Harnham - Data & Analytics Recruitment

Job Title: Data Architect (Contract) Location: London (Hybrid - 2 days per week) Rate: £630 per day (Inside IR35) We are supporting a leading aviation business undergoing a major data platform transformation and are looking for an experienced Data Architect to play a key role in delivering this programme. Role Overview This is a hands-on Data Architect role focused on leading the migration of a legacy Oracle estate into AWS and Snowflake . You will be responsible for overseeing a team of engineers while driving the design and implementation of a scalable, modern cloud data platform. Key Responsibilities Lead the end-to-end architecture and delivery of an Oracle to AWS/Snowflake migration Oversee and guide a team of data engineers, ensuring best practices and high-quality delivery Design scalable, secure, and high-performing data models and pipelines Re-engineer legacy Oracle data structures into modern cloud-native architectures Work closely with stakeholders to gather requirements and align technical solutions to business needs Ensure strong data governance, quality, and performance across the platform Key Requirements Proven experience as a Data Architect on large-scale cloud migration programmes Strong experience migrating Oracle systems to AWS and Snowflake Experience leading and mentoring engineering teams Strong background in data modelling, architecture design, and cloud data platforms Experience working with HR data (key requirement) Excellent stakeholder management and communication skills

Digital Analytics Consultant (Adobe Analytics)Hybrid - London (1-2 days per month in London)£60,000 - £70,000 + bonus This is a senior opportunity where you take ownership of complex digital analytics delivery, work hands on with Adobe tools, and influence how data, tagging, experimentation and connected experiences come together. The Company They are a specialist digital analytics and optimisation consultancy focused on solving complex data challenges and enabling better customer experiences. They partner with well known brands to deliver high value analytics, experimentation and data activation programmes. Their culture is collaborative, clear thinking, and centred on doing high quality work without unnecessary layers or politics. The Role Lead delivery across tagging, analytics, reporting and experimentation. Manage Adobe Analytics implementations, enhancements and fixes. Configure and govern Adobe Tags setups. Translate business needs into structured technical requirements. Oversee tagging, CRO, reporting and insights workstreams. Identify data layer, schema or consent issues early and propose solutions. Build dashboards and segments across Adobe Analytics, GA4 and Customer Journey Analytics. Guide senior stakeholders, shape delivery roadmaps and keep programmes moving. Your Skills and Experience Strong commercial experience with Adobe Analytics at admin and implementation level. Experience configuring and managing Adobe Tags. Ability to manage multiple workstreams across tagging, analytics or CRO. Comfortable working with cross channel data and identifying data quality issues. Confident communicating with senior stakeholders in both technical and non technical contexts. Experience with CJA, GA4, GTM or Adobe Target is beneficial What They Offer Salary £60,000 - £70,000 Performance linked bonus. Private medical cover. Annual wellbeing budget. Unlimited training budget. Cycle to work scheme. Flexible, remote first working with regular team meetups. Clear progression routes toward senior leadership. How to Apply To apply, please send your CV

DATA SCIENTIST (PRODUCT ANALYTICS) UP TO £65,000 HYBRID - 1X A WEEK IN LONDON Please note, you must be a UK resident to apply and hold full right to work JOB DESCRIPTION My client is looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection of technical depth and strategic impact. You'll dive into data, pipelines, and experimentation frameworks while also influencing product direction, user experience, and commercial outcomes. WHAT YOU'LL DO Product Analytics Ownership Act as the go-to data scientist for a core product area. Develop a deep understanding of user behaviour and product performance. Identify opportunities to improve user outcomes and business results. Influence Product & Business Strategy Connect analysis to broader company goals and strategic priorities. Help product teams understand trade-offs, challenge assumptions, and make evidence-based decisions. Experimentation & Measurement Design hypotheses and support experimentation frameworks. Monitor and analyse A/B tests, providing clear recommendations on rollouts or iterations. Conduct post-experiment analysis to evaluate impact and learning. Enable Data-Driven Decision Making Collaborate with product, platform, and data teams to ensure scalable, accurate datasets. Build dashboards and reporting that drive awareness, clarity, and action across teams. Support self-serve analytics and data literacy within the product organisation. SKILLS Strong SQL skills with experience querying large, complex datasets. Basic working knowledge of Python. Familiarity with ETL workflows and debugging data issues. Proven experience designing and interpreting A/B tests. Hands-on experience with data visualisation tools (e.g. Looker, Tableau, or similar). Excellent communication skills, with the ability to explain complex concepts clearly and persuasively. Commercial mindset, balancing user needs with business outcomes. Strong sense of ownership; highly organised and proactive. Comfortable working in fast-changing, ambiguous environments. BONUS POINTS Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery.

