customer experience optimisation, CRO, or digital product environments - Proven ability to deliver data-driven experimentation strategies that impact conversion and revenue - Expertise in analytics and testing tools such as Google Analytics, Tableau, Optimizely, VWO, or similar - Solid understanding of front-end implementation, tracking, and experimentation frameworks - Knowledge of UX and personalisation principles with a focus on customer-centric design - Experience managing multiple initiatives and stakeholders in a fast-paced environment - Strong communication skills with the ability to translate insight into actionable strategy What They Offer - Competitive salary and benefits package - Flexible, remote-first working model with limited office requirements - Opportunity to work on high-impact projects across multiple brands and markets - A collaborative and innovative environment with strong career progression opportunities - Exposure to advanced experimentation, personalisation, and AI-led optimisation How to Apply If you are keen to drive customer experience optimisation and deliver measurable impact, please apply with your CV to learn more.

DATA ANALYST (6-MONTH FTC) LONDON/HYBRID UP TO £55,000 This is an opportunity to join a high-profile regulatory programme where your work will directly support business-critical decision making. Sitting within an established Analytics team, you will play a key role in delivering accurate data analysis, reporting, and extracts to support a major FCA redress initiative. ROLES AND RESPONSIBILITIES: The Data Analyst will: - Support the delivery of a major FCA redress programme. - Analyse complaints and regulatory datasets to provide actionable insights. - Write, maintain, and optimise SQL queries. - Produce large-scale data extracts for operational and reporting requirements. - Manage high volumes of data requests while maintaining exceptional accuracy. - Deliver reporting and management information to support programme outcomes. - Collaborate with technical and non-technical stakeholders across the business. - Ensure data quality and supporting regulatory reporting requirements. YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: - Strong commercial SQL experience, using SQL as a primary analytical tool. - Proven ability to manipulate, transform, and analyse complex datasets. - Experience handling large data extract and reporting requests. - Strong attention to detail and a commitment to data accuracy. - Ability to work effectively in a regulated or highly governed environment. - Experience engaging with business stakeholders and translating requirements into deliverables. - Availability to start within a reasonable timeframe. - Financial services experience is beneficial APPLY BELOW

Product Analyst Up to £85,000 + Bonus Hybrid - London (2x days per week) This is an exciting opportunity to join a fast-growing digital organisation where data sits at the heart of every decision. You will play a pivotal role in shaping how product teams understand user behaviour, influence product strategy, and unlock opportunities that drive measurable impact. The Company They are a consumer-focused digital business committed to creating meaningful experiences for their members. With a mission-driven culture and a period of rapid expansion, they are investing heavily in data, analytics, and experimentation. Collaboration, innovation, and continuous learning are central to how they operate. They offer a flexible hybrid environment with a strong focus on development and wellbeing. The Role Use quantitative analysis and data storytelling to uncover user behaviours and inform product strategy. Generate hypotheses, support experiments, and identify new opportunities. Define and maintain key product metrics, ensuring clarity and alignment across teams. Build dashboards and self-serve tools that empower stakeholders. Conduct deep-dive analyses to influence strategic decisions. Contribute to shared knowledge and promote best practices across data teams. Your Skills and Experience Strong commercial experience in analytical roles within digital products. Proficient in SQL and analytical tools such as Python or R. Skilled in dashboarding with tools like Looker, Tableau, or similar. Confident translating complex data into actionable insight for varied audiences. Curious, collaborative, and proactive in solving problems. What They Offer Competitive salary, hybrid working, comprehensive benefits, generous leave, wellbeing support, and a culture that champions growth. How to Apply To register your interest, send your CV or apply below.

Junior Digital Analyst£35,000 - £37,000Hybrid - Merseyside (3x days per week) Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You'll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics. The Company They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You'll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy. The Role As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth. Key responsibilities include: - Translate business challenges into analytical projects and data-driven recommendations - Analyse web, customer, and commercial data to identify opportunities and trends - Build strong relationships with stakeholders across ecommerce and wider business teams - Develop dashboards, reports, and self-service analytics solutions using BI tools Your Skills & Experience - Strong commercial experience working with BigQuery and SQL - Experience analysing ecommerce or digital performance data - Strong knowledge of Google Analytics 4 (GA4) - Experience with data visualisation tools such as Power BI or Looker - Understanding of analytical methodologies and data-driven problem solving - Awareness of ETL processes and data automation concepts - Strong communication skills with the ability to present complex findings clearly to non-technical audiences What They Offer - Competitive salary and benefits package - Hybrid working environment - Access to career development and progression opportunities - Collaborative and supportive analytics team - Opportunity to shape reporting, insights, and data capability across a growing ecommerce function - Pension and additional employee benefits How to Apply If you're an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

