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Experience Level
Manager
Qualifications
Proven experience in digital analytics, particularly with Adobe Analytics. Strong problem-solving skills and a passion for data. Ability to translate complex data into actionable insights. Excellent communication and collaboration skills. Experience with data visualization tools is a plus.
About the job
Join Valtech: Pioneers of Experience Innovation
At Valtech, we pride ourselves on being at the forefront of experience innovation, collaborating with some of the world’s most recognized brands. Our team enjoys a culture driven by values, robust growth opportunities, and the chance to shape the future of digital experiences. Here, your contributions will not only foster your professional growth but also make a meaningful impact across various industries.
The Opportunity
As a Lead Digital Analytics Engineer specializing in Adobe Analytics, you will be immersed in a dynamic environment that emphasizes continuous learning and innovation. Your role will involve pioneering cutting-edge digital solutions, challenging conventional methodologies, and crafting the next generation of customer experiences.
About Valtech
Valtech is a global digital agency focused on transforming the way brands connect with their customers. We offer a collaborative and innovative work environment where creativity thrives, ensuring our team members have the resources and support needed to excel in their careers.
Join Wrisk as an Analytics Engineer and play a pivotal role in transforming raw data into actionable business insights. Collaborate closely with our Data Engineering team to manage and optimize the data pipeline, taking complete ownership of the transformation layer. Your expertise will help in designing robust and scalable data models, ensuring they serve a…
Multiverse is leading the charge in upskilling for AI and Tech adoption. We collaborate with over 1,500 companies to deliver innovative learning experiences that are reshaping today's workforce.Our apprenticeships are crafted for individuals of all ages and career stages, aimed at equipping them with essential AI, data, and tech skills. Our learners have generated over $2bn in ROI for their employers by leveraging the skills they've acquired to boost productivity and measurable outcomes.In June 2022, we celebrated a successful $220 million Series D funding round, co-led by StepStone Group, Lightspeed Venture Partners, and General Catalyst, achieving a post-money valuation of $1.7 billion, solidifying our status as the UK’s first EdTech unicorn.Our journey doesn’t end there. With a robust operational presence and over 800 employees, we are ambitiously scaling our impact. We envision a future where tech skills unlock the potential and productivity of individuals.Join Multiverse and contribute to our mission of empowering the workforce to thrive in the AI age.
Join the Best Work of Your Career!As the largest savings platform in Europe, Trade Republic operates across 18 countries, catering to over 10 million customers who trust us with more than €150 billion in assets. Our mission is bold: to empower everyone to build wealth with easy, safe, and free access to financial systems.In this role, you will have the chance to elevate your career by collaborating with a team of exceptional talents and cutting-edge technology, contributing to a brighter financial future for millions.Your Role and ResponsibilitiesCollaborate with product and business stakeholders to define and develop impactful product metrics.Create analytical products, including data models, dashboards, reports, and tools for self-service reporting and analysis.Enhance our evolving cloud-based architecture to optimize cost efficiency and speed, applying software engineering best practices.Take ownership of projects from inception to delivery and adoption, working independently.Qualifications We're SeekingA minimum of 5 years of engineering experience with a strong analytical mindset.Thorough understanding of architectural principles, design best practices, and engineering standards.Experience across all stages of the data pipeline: ingestion, transformation, and mart creation.Familiarity with our tech stack is a plus: S3, Snowflake, Airflow, Python, DBT.Why You Should Apply TodayOur culture values ownership, excellence, and high energy. We are committed to achieving results and holding one another accountable. Join us in tackling one of Europe's most significant challenges: closing the pension gap and democratizing wealth. If this excites you, we want to hear from you!
Join Deliveroo as a Senior Analytics Engineer and play a pivotal role in transforming data into actionable insights that enhance our services. You will collaborate with cross-functional teams to design and implement robust analytical solutions, driving strategic decisions that shape the future of food delivery.