Data Engineer £40,000 - £50,000 Birmingham (Hybrid) An opportunity to join a growing data function and take ownership of data engineering in a business that is scaling rapidly. You will work in a supportive, family-friendly culture where your work has a direct impact on every team, and where stability, collaboration, and autonomy are genuinely valued. THE COMPANY They are a long-established manufacturer within the healthcare sector, supplying specialist products used across the NHS and international markets. The organisation is growing quickly, expanding its digital presence, and increasing its analytics maturity. With a strong reputation, modern office space, and a culture that prioritises trust and development, they offer the chance to build long-lasting relationships across the business while influencing key data capabilities. THE ROLE As a Data Engineer, you can expect to be involved in the following: Maintain and develop core data pipelines across Azure. Manage nightly data transfers from a legacy system into Azure SQL. Build and support integrations for CRM data, NHS datasets, Google Analytics, and international reporting feeds. Carry out web scraping using Python and Selenium to support product and patient insight work. Improve data architecture and help remove duplicated datasets. Create and maintain APIs and new pipelines as the business scales. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: Strong commercial experience with Azure, Python, and SQL. Proven ability to build and maintain data pipelines. Experience working with APIs and integrating multiple data sources. Confidence working with legacy systems and non-modernised environments. Knowledge of web scraping techniques. Experience with Tableau, Apache, or digital analytics tools is beneficial but not essential. BENEFITS The successful Data Engineer will receive the following benefits: Salary between £40,000 - £50,000 - depending on experience. Hybrid working - 3 days a week in office. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead Data Platform Engineer £75,000 - £85,000 Remote You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best-in-class data engineering practices. THE COMPANY This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities. THE ROLE As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure. Specifically, you can expect to be involved in the following: Designing and developing end-to-end data platform solutions in Azure using Databricks Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation. Implementing CI/CD and DevOps best practices across data pipelines and platform components. Taking ownership of design decisions and long-term architectural direction. SKILLS AND EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting solutions. Ability to work effectively with stakeholders across engineering functions. BENEFITS The successful Lead Data Platform Engineer will receive the following benefits: Salary between £75,000 - £85,000 - depending on experience Competitive bonus and benefits. Remote work with a flexible 35-hour week that can be taken as a 4-day week. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Lead Data Platform Engineer £75,000 - £85,000 Remote You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best-in-class data engineering practices. THE COMPANY This industry-leading organisation serves specialist, people-first knowledge to its clients and is looking to provide further expertise by improving its data capabilities. THE ROLE As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and governed in Azure. Specifically, you can expect to be involved in the following: Designing and developing end-to-end data platform solutions in Azure using Databricks Building and maintaining automation for cluster management, monitoring, tagging, and platform optimisation. Implementing CI/CD and DevOps best practices across data pipelines and platform components. Taking ownership of design decisions and long-term architectural direction. SKILLS AND EXPERIENCE The successful Lead Data Engineer will have the following skills and experience: Deep expertise with Azure Databricks, including development, deployment, and platform-level engineering. Strong software engineering capability across Pyspark, Spark SQL and Azure Data Factory. Solid understanding of DevOps practices including CI/CD and automated testing. Experience with monitoring, logging, and alerting solutions. Ability to work effectively with stakeholders across engineering functions. BENEFITS The successful Lead Data Platform Engineer will receive the following benefits: Salary between £75,000 - £85,000 - depending on experience Competitive bonus and benefits. Remote work with a flexible 35-hour week that can be taken as a 4-day week. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