Senior SEO Executive Derbyshire (Hybrid, 4 days onsite) Up to £33,000 This is an exciting opportunity to step into a high-impact Senior SEO Executive role where you will shape organic performance for a major consumer brand. If you are looking for a hands-on position with real responsibility, strong cross-team collaboration, and the chance to elevate a well-known digital estate, this could be the ideal next move. The Company They are a large, fast-moving retail group with a significant digital presence and a commitment to ongoing improvement across their online platforms. With a clear focus on growth, they invest heavily in their digital performance and value those who bring fresh ideas and a proactive mindset. You will join a business that encourages initiative, supports development, and operates with an ambitious commercial vision. The Role You will support the optimisation and growth of the SEO channel, working closely with digital, content, and technical teams. Your responsibilities will include: Making recommendations to improve organic visibility and rankings Optimising site architecture, content, and internal linking to drive performance Collaborating with content teams to produce optimised category pages, landing pages, blogs, and buying guides Conducting technical SEO audits using tools such as Screaming Frog or Botify Using platforms like SEMrush or Pi Datametrics to identify opportunities and monitor performance Supporting link-building strategies and carrying out backlink audits Reporting on SEO performance and highlighting key insights Your Skills and Experience Strong commercial experience in an SEO-focused role, either in-house or agency Confident with keyword research, on-page optimisation, and SEO analysis Comfortable presenting performance updates to stakeholders Skilled in managing multiple tasks and deadlines in a fast-paced environment Proactive approach to problem-solving and continuous improvement Experience collaborating on content strategies and understanding SEO's role in broader digital activity What They Offer Salary up to £33,000 Hybrid working model with structured onsite collaboration Access to professional development opportunities across digital and marketing A supportive environment that rewards initiative and impact How to Apply If this Senior SEO Executive role sounds like the right next step for you, apply today and explore the opportunity further.

Digital Analyst £40,000 - £45,000Hybrid - Merseyside (3x days per week) Are you passionate about turning digital data into meaningful commercial insight? This is an opportunity to join a well-established retail organisation undergoing continued investment in ecommerce, analytics, and data-driven decision making. You'll play a key role in helping teams understand online performance, customer behaviour, and growth opportunities through advanced analytics. The Company They are a customer-focused retail business with a significant online presence and a strong commitment to innovation. Data plays a central role in shaping commercial decisions, and the organisation continues to invest in analytics capabilities across the business. You'll join a collaborative environment where insights are valued, and where analytical expertise has a direct impact on performance and strategy. The Role As an Ecommerce Data Analyst, you will be responsible for delivering actionable insights that improve online performance and support business growth. Key responsibilities include: - Translate business challenges into analytical projects and data-driven recommendations - Analyse web, customer, and commercial data to identify opportunities and trends - Build strong relationships with stakeholders across ecommerce and wider business teams - Develop dashboards, reports, and self-service analytics solutions using BI tools Your Skills & Experience - Strong commercial experience working with BigQuery and SQL - Experience analysing ecommerce or digital performance data - Strong knowledge of Google Analytics 4 (GA4) - Experience with data visualisation tools such as Power BI or Looker - Understanding of analytical methodologies and data-driven problem solving - Awareness of ETL processes and data automation concepts - Strong communication skills with the ability to present complex findings clearly to non-technical audiences What They Offer - Competitive salary and benefits package - Hybrid working environment - Access to career development and progression opportunities - Collaborative and supportive analytics team - Opportunity to shape reporting, insights, and data capability across a growing ecommerce function - Pension and additional employee benefits How to Apply If you're an Ecommerce Data Analyst with strong SQL, BigQuery, GA4, and BI experience, apply today to learn more about this exciting opportunity.