Relay is revolutionizing the logistics landscape for the digital age. With a record-breaking $35M Series A funding, the largest in European logistics history, and support from innovative investors like Plural, Relay is outpacing 99.98% of its venture-backed peers. We are on a quest to build the most skilled team the logistics industry has ever seen.Our Mission is to eliminate friction in commerce. Currently, exorbitant delivery costs serve as a hidden barrier to online shopping, shaping what can be sold online and who can engage in it. We aspire to create a world where more goods can move freely among more people, enhancing the online shopping experience for all.THE TEAM• Comprising approximately 110 professionals, with over 50% in engineering, product, and data roles.• Home to 45+ advanced degrees in fields like computer science, mathematics, and operations research.• We analyze thousands of data points for every parcel we handle.• Our culture thrives on first-principles thinking, rapid feedback, and continuous experimentation.The OpportunityAt Relay, our operations are driven by data that informs the journey of every parcel, from entry into our system to delivery at the customer's door. Our data infrastructure supports real-time operational decisions, strategic insights, and networks of autonomous AI systems.We are seeking a Senior Analytics Engineer to join our Last Mile squad, which is our largest and data-richest team. Your contributions will be vital to enhancing key workflows that drive our Last Mile marketplace.This is an exciting time to join as we rapidly expand our network across the UK.Who Will Succeed in This Role?Design and Develop Core Data Models - Collaborate with engineers and business leaders within the Last Mile squad to create and implement foundational data models that support analytics, data science, and AI workflows.Establish Foundations for Key AI Systems - As our Last Mile marketplace grows increasingly intelligent, you will play a crucial role in managing the inputs that drive these systems.Ensure Data Quality - Implement robust testing, monitoring, and alerting mechanisms to maintain high data integrity across our systems.
Full-time|£92.8K/yr - £115K/yr|Hybrid|Bristol, England, United Kingdom; Edinburgh, Scotland, United Kingdom; London, England, United Kingdom
Job Title: Engineering Manager - Data Platform & Analytics Engineering Location: London, Bristol or Edinburgh (Hybrid options available) Salary: £92,800 - £115,000 Reporting to: Head of Data Science & Products Eligibility: Must have the right to work in the UK; visa sponsorship is currently not available. Kaluza is at the forefront of reshaping the energy landscape through our Energy Intelligence Platform. We empower energy companies to navigate the complexities of modern energy demands while driving the transition to a sustainable, electrified future. Utilizing cutting-edge Data, AI technologies, and real-time decision-making, we convert energy challenges into growth opportunities for our partners. Our innovative approach combines predictive algorithms with user-centric design, ensuring that clean energy remains reliable and affordable. With a diverse team spanning Europe, North America, Asia, and Australia, and a strategic partnership with Mitsubishi Corporation in Japan, we are proud to support industry leaders such as OVO, AGL, and ENGIE, along with pioneering companies like Volvo and Volkswagen. Join the Kaluza Data Community: Data is pivotal to our mission, and we seek curious minds who can transform data into actionable insights and strategies. You will be instrumental in enhancing the Kaluza platform, a pioneering technology designed to revolutionize energy retail operations globally, with a focus on regional adaptability and decarbonization efforts.
About Checkout.com Checkout.com powers online payments for major brands including eBay, ASOS, Klarna, Uber Eats, and Sony. The company processes billions of transactions each year through its global network, supporting businesses with reliable, seamless payment solutions. Headquartered in London, Checkout.com operates from 19 offices across six continents and brings together a diverse team focused on innovation and continuous growth. Role Overview: Data Analytics Engineer The Data Analytics Engineer will drive insight into product performance and help establish a single source of truth for key business metrics. This role works closely with product managers and data scientists, shaping the product roadmap and supporting enhancements through data. The position covers the full data product lifecycle, from initial concept to implementation and ongoing operations, with a focus on building new analytics capabilities. What You Will Do Design and deploy high-performance, reusable data models for the data warehouse using dbt and Snowflake. Build and maintain Looker structures (such as explores and views) to support self-service analytics across the organization. Work with data analysts and business teams to collect requirements and deliver data optimized for analysis and reporting. Identify, transform, test, deploy, and document data sources and models on a regular basis. Promote strong data governance, including data quality, thorough documentation, coding standards, and peer reviews. Continuously improve analytics engineering workflows and platforms for greater efficiency and effectiveness. Location This position is based in London.