Software Developer Surrey - Hybrid (3 Days in Office, Every Two Weeks) £50,000 to £65,000. A great opportunity to join a growing consultancy where you will build full stack software used across aviation, defence and public sector environments. You will work on varied, meaningful projects while enjoying autonomy, flexibility and strong technical standards. The Company They are a specialist consulting organisation delivering end-to-end software products that solve complex problems for their customers. They focus on innovation, quality and collaborative engineering, offering a supportive environment where you can rotate between challenging projects and contribute to real impact. The Role Deliver full stack software using Java and a modern frontend framework. Contribute across design, development and cloud deployment. Write high-quality, maintainable code and follow best practices. Work closely with developers and data scientists on varied projects. Help shape engineering standards and contribute to a positive team culture. Your Skills and Experience Strong commercial experience with Java and Spring. Skilled in Angular or another modern frontend framework. Familiarity with cloud environments, ideally Azure, plus tools such as Terraform. Confident working full stack and across the SDLC. Able to work independently and collaborate effectively. Eligible to obtain UK Security Clearance. What They Offer £50,000 to £65,000 depending on experience. Hybrid working with 1.5 days per week onsite. 25 days holiday plus bank holidays and option to buy 5 more. Pension matched to 5 percent. Five training days and five charity days per year. One month per year working remotely abroad. Annual performance-based pay review and bonus.

PRINCIPAL AI ENGINEER Up to £95,000 + BENEFITS LONDON (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £95,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Analytics Consultant - Digital London, hybrid (2 days per week in the office) Up to £40,000 + benefits Join a high-growth performance marketing agency where digital analytics sits at the heart of how they plan, optimise, and measure media. If you enjoy variety, solving complex problems with data, and working closely with stakeholders, this role offers a broad remit, strong mentorship, and clear room to grow. The Company They are a mid-sized performance marketing agency with a global footprint and a strong presence in the UK. Their clients span household-name brands across energy, public sector, education, and ecommerce. Data, measurement, and experimentation are central to how they design and deliver marketing solutions. You will join a close-knit analytics team embedded within the wider business, partnering with media specialists, strategists, and product teams. The Role As a Digital Analytics Consultant, you will sit within the analytics function and support a range of media and marketing projects, primarily in a Google Cloud environment. You will: Build and maintain data pipelines and marketing data warehouses, often in BigQuery, to centralise digital and CRM data. Work with web analytics tools to design tracking, implement measurement plans, and support migrations such as GA4 setups. Develop SQL queries to transform, QA, and analyse data for reporting and deeper insight. Create dashboards and visualisations in tools such as Power BI, Looker, or Tableau to communicate performance to non-technical stakeholders. Support customer analytics projects including segmentation, CLTV analysis, and audience targeting for CRM and paid media activation. Collaborate closely with internal media and solutions teams to scope requirements and translate business questions into data solutions. Contribute to experimentation, testing, and recommendations that directly impact client marketing performance. Your Skills & Experience You will be a curious, proactive digital analytics professional with: Strong commercial experience using SQL to manipulate and analyse data. Hands-on experience with cloud data warehousing, ideally BigQuery or a similar platform. Practical knowledge of web analytics tools such as Google Analytics (including GA4) or Adobe Analytics. Understanding of tagging and implementation, for example using Google Tag Manager or similar tools. Experience building or maintaining reports and dashboards in tools like Power BI, Looker, or Tableau. A genuine interest in digital marketing, media performance, and how data can drive better decisions. Strong communication skills, with confidence working directly with internal stakeholders and clients. A collaborative, inquisitive mindset, keen to learn, ask questions, and get involved in a small team environment. A background in agencies or consultancies is helpful but not essential if you are comfortable working across multiple projects and clients. What They Offer Salary up to £40,000 depending on experience. Hybrid working with 2 set days per week in their London office, alongside flexible home-working. Ongoing training and upskilling across analytics, cloud, and data science, with mentorship from experienced consultants. Exposure to a wide variety of projects across web analytics, data warehousing, CRM, and predictive modelling. A supportive, tight-knit team culture where your ideas are heard and you can progress quickly as you grow your skill set. How To Apply If you are excited by the blend of digital analytics, cloud data, and hands-on problem solving in a media environment, apply with your CV today to find out more.