Senior Product Analyst £60,000-£70,000 Manchester (Hybrid - 3x Days a Week in Office) If you're passionate about product analytics, experimentation, and using statistics to shape the experience of millions of users, this is an opportunity to join one of the UK's leading digital product teams! The Company A market-leading digital business is looking for a Senior Product Analyst to join its growing Product Analytics function. Working within a highly collaborative Product & Technology division, you'll help drive product decisions through experimentation, behavioural analytics and data science, influencing products used by millions of customers every month. The Role Joining the Growth Engineering team, you'll use product analytics and experimentation to improve customer experiences, optimise conversion journeys and deliver smarter personalisation. You'll: - Lead product analytics projects from problem definition through to recommendation - Design, analyse and evaluate A/B tests and experimentation frameworks - Apply statistical techniques and modelling to solve product challenges - Analyse customer and user behaviour using rich event-level data - Partner with Product Managers, Engineers, Marketing and senior stakeholders - Support personalisation initiatives and audience measurement projects - Deliver clear, commercially-focused insights that influence product strategy This is a highly visible role where you'll combine strong technical skills with commercial thinking to drive meaningful product improvements. Your Skills & Experience - Strong SQL skills - Python (PySpark experience is beneficial) - Experience in Product Analytics - Strong knowledge of A/B testing and experimentation - Excellent statistical analysis skills, with exposure to modelling techniques - Experience analysing behavioural or digital product data - Ability to communicate insights to both technical and non-technical stakeholders - Experience working with web analytics or event-level data would be advantageous The Benefits - £60,000-£70,000 salary - Annual Share Scheme (10% of salary) - 28 days holiday plus bank holidays - Up to 6 weeks remote working during the summer & additional remote working over the Christmas period How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.

Product Analyst £60,000 - £70,000 + benefits Hybrid - Manchester (3x days per week) This is an opportunity to join a highly regarded digital business that reaches millions of consumers every week. Sitting within a cross functional product environment, you will use data to shape customer experiences, influence product strategy, and drive measurable business outcomes. You will take ownership of key analytics initiatives while helping to develop best practice across a growing analytics community. The Company They are a leading consumer focused digital organisation with a strong technology and data driven culture. Their platform supports millions of users, helping customers research, compare, and make informed purchasing decisions. Data plays a central role in decision making across the business, and analytics is deeply embedded within product development. They offer a collaborative environment where analysts work closely with Product, Engineering, Design, and Research teams to solve complex customer challenges. The Role As a Senior Data Analyst, you will: - Partner with product teams to define success metrics and measurement frameworks - Establish robust governance, monitoring, and reporting standards for key product areas - Design and develop data products in collaboration with data and engineering teams - Drive improvements to tracking and measurement capabilities across digital products - Lead experimentation and A/B testing programmes, providing actionable recommendations - Support product discovery by working alongside Design and User Research teams - Influence senior stakeholders through clear, evidence based insights - Identify opportunities to improve customer journeys, engagement, and product performance - Mentor and support other analysts within the wider analytics community - Contribute to the development of analytics frameworks, standards, and best practices Your Skills & Experience - Strong commercial experience within consumer facing digital product environments - Experience analysing complex customer journeys and behavioural data - Knowledge of experimentation methodologies and statistical inference techniques - Familiarity with product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms - Advanced SQL skills and working knowledge of Python - Understanding of ETL processes and core data engineering concepts - Ability to translate complex analysis into clear business recommendations - Experience delivering analytics projects within cross functional teams - Proven capability in mentoring, coaching, or leading analysts - Strong stakeholder management and communication skills What They Offer - Salary of £50,000 to £70,000 - Annual equity award equivalent to 10% of salary - Hybrid working model with regular collaboration in the office - Generous annual leave allowance plus bank holidays - Competitive pension scheme - Private medical insurance and wellbeing support services - Enhanced family friendly benefits - Additional savings and share scheme options - Clear opportunities to influence strategy and progress your analytics career within a mature data environment How to Apply If you are an experienced Senior Data Analyst looking to make an impact in a product led, data driven organisation, please apply with your CV to discuss the opportunity further.