About Checkout.com Checkout.com is a global payment solutions provider, trusted by brands such as eBay, ASOS, Klarna, Uber Eats, and Sony. The company streamlines online checkout, making transactions smooth for businesses around the world. With headquarters in London and 19 offices across six continents, Checkout.com supports billions of transactions each year. The team focuses on making digital payments reliable, helping businesses grow and keeping customers satisfied. Role Overview: Senior Analytics Engineer Based in London, the Senior Analytics Engineer will drive insights into product performance and create a single source of truth for key metrics. Working closely with product managers and data scientists, this role helps shape the direction of Checkout.com's products. The position involves designing and launching new data products, with responsibility for the full lifecycle, from initial concept to implementation and ongoing operations. What You'll Do Build high-performance, reusable, and scalable data models for the data warehouse using dbt and Snowflake. Design and develop Looker structures (explores, views, and more) to enable self-service analytics across the company. Work with data analysts and business teams to understand needs and deliver analysis-ready data. Continuously discover, transform, test, deploy, and document data sources and models. Support and help define data warehouse governance, focusing on data quality, testing, documentation, coding best practices, and peer reviews. Identify ways to improve and optimize analytics engineering workflows and platforms. Location This position is based in London. Learn more about Checkout.com at Checkout.com.
Recursion Pharmaceuticals combines artificial intelligence, automation, and scientific expertise to rethink drug discovery. The Senior Analytics Engineer in London connects complex chemical data with the systems that drive discovery, shaping tools and infrastructure for computational designers and medicinal chemists. This work supports informed, data-driven decisions throughout discovery programs. This position advances analytics and automates the platform, helping to close the Design-Make-Test-Learn (DMTL) loop and speed up design cycles. The role carries responsibility for the analytical ecosystem, including the Spotfire library, data schemas, and automation services. The main goal is to turn complex data into actionable insights to improve the platform and accelerate Recursion’s mission to decode biology and improve lives. What you will do Develop and maintain integrated project dashboards that align assay results with portfolio data for design teams. Code and manage repositories for Spotfire automation and BigQuery integration to streamline data flow across the discovery lifecycle. Design and refine metrics and predictive modeling workflows to guide next-best design choices and track project progress. Create automated reporting pipelines that surface critical signals, enabling teams to respond quickly to new scientific findings. Collaborate across functions to turn strategy into scalable analytical tools, using adoption metrics to prioritize impactful features. Define and evaluate metrics for product success, tool adoption, and scientific impact, helping teams focus on priorities that accelerate drug discovery. Identify opportunities for innovation in analytics maturity and implement solutions that modernize data interactions for scientists. Contribute to the development of advanced analytical methods and tools to strengthen overall analytical capabilities.
ClearScore Technology Limited is hiring a Senior Analytics Engineer in London. This position centers on developing and refining data products that influence company decisions and enhance the experience for users. Key responsibilities Design and build analytical models and reporting tools in partnership with engineering and other teams. Translate business requirements into effective data solutions that align with company objectives. Apply analytics to deliver insights that inform product and business strategies. Recommend improvements to user experience based on data-driven analysis. Collaboration and impact This role works closely with cross-functional teams throughout ClearScore. The work done here directly shapes company direction and the way users are served.
Full-time|£40K/yr - £80K/yr|Hybrid|Bristol, England, United Kingdom
Salary: £40k - £80k Join Methods Analytics (MA) as a Data Engineer and play a pivotal role in shaping our data architecture and analytics capabilities. We are seeking a skilled Data Engineer to join our dynamic team on a permanent basis. This position allows for primarily remote work, with occasional travel required to client sites and our offices located in London, Sheffield, and Bristol.Your Responsibilities:Lead the technical aspects of data engineering projects, mentoring junior and intermediate engineers.Design and architect cutting-edge data solutions that align with organizational goals and technical needs.Create and implement sophisticated ETL/ELT pipelines.Develop scalable, high-performance data solutions utilizing cloud platforms and open-source technologies.Construct data models to meet enterprise-level analytical demands.Make key technical decisions regarding tools, frameworks, and methodologies for complex data issues.Optimize large-scale data processing systems for both performance and cost-effectiveness.Establish robust data quality frameworks and monitoring solutions.Assess new technologies to enhance our data engineering capabilities.Collaborate with stakeholders to translate business needs into technical specifications.Present technical solutions effectively to both leadership and non-technical stakeholders.Contribute to the advancement of the Methods Analytics Engineering Practice by engaging in our community of practice.Your Impact:Empower business leaders to make informed, confident decisions through accurate and timely data insights.Promote the adoption of innovative data architectures and platforms.Deliver seamless data solutions that enhance user experience.Elevate the technical expertise of the entire data engineering team.Foster a data-driven culture within the organization.Establish technical standards and best practices to ensure quality and maintainability.