PRINCIPAL AI ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build and operate production-ready AI agents on GCP Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Deep hands-on expertise with GCP services Strong Python skills Practical experience with LLMs, embeddings, RAG architectures and vector databases. A track record of building production-grade AI systems, including observability, evaluation and automated testing. DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.

Applied AI Engineer London (hybrid, three days per week onsite).Competitive salary between £140,000 and £150,000. This is an exciting opportunity to join an elite AI product team operating with the pace of a startup and the scale of a major software group. You will build production AI systems end to end, deploy into real customer environments, and accelerate your learning faster than almost anywhere else in the market. The Company They are an AI product incubator embedded within a large, well-established B2B software investment environment. Their mission is to partner with portfolio companies to design, build, and ship AI products that have immediate commercial impact. Working in focused sprints, they deliver production systems into businesses across fintech, enterprise SaaS, and B2B services. The team is deliberately small, high-performing, and structured to give engineers real ownership from day one. The Role Build full-stack, production AI applications from first architecture through to customer-facing delivery. Develop backend, infrastructure, and frontend components using Python, FastAPI, React, TypeScript, and cloud platforms. Deploy GenAI and LLM-based systems, including evaluation, observability, and agent-based workflows. Operate in cross-functional pods embedded into portfolio companies, typically for multi-month build cycles. Work with technical and commercial leaders to define product direction and ship quickly in high-velocity environments. Translate complex AI capabilities into scalable, reliable, revenue-generating products. Your Skills and Experience Strong commercial experience delivering end-to-end AI products into production environments. Broad engineering capability across backend, cloud infrastructure, and frontend development. Hands-on experience with GenAI, LLM deployment, and production-grade ML tooling. Comfortable working in ambiguous, fast-moving settings such as startups or high-intensity engineering teams. Confident communicating with both technical and non-technical stakeholders, including senior leadership. A proactive, 0-to-1 mindset with the ability to set direction rather than wait for specifications. What They Offer Competitive base salary. Meaningful carry and long-term upside. Hybrid working across London or New York, with flexibility to engage with portfolio teams. Significant ownership, rapid progression, and direct exposure to C-Suite stakeholders. The opportunity to build multiple AI products across different industries, accelerating your development in a way few roles can match. How to Apply If you are excited by the chance to build real AI products at scale, please apply with your CV.