I'm hiring a Senior Marketing Analyst to join a growing customer insights team within a well-established UK business that's rapidly scaling its data and analytics capability. This is a core role in the team , focused on unlocking value from customer data to drive smarter CRM, campaign targeting, and retention strategies. Up to £60,000Near Blackburn / Preston - Hybrid (2 days per week onsite) The company A large and growing UK network of independent businesses, supporting over 500+ locations across the UK and Ireland . They've built a strong reputation in their sector and are now investing heavily in customer insight, CRM, and analytics to better understand and engage their customer base at scale. The role You'll sit within a growing Customer Insight team , working closely with marketing, operations, and product teams to: - Understand customer behaviour - Improve campaign targeting - Drive retention and lifecycle engagement - Turn data into actionable business insight This team already has strong CRM and operational capability - but needs a dedicated analyst to own the data, insight, and performance side . What you'll be doing - Analyse customer and transactional data to identify behavioural trends and opportunities - Build and optimise CRM campaign targeting and segmentation - Support key initiatives like customer reactivation and recall campaigns - Conduct pre- and post-campaign analysis to measure performance and ROI - Develop dashboards and reporting around retention, churn, and customer value - Work with stakeholders to understand business needs and deliver insight - Translate data into clear, actionable recommendations for non-technical audiences What you bring Must-haves - Strong SQL skills - Experience in CRM / campaign / marketing analytics - Experience analysing campaign performance and customer behaviour - Comfortable working with customer segmentation and lifecycle data - Strong communication skills - able to present insights clearly - Experience working with stakeholders across different teams Nice to have - Experience with Python or similar tools - Experience with dashboards (Power BI / Tableau or similar) - Experience with survey or customer satisfaction data - Background in retail, healthcare, or service-led environments What they're looking for - 3-5 years' experience in marketing or CRM analytics - A strong mid-level analyst who can work independently - Someone who enjoys working with real business problems, not just reporting - Comfortable working in a growing environment with opportunity to shape things Why this role - Be the go-to analyst in a growing customer insight team - Own end-to-end work across targeting, analysis, and insight - Work on impactful projects (e.g. customer reactivation, lifecycle strategy) - Join a business with a large dataset that's currently under-utilised - Hybrid working with flexibility (2 days onsite) Location - Based near Blackburn / Preston - 2 days per week onsite (previously 3, now flexed) - Likely need to drive - commutable from across the North West Interview process - Initial chat with Hiring Manager - SQL assessment + final presentation

Customer Insights Analyst £50,000 - £60,000 Hybrid - Lancashire (3x days per week) This is an opportunity to step into a high impact customer insight role where your analysis directly shapes marketing strategy, customer experience, and commercial performance. You will work with rich customer and patient data to influence how a large, service led organisation engages, retains, and grows its customer base. The Company They are a well established, customer focused organisation operating at scale within a regulated, service led environment. Data and insight sit at the heart of their decision making, with strong collaboration across marketing, operations, and product teams. The business values thoughtful analysis, ethical data use, and turning insight into meaningful action. The Role You will focus on unlocking actionable insight across the full customer lifecycle, supporting CRM performance, retention, and personalisation. Key responsibilities include: - Analysing CRM, POS, digital, and survey data to identify behavioural trends and growth opportunities - Supporting campaign targeting and optimisation through segmentation, cohort analysis, and predictive insight - Developing dashboards that connect customer behaviour to commercial KPIs such as conversion, retention, and lifetime value - Leading analysis of satisfaction and advocacy data using sentiment and key driver approaches - Delivering clear, executive ready insights to non technical stakeholders - Partnering with marketing, operations, and product teams to improve lifecycle communications and service delivery - Ensuring GDPR and data governance standards are met in all analysis and reporting Your Skills and Experience - Strong commercial experience in customer insight, CRM analytics, or lifecycle analysis - Confident using SQL and Python for data analysis - Experience with BI and visualisation tools such as Power BI or Tableau - Solid understanding of segmentation, retention, and campaign performance metrics - Comfortable working with multi channel CRM data including email, SMS, and direct marketing - Ability to translate complex data into clear, actionable recommendations What They Offer - Competitive salary and benefits package - Hybrid working model - Exposure to large scale, high value customer data - Clear opportunity to influence strategy and see the impact of your work - Supportive, collaborative culture with strong values around integrity and improvement How to Apply If you are excited by turning customer data into meaningful commercial insight, apply now to find out more.