Who We Are:At tem, we are revolutionizing the energy transaction landscape, making it both transparent and equitable.Our mission is to empower customers by addressing one of the most pressing challenges of our time: ensuring access to affordable electricity.tem is dedicated to rectifying a fractured global energy market that has traditionally favored legacy operators, intermediaries, and non-transparent pricing structures. The current electricity system was not designed to support rapid decarbonization, AI-driven efficiencies, or fair access for users—be they businesses or energy generators.We have pioneered the first AI-native transaction infrastructure, reimagining the process of buying, selling, and pricing electricity. Our technology aims to eliminate unnecessary fees, automate complex market flows, and foster transparency and fairness in energy transactions on a large scale.Recently, we achieved a significant milestone by closing a $75 million Series B funding round, led by Lightspeed Venture Partners and supported by Atomico, Allianz, Hitachi Ventures, Schroders Capital, and others. This positions us for global expansion, innovation in our product offerings, and leadership in our category.As we continue our international scaling, we envision a future where AI-driven infrastructure becomes fundamental to electricity markets globally.Since our launch, our modern utility product known as RED has already facilitated thousands of business customers and billions in energy transaction value, demonstrating that advanced software and AI can transform an industry rooted in outdated systems.At tem, we’re not merely creating another energy company; we’re fundamentally redesigning market infrastructure to make transparency, efficiency, and sustainability the norm rather than the exception. The Role:We invite you to join us as a Staff Analytics Engineer to help establish and enhance the analytics foundation of our dynamic startup.As part of a small data team, you will engage in developing the analytics layer from the ground up: crafting core data models, establishing trusted metrics, and creating patterns that empower the entire organization to leverage data confidently. This is a hands-on, individual contributor role (with no people management responsibilities) that offers significant technical ownership and influence.You will primarily utilize dbt for data transformations and Omni as our semantic and analytics layer, collaborating closely with teams in Marketing, Finance, Operations, and Data Engineering. In your initial months, you’ll become well-acquainted with our data warehouse and dbt project, start delivering production-ready models, and take ownership of at least...
Lead Analytics EngineerDataProlificAt Prolific, we are pioneering the future of AI by building a robust human data infrastructure that is transforming AI development. In an era where AI technologies are becoming commonplace, the uniqueness and quality of human-generated data set our solutions apart in the marketplace.The RoleAs a Lead Analytics Engineer within our Data Infrastructure Team, you will play a critical role in evolving and sustaining Prolific's data architecture. Your expertise will be vital in re-engineering and expanding our data stack, ensuring our data pipelines are robust, efficient, and reliable. By taking ownership of and refining our analytics codebase, you will enable our BI teams to extract meaningful insights for the entire organization, while also enhancing data accuracy and accessibility. You will act as a conduit between technical and non-technical stakeholders, ensuring that intricate data solutions are comprehensible and align with business objectives.What You’ll Bring to the RoleProficiency in dbt & SQL: Extensive experience in dbt and SQL for the design, construction, and maintenance of scalable data models.Strong analytical mindset with the ability to troubleshoot and optimize complex data systems.Excellent communication skills to convey technical concepts to non-technical audiences.