QA Automation Engineer London - 2 days in the office Up to £60,000 plus benefits This is an exciting opportunity to join a high-growth technology environment where quality engineering plays a central role. You will help shape a modern test automation function, working with advanced tooling, AI-assisted approaches, and a microservices architecture to improve reliability, performance, and delivery speed. The Company They are a fast-scaling technology business developing an innovative digital product that empowers users through data, behavioural insight, and exceptional user experience design. Their teams work in cross-functional squads, collaborating closely to deliver a product that is continually evolving. With strong investment and a culture built around innovation, they offer an environment where engineering decisions genuinely influence product outcomes. The Role Develop and enhance automated test suites to reduce manual testing. Contribute to the delivery of a modern financial technology product in a scale-up setting. Collaborate with product managers, developers, and QA peers to ensure clarity, consistency, and testability of requirements. Use AI tools to accelerate test creation, debugging, and synthetic data generation. Plan, design, and execute testing across smoke, regression, functional, and performance areas. Create and maintain test documentation. Work within Agile squads, contributing to planning, estimation, and continuous improvement. Support the adoption and expansion of test automation across the wider QA community. Your Skills and Experience You bring Strong commercial experience in QA automation using Java or Kotlin. Hands-on use of AI tools to enhance productivity. A deep understanding of OOP principles. Proficiency in HTML, CSS, JavaScript, and modern web architecture. Strong API testing capability using tools such as RestAssured, Feign, Swagger, or Postman. Experience writing UI tests with Selenium, Selenide, or Playwright. Familiarity with TestNG, JUnit, and SQL for data validation. Experience with monitoring and debugging tools such as Sentry or Elasticsearch. Understanding of performance testing concepts and tools like JMeter or Gatling. Experience using test management systems (for example TestRail) and project tools such as Jira and Confluence. Knowledge of CI/CD pipelines, ideally GitHub Actions. Experience working in an Agile, fast-paced environment, ideally with microservices. What They Offer Salary up to £60,000 depending on experience. Hybrid working in London. Private healthcare, wellbeing support, and family-friendly policies. 25 days annual leave plus inclusive, balanced team socials. Pension contributions and optional salary sacrifice arrangements. Support for professional development and access to a modern, welcoming workspace. How to Apply If this sounds like the right next step for you, please apply with your CV and we will be in touch.

eCommerce & Digital Manager Harnham Albrighton, West Midlands (Hybrid) ECOMMERCE DIGITAL MANAGER UP TO 50K HYBRID 3-4 DAYS ALBRIGHTON WEST MIDLANDS Premium British horticulture brand scaling D2C in North America needs eCommerce Digital Manager. End-to-end digital marketing ownership driving growth. THE COMPANY UK brand. 220 employees, international presence US and Japan. D2C ecommerce, wholesale, licensed growers. Heritage brand, premium positioning. THE ROLE high-growth division scaling D2C North America. End-to-end digital marketing campaigns for ecommerce growth Manage Google Ads and Meta paid media Oversee email marketing and automated flows Support US market expansion Report to Director, work with team of 4 YOUR SKILLS Premium luxury brand experience essential - The North Face, John Lewis level Strong Google Ads and Meta platforms required Proven ecommerce digital marketing track record Data-driven optimization - Google Analytics, ad reporting Email automation experience desirable D2C growth experience ideal SALARY BENEFITS 40-50K base Hybrid 3-4 days week Albrighton office Small flat team high impact Scale D2C growth INTERVIEW PROCESS Stage 1 Initial - experience cultural fit Stage 2 Face-to-face Albrighton office Stage 3 Potential third if required HOW TO APPLY Send CV to Mohammed Buhariwala Include CV highlighting premium brand paid media experience, brief note why interested, confirm commutable distance Albrighton.

Staff Data Scientist - Paid Marketing London - x2 days a week Up to £113,000 plus bonus and benefits This is a fantastic opportunity to join a high-growth, product-led business where data drives every marketing decision. You will shape how performance is measured across a major digital brand, building new attribution and LTV capabilities that directly influence strategy. The Company They are a fast-scaling, community-focused digital marketplace with a strong app footprint and a mission-led culture. Their marketing team is expanding and investing heavily in data to improve performance across paid and brand channels. With an international user base and a modern tech stack, they offer the chance to innovate, experiment, and deliver impact at scale. The Role You will join the marketing analytics function, owning attribution modelling and the measurement framework that powers paid marketing decisions. Key responsibilities include: Leading the development, maintenance, and optimisation of attribution models for sign-ups and paid activity. Building measurement capabilities, including CLV and LTV modelling for strategic forecasting. Delivering complex, in-depth analysis to explain performance and guide future investment. Partnering with stakeholders across paid, brand, and wider marketing teams. Driving the measurement roadmap and ensuring clarity on key metrics across the business. Providing BAU support while also setting long-term direction. Your Skills and Experience You will bring: Strong SQL skills. Excellent Python capability for developing analytics and attribution models. Proven experience in marketing analytics within an app-based or digital-first environment. Ability to communicate complex measurement concepts clearly to non-technical stakeholders. Experience owning attribution frameworks and performance measurement processes. What They Offer Up to 113k plus benefits How to Apply If you are passionate about building best-in-class measurement for a fast-moving digital brand, apply today to find out more.