SENIOR DATA SCIENTIST UP TO £70,000 + EQUITY LONDON HYBRID WORKING - 2 DAYS PER WEEK Join a fast-growing fintech redefining lending through smarter, more personalised credit decisions. Take ownership of end-to-end modelling and shape how data directly drives real-world lending outcomes. THE COMPANY A UK-based fintech lender building an innovative consumer lending product focused on flexibility and affordability. The business is customer-first, using income and affordability data to make fairer lending decisions beyond traditional credit scores. With a proven model in place and strong growth plans, they offer a unique opportunity to join at an early but established stage. THE ROLE As a Senior Data Scientist, you will take ownership of credit risk and decisioning models, working across the full lifecycle from development through to deployment. This is a highly hands-on role with significant influence on how data drives commercial lending decisions. Specifically, you can expect to be involved in: - Building and optimising credit risk models, including scorecards and machine learning approaches - Deploying models into production and monitoring performance over time - Developing data pipelines and integrating multiple data sources into decisioning frameworks - Working closely with stakeholders to ensure models directly influence lending strategy and outcomes SKILLS AND EXPERIENCE - Strong experience developing credit risk models, including scorecards and ML models - Proficiency in Python and SQL for data analysis, modelling, and data manipulation - Experience working with cloud-based infrastructure (e.g. AWS) - Understanding of model deployment and production environments - Ability to translate technical work into commercial lending and commercial insights - Familiarity with financial services data such as bureau, Open Banking or affordability data BENEFITS The successful Senior Data Scientist will receive up to £70,000 and a comprehensive benefits package.

Lead AI Engineer London (Hybrid, 1 day per week) Up to £110,000 + 15% Bonus This is an exciting opportunity for a Lead AI Engineer to join a business making significant investment in AI and automation. You will play a pivotal role in shaping AI strategy, leading the delivery of production-grade GenAI solutions, and driving innovation across multiple high-impact business areas. With strong executive backing and a growing pipeline of AI initiatives, this role offers genuine influence and ownership from day one. The Company They are a well-established, technology-driven organisation operating at scale within a highly regulated environment. As part of a wider digital transformation programme, they are investing heavily in AI, automation, and advanced data capabilities to improve customer experiences and operational efficiency. Their AI function is expanding rapidly, with multiple GenAI and machine learning initiatives moving from concept into production. You will join a collaborative team where technical expertise is valued, decisions are made pragmatically, and innovation is closely aligned to measurable business outcomes. The Role As a Lead AI Engineer, you will be responsible for leading the design, development, and deployment of AI solutions that deliver real business value. Responsibilities include: - Owning end-to-end delivery of AI and GenAI solutions from discovery through to production. - Leading architecture decisions and providing technical direction across multiple AI initiatives. - Building scalable, secure, and reliable AI applications within an enterprise environment. - Driving build versus buy evaluations and recommending appropriate technologies. - Delivering solutions including retrieval-augmented generation (RAG), agentic AI, automation, and intelligent decision-support tools. - Working closely with engineering, security, governance, and business stakeholders. - Navigating complex and ambiguous problem spaces to identify practical AI opportunities. - Providing technical leadership, guidance, and mentoring within the AI engineering function. - Contributing to the wider AI strategy and future direction of the capability. Your Skills & Experience - Strong commercial experience delivering GenAI solutions into production environments. - Proven ability to lead AI projects from concept through deployment and operational management. - Excellent software engineering fundamentals and experience building scalable applications. - Experience making architecture and technology decisions within enterprise organisations. - Strong knowledge of modern AI engineering practices, including LLMs, RAG, agentic workflows, and MLOps concepts. - Experience working with cloud platforms, ideally AWS. - Ability to balance innovation with risk, governance, and operational requirements. - Strong stakeholder management and communication skills. - Experience within financial services or other regulated environments would be beneficial. - Demonstrable experience operating at Lead Engineer, Technical Lead, or equivalent level. What They Offer - Hybrid working model with flexibility and a strong focus on outcomes. - Opportunity to influence AI strategy within a growing and highly visible function. - Exposure to a broad portfolio of AI transformation initiatives. - Career progression within an expanding AI and engineering capability. - Autonomy, ownership, and the opportunity to deliver meaningful business impact at scale. How to Apply If you are a Lead AI Engineer with proven experience delivering production-ready GenAI solutions and want to play a key role in shaping the future of AI within a large-scale organisation, please apply today.