About WPP MediaWPP is a trusted growth partner for premier brands worldwide. Combining exceptional talent, reliable data, and strategic partnerships through our innovative marketing platform, WPP Open, we assist clients in navigating change, seizing opportunities, and achieving transformational growth.As the AI-driven media operating unit of WPP, WPP Media integrates media, data, and partnerships to offer large-scale creative personalization. With WPP Open and powered by Open Intelligence, clients gain clear insights into the effectiveness of their media investments.For further details, visit wppmedia.com.Role Overview and ImpactBecome part of an award-winning team at the forefront of UK government initiatives, where your contributions will truly make a difference. In WPP 650, you will thrive in a supportive and collaborative environment that cherishes curiosity, kindness, and personal growth. Together, we leverage behavioral change principles to design smarter services, influence better decision-making, and positively impact millions across the nation.Named WPP 650, after the 650 UK parliamentary constituencies, our mission is to ensure that our work resonates with the diverse communities and audiences across the country. Every day presents new challenges and opportunities for learning. You'll engage with complex issues that matter, alongside talented colleagues who are deeply passionate about their work. It's a demanding role, but the rewards are immense.This is meaningful work with a tangible impact that you can take pride in.Analytics Manager - GovernmentWe aim to revolutionize marketing by developing the quickest and most interconnected data platform that links marketing strategies to scaled activation. Collaborating with agencies and clients, we enhance the value of data by integrating technology, analytics, and data capabilities. This is delivered through the Open Media Studio, our AI-enabled media and data platform designed for the future of advertising. Our team, consisting of over 1,000 analytical thinkers, builders, creators, and problem solvers, spans across 20 global markets.Our Analytics capabilities in the UK are crucial to our success, empowering WPP Media’s clients with a comprehensive range of analytics services that generate measurable impact. This role is situated within the broader WPP Media Analytics framework, leveraging the specialized expertise of modeling, analytics consultancy, and more.
Join Aircall, a leading unicorn in the realm of AI-powered customer communications, where over 22,000 businesses globally harness our platform to enhance revenue, expedite issue resolution, and scale their customer-facing teams. We are transforming the communication landscape by integrating voice, SMS, WhatsApp, and AI into a cohesive workspace.Our growth is driven by a core philosophy: enable teams to work smarter, not harder. With our AI Voice Agent automating routine calls, AI Assist optimizing post-call tasks, and AI Assist Pro providing real-time insights, our solutions empower teams to achieve higher revenue and faster resolutions.Headquartered in Paris, with a robust presence in North America through our Seattle office, and teams across cities like Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City, Aircall has created a product that delights customers and a business model that scales rapidly, fueled by our commitment to innovation in AI across various product lines.At Aircall, you will be part of an ambitious, product-focused, and execution-driven team. We value visible impact, swift decision-making, and genuine growth.Our Work Culture: We are dedicated to understanding our customers, leveraging data meticulously, and striving for substantial outcomes. We champion ownership, continuous learning, and thoughtful execution. If you excel in a collaborative and dynamic environment where trust and impact are paramount, you will thrive here.We seek a passionate and dedicated Senior Data Engineer to become an integral part of our expanding Engineering Team. In this pivotal role, you will oversee our analytics and event platform stack.As a vital member of the Analytics & Data Platform team, your contributions will serve over 22,000 customers worldwide. Your efforts will unlock valuable data insights, enabling our clients to make informed decisions through real-time analytics, monitoring, and detailed reports.
Role overview Jobgether is looking for a Business Intelligence Engineer with a focus on Data Programming & Analytics. Based in the UK, this position blends data engineering, business intelligence, and market analytics to produce insights that inform both strategic and commercial choices. What you will do Transform large datasets into structured, automated, and reusable reporting frameworks. Develop scalable data pipelines that meet evolving business requirements. Create reliable data models to tackle complex business problems. Improve the efficiency and consistency of reporting for index-related intelligence in global markets. Collaborate with teams from Sales, Product, Finance, Research, and Legal to generate actionable insights. Contribute to data-driven decision-making throughout the organization. Requirements Strong programming background and hands-on experience with data engineering tools. Proven ability to design and implement automated reporting solutions. Comfort working with cross-functional teams to address business challenges using data. Experience converting complex datasets into clear, actionable intelligence. Location This role is based in the United Kingdom.