POWER BI DEVELOPER £35,000 LONDON, LEEDS OR MANCHESTER (HYBRID - 2 DAYS IN OFFICE) A strong opportunity for a Power BI Developer to join a small, high-impact data team embedded within one of the most well-connected agency groups in the market. You'd be working across major client accounts, building dashboards and reports that directly inform strategy - with real visibility at senior level from day one. THE COMPANY Our client is the data powerhouse within a leading group of media, technology, and creative agencies. With around 8 people in the team, they punch well above their weight - delivering data-led insights for some of the world's most recognisable brands across FMCG, tech, and telecoms. It's a collaborative, fast-moving environment where your work gets seen and your impact is felt quickly. THE ROLE Build high-quality Power BI dashboards and reports for both client projects and internal initiatives Develop and maintain structured data models including star schemas Use DAX, calculated columns and measures, and Power Query to transform and optimise data Support the maintenance and improvement of BI standards and design systems across the team Liaise confidently with internal stakeholders and present your work clearly Assist with analysis and insight generation for major client accounts YOUR SKILLS AND EXPERIENCE Strong, demonstrable Power BI expertise - data modelling and DAX are essential Ability to showcase previous work, whether dashboards, case studies or a portfolio Solid understanding of Power Query; SQL is beneficial but not a hard requirement Knowledge of DAX Studio or Tabular Editor is a bonus Experience with Tableau or Qlik is a rare plus Open to candidates from varied backgrounds - years of experience is not rigidly defined, the right skills and attitude matter most SALARY AND BENEFITS £35,000 base salary Hybrid working - 2 days in office (London, Leeds or Manchester) Work with globally recognised brands across FMCG, tech and telecoms Small team with direct exposure to senior stakeholders Fast progression in a growing, data-first environment HOW TO APPLY Please register your interest by sending your CV to Mohammed Buhariwala through the 'Apply' link or directly to

STAFF DATA SCIENTIST - MARKETING MEASUREMENT £95,000 - £113,000 + BONUS + EQUITY LONDON THE COMPANY This is an exciting opportunity to join a well-known consumer tech marketplace operating at global scale. The business has built a highly engaged community and is investing heavily in data and advanced analytics to drive smarter marketing decisions and sustainable growth. With marketing playing a critical role in their growth strategy, the company is expanding its marketing analytics capability and investing in sophisticated measurement frameworks to better understand performance across digital channels. THE ROLE As a Staff Data Scientist within the marketing analytics team, you will play a key role in developing advanced measurement capabilities to support paid marketing investment and long-term growth strategy. More specifically, you will: Own and develop attribution modelling frameworks to measure marketing effectiveness across paid channels Build and maintain analytics models to understand customer lifetime value and acquisition performance Develop advanced measurement approaches including incrementality testing and experimentation Partner with marketing stakeholders to evaluate campaign performance across multiple digital channels Build scalable Python-based analytics models and measurement frameworks Deliver insights that shape marketing strategy and future investment decisions Act as a key analytical voice across marketing leadership and wider stakeholders Support reporting and performance monitoring through BI tools such as Looker or similar YOUR SKILLS AND EXPERIENCE The successful candidate will have the following skills and experience: Strong experience in Marketing Analytics, ideally within a digital consumer or marketplace environment Excellent SQL skills with experience working with large and complex datasets Strong Python experience, including building analytical models or measurement frameworks Experience working with paid marketing data (e.g. Meta, Google, TikTok or similar channels) Experience developing attribution models, incrementality testing or LTV modelling Understanding of marketing measurement within mobile or app-based environments Experience communicating complex analysis clearly to senior stakeholders A proactive and strategic mindset with the ability to influence marketing decision-making BENEFITS The successful candidate will receive a salary of up to £113,000 alongside a bonus and equity package. In addition, you will be joining a highly collaborative environment with strong investment in data, analytics and experimentation, offering significant scope to shape marketing measurement strategy. HOW TO APPLY Please register your interest by sending your CV to Dylan Butcher via the Apply link on this page.

Junior Digital Product Analyst London - 4 days in Office Up to £38000 This is a great opportunity to join a high-growth digital retail group where you will shape how product analytics is done. You will be part of a team building analytics foundations, setting reporting standards, and driving insights across web and app journeys. The Company We are a major multi-brand retail group operating at scale across sports, fashion and lifestyle. With a fast-paced environment and a results-driven culture, we offer exposure to high-traffic digital products and the chance to influence decisions across a broad portfolio. Our continued growth creates strong opportunities for progression and hands-on impact. The Role A junior role where you will use SQL, dashboarding tools and product analytics techniques to analyse digital funnels and build reporting that drives decisions across high-traffic web and app journeys. You will: Build product reporting and dashboards used across the business Analyse customer funnels including checkout, feature usage and on-site journeys Support the development of product analytics foundations and best practices Work with digital, product and commercial teams to provide actionable insights Use SQL and dashboarding tools to track performance across web and app Your Skills and Experience Strong analytical aptitude and logical problem-solving skills Good understanding of digital or website analytics concepts - GA4 Confident using SQL to query and analyse data Experience with a dashboarding tool such as Power BI or Tableau Ability to translate data into clear, insightful recommendations What We Offer Salary up to £38000 Four days per week in central London office Access to a fast-paced digital environment with genuine career progression Opportunities to broaden your analytics skill set across products, brands and platforms How to Apply To register your interest in this Junior Digital Product Analyst role, please apply with your CV.

Are you a Product Analyst who loves understanding user behaviour, running experiments, and helping product teams build better digital experiences? I'm hiring for a Product Analyst role at a well-established consumer platform offering discounts and perks to millions of UK users. The business is scaling internationally and evolving into a more tech-led organisation, giving you massive data, real ownership, and exposure to strategic product work. You'll sit within the central Data function and partner closely with Product Managers to analyse user journeys, run A/B tests, and provide the insights that shape product decisions. This is a hands-on, impact-driven role in a modern data environment with huge opportunities to influence the product roadmap. What you'll be doing Apply quantitative analysis and storytelling to understand how users interact with the platform and what drives behaviour. Use data proactively to uncover opportunities, size problems, and generate hypotheses for testing. Design, run, and analyse A/B tests and experiments in partnership with product teams. Define and track meaningful product metrics; ensure consistent measurement across teams. Build and maintain core data products enabling self-serve insights and faster product decisions. Conduct deep dives into user journeys, drop-off points, behaviour segments, funnel performance, and platform trends. Collaborate cross-functionally with engineers, data teams, product, commercial, and marketing stakeholders. Contribute to the Insights Hub and documentation repositories, keeping analytical knowledge up-to-date. What you bring Must-haves: Strong SQL skills (non-negotiable). Hands-on experience with product analytics in a tech or consumer-app environment, ideally companies like Monzo, Deliveroo, Just Eat, marketplaces, or membership/loyalty platforms. Experience running and evaluating A/B tests and experimentation frameworks. Ability to translate business problems into analytical tasks and communicate clear, actionable insights. Strong storytelling ability, turning numbers into narratives Good to have: Experience working with large-scale customer behaviour datasets. Experience in consumer tech, fintech, loyalty platforms, or other high-traffic digital products. Python/R/dbt exposure (not required). Industry background: While open, the strongest fits tend to come from tech-first consumer products where experimentation, app behaviour insights, and funnel optimisation are standard ways of working. The culture & offer A modern, data-mature environment with over four million UK users and expanding globally. A product-led organisation investing heavily in experimentation and user behaviour analytics. Private equity backing driving international expansion and new capabilities. FTC with benefits , strong likelihood of multi-month extension. Salary up to £85k depending on experience. Offices in London and Leicester - ideally 1-2 days per week but flexible.