Who We AreAt The Economist Group (TEG), we are dedicated to advancing progress through a commitment to innovation, independence, and rigorous analysis. Our mission is to empower individuals and organizations to understand and navigate the critical challenges facing the world today. With our analytical expertise and evidence-based insights, we provide clarity amidst change.We deliver valuable analysis and insights to clients and subscribers in 170 countries through our four core businesses: The Economist, Economist Impact, Economist Intelligence, and Economist Education. Each of these businesses upholds our esteemed reputation for excellence and integrity.In our pursuit to prepare the Data, Research & Insight (DRI) function for an AI-driven future, we are seeking an Analytics Engineering Manager. This key role will lead data enablement within the Insight Products team, ensuring that high-quality, well-governed data is accessible for their use and that of their stakeholders.This position serves as a crucial link between raw data infrastructure and end-user insight products. You will facilitate the democratization of data by providing high-quality requirements to our central Data Engineering team while also leading your own team in executing essential data engineering tasks to expedite delivery. You will play a pivotal role in the development of next-generation Insight Products, including AI-powered analytics agents and customized applications.Direct Reports: 3 Technical Business Analysts, 2 Analytics EngineersMeasures of SuccessQualitative:Data Trust: Enhance organizational confidence in data through superior governance, observability, and documentation.Seamless Collaboration: Foster effective working relationships with the Business Intelligence (BI) Manager and central Data Engineering to maintain a robust data supply chain.Community Support: Provide a solid technical foundation that enables decentralized users to successfully self-serve.Quantitative Measures:Delivery Velocity: Achieve a significant reduction in time-to-market for new data products, powered by AI-assisted development.
Join Monzo as a Lead Analytics Engineer in our Borrowing team! In this pivotal role, you will leverage data to drive impactful decisions and enhance our lending products. Collaborate with cross-functional teams to develop data-driven strategies that optimize user experience and operational efficiency.As a key member of our analytics team, you will be responsible for analyzing large datasets, building predictive models, and presenting insights to stakeholders. Your expertise will guide the evolution of our borrowing services, ensuring they meet the needs of our customers while aligning with business objectives.
Full-time|£40K/yr - £60K/yr|Remote|Bristol, England, United Kingdom
Salary: £40,000 - £60,000Join Methods Analytics (MA) as a Data Engineer and be a part of our dynamic team on a permanent basis. This position primarily offers remote work flexibility, but candidates must be open to travel to client sites and our offices located in London, Sheffield, and Bristol.Key Responsibilities:Collaborate with cross-functional teams, simplifying complex technical concepts for non-technical stakeholders.Engage with a dynamic delivery team to transform raw data into actionable insights.Design and implement efficient ETL and ELT pipelines utilizing tools like Python, SQL, and Apache Airflow.Develop scalable data solutions utilizing cloud platforms and technologies.Create and maintain sophisticated data models using dimensional modeling techniques for robust data analysis and reporting.Adhere to best practices in data governance, security, and compliance to uphold data integrity.Ensure data quality through rigorous QA processes and continuous optimization of data queries.Build intuitive dashboards that provide stakeholders with actionable insights.Monitor and enhance the performance of data solutions for improved reliability and functionality.Stay updated with industry trends and continuously improve skills with the latest data engineering tools and methodologies.Contribute to the Methods Analytics Engineering Practice by being an active member of our internal community.Your Impact:Empower business leaders to make informed decisions backed by timely and accurate data insights.Facilitate the adoption of modern data architectures and platforms.Deliver seamless data solutions that enhance user experience.Foster a data-driven culture within the organization.
Role Overview Future plc, a leader in digital media, relies on data to shape the experiences delivered by brands such as Tom's Guide, Marie Claire, PC Gamer, and CinemaBlend. The Senior Analytics Engineer will play a central role in moving from raw data systems to organized Data Products that become the trusted source for insights across the company. This position focuses on building and documenting Data Products that support Looker dashboards, machine learning models in Vertex AI, and conversational analytics tools. The goal: make data accessible, reliable, and actionable for teams across Future plc. What You Will Do Data Modeling and Transformation: Lead the design and rollout of advanced data transformation pipelines using Dataform, turning raw data into scalable, production-ready Data Products. SQL Architecture: Rework existing business logic into modular, scalable SQL code that captures institutional knowledge and supports company growth. Cross-Functional Collaboration: Partner with BI, Data Engineering, and Data Science teams to translate business needs into structured data schemas and maintain alignment. Engineering Best Practices: Promote strong software engineering practices within analytics, including version control with GitLab, code reviews, and improvements to CI/CD processes. Project Leadership: Manage the full data product lifecycle with tools like Jira, ensuring transparency and impact from project start to production. Data Quality and Reliability: Set and uphold standards for data quality by implementing automated testing frameworks and observability systems. Data Lineage and Documentation: Create and maintain thorough documentation of data sources and transformations, enabling technical teams to work confidently with data assets.