Data Lead Kent (Hybrid) , £45,000 to £50,000 plus benefits This is a great opportunity to take ownership of data strategy within a forward-thinking digital environment. You will play a key role in shaping how data, tracking, and insights drive smarter marketing decisions, all while developing your expertise in an organisation that values innovation, collaboration, and continuous learning. The Company They are a fast-growing digital business that partners with a wide range of brands to deliver measurable marketing impact. Data underpins everything they do, and they are investing heavily in improving their tracking, reporting, and analytics capabilities. You will join a team that encourages new ideas, empowers people to lead change, and supports professional development at every step. The Role You will take the lead on developing and delivering high-quality data solutions across marketing and digital analytics projects. Your responsibilities will include: Translating business and marketing objectives into clear data strategies. Building measurement frameworks, tracking solutions, and robust data audits. Creating dashboards and reports using tools such as Google Sheets, Looker Studio, and Supermetrics. Advising on tagging, audiences, UTMs, and best-practice implementation. Driving innovation by identifying new processes and tools to enhance performance. Supporting knowledge-sharing across the business and delivering both internal and external training. Working closely with teams and clients to ensure insight is integrated into wider marketing activity. Your Skills and Experience Strong commercial experience in digital analytics, tracking, or data insights. Confident using analytics and reporting tools such as Google Analytics, Looker Studio, Google Tag Manager, and spreadsheet platforms. Comfortable translating complex data into clear, actionable insight. Excellent communication skills and strong attention to detail. A collaborative mindset with the ability to problem-solve and manage workloads effectively. A proactive interest in data-led marketing and emerging analytics technologies. What They Offer Salary between £45,000 and £55,000 depending on experience. A supportive and inclusive culture focused on learning, growth, and innovation. Opportunities to lead projects, shape new processes, and contribute to service development. Hybrid working and a strong commitment to employee wellbeing. How to Apply If this role sounds like the right next step for you, apply now with your CV.

Ecommerce Trading Manager London, Outside IR35, £500-600 Day Rate This is an opportunity to take on a high-impact trading assignment where you will sit at the centre of commercial decision-making. You will assess performance objectively, ensure spend is deployed effectively, and highlight where plans are not delivering so the business can act quickly. The Company They are a fast-paced digital platform operating in a competitive marketplace where commercial performance is critical. Marketing, analytics, and trading are well established and continuing to grow. You will join a trading function that partners closely with cross-functional teams to ensure activity delivers measurable impact. The Role and Deliverables Take ownership of the holistic trading plan and assess whether performance meets commercial expectations. Hold teams accountable by providing an objective, standback view of delivery and spend effectiveness. Identify where activity is not working, diagnose why, and drive clear corrective action. Ensure marketing and operational teams are doing their part of the wider trading picture. Review performance data to highlight risks, gaps and opportunities. Communicate findings in a clear, factual and commercially focused way to senior stakeholders. Your Skills and Experience Strong experience in ecommerce trading or commercially led roles within a digital or platform environment. Ability to take a high-level, objective view of performance with a focus on commercial outcomes. Confidently challenging channel performance and guiding teams to improve delivery. Comfortable interrogating data and insight to understand what is and is not driving results. Clear communicator who can influence stakeholders and present fact-based assessments. Proactive and curious, comfortable in a fast-paced trading environment. How to Apply If you are a commercially focused Ecommerce Trading Manager who thrives on diagnosing performance and driving action, please apply with your CV.