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Experience Level
Senior
Qualifications
Qualifications:Proficient in SQL and data modelingExperience with analytics tools and data visualization platformsStrong analytical skills and attention to detailAbility to communicate complex data insights clearlyExperience in a similar role or relevant field
About the job
About Moneybox
Moneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.
Job Overview
Join our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.
About Moneybox
Moneybox is a revolutionary app that simplifies financial management by combining multiple services into one convenient platform, making it easier for users to manage their finances effectively and achieve their goals.
About MoneyboxMoneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.Job OverviewJoin our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.
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.
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.
About UsPerk, previously known as TravelPerk, stands as a pioneering platform for travel and expense management. Our innovative solutions are designed to eliminate the tedious, manual tasks that hinder productivity. We automate everything from travel arrangements to expense management and invoice processing, helping businesses reclaim valuable time and foster a more engaged workforce.With over 10,000 global clients, including industry leaders like Wise, On Running, and Breitling, we are committed to addressing the 7 hours of lost productivity per employee each week, a staggering $1.7 trillion issue.Founded in 2015, Perk has expanded to a diverse team of more than 1,800 employees across 12 offices worldwide, with our headquarters situated in London and Boston. Our mission is to innovate and simplify the workplace, enhancing the way businesses operate and how employees feel about their work.At Perk, our values drive us—ownership, delivering a 7-star experience, and collaboration are at our core. We champion curiosity and purpose, believing in the potential of every team member. Our talent acquisition team consists of top professionals from the travel and SaaS sectors, representing over 70 countries. If you are eager to make a significant impact and redefine the work experience for millions, we invite you to join us.Learn more about us at www.perk.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.
Join Zopa as a Senior Analytics Engineer and play a pivotal role in leveraging data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement data solutions that enhance our analytics capabilities. If you are passionate about data engineering and possess a strong analytical mindset, this is the perfect opportunity for you.
Join Zoopla as a Senior Analytics Engineer and play a pivotal role in driving data-driven decisions across our innovative team. You will leverage your expertise in analytics, data modeling, and visualization to enhance our product features and improve user experience. Your contributions will directly impact how we serve millions of customers seeking their perfect home.
About Titan Wealth Titan Wealth is a growing wealth management firm based in London, serving clients in the UK and internationally. The company focuses on building a more equitable and efficient business model to deliver advice-driven wealth management services. Titan Wealth supports financial advisers and their clients in reaching their financial goals. Work Culture The team values both individual initiative and collaboration. Employees are encouraged to contribute ideas and work together to achieve strong results for clients over the long term. Role Overview: Senior Analytics Engineer This position sits within the wealth management division and works closely with the central data team. The Senior Analytics Engineer will shape, model, and analyze data that supports decision-making across advisory, investment, operations, and client service teams.
Join Our Team at Capi!Capi is on a mission to revolutionize the financial infrastructure for emerging market trade.With over $18M in funding from esteemed investors such as Creandum, Y Combinator, and General Catalyst, along with support from industry leaders at Revolut, Checkout, Stripe, and Remitly, we are committed to creating a fair and accessible global financial system.Our goal is to stimulate GDP growth in emerging markets by simplifying the global trade process, enabling importers to efficiently pay international suppliers. Our innovative platform empowers businesses to scale swiftly, generate employment, and drive economic prosperity in their nations.We are a diverse team of approximately 100 talented individuals across 10 countries, united by a passion for making a tangible impact in the world. We invite you to become part of our ambitious team!Explore Capi’s mission & values.Role Overview:As an Analytics Engineer at Capi, you will play a pivotal role in our data-centric approach, driving strategic decisions and enhancing product development through insightful data analysis. This unique position allows you to bridge the gap between data engineering, product development, and business operations in a dynamic fintech environment.Your responsibilities will include architecting and managing our data models and pipelines, creating user-friendly dashboards for targeted business verticals, and serving as a trusted data partner for various stakeholders throughout the organization.This cross-functional role will report directly to the Head of Finance and involve close collaboration with leadership and teams across Finance, Growth, Product, Engineering, Treasury, and Operations to ensure all decisions are informed by accurate and accessible data.
Join birdie as an Analytics Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you'll collaborate with cross-functional teams to design and implement robust data pipelines and analytical models that drive decision-making processes across the organization.Your expertise in data analysis and engineering will enable you to enhance our analytics capabilities and ensure data integrity and accessibility. This is an exciting opportunity for a data enthusiast ready to make an impact in a fast-paced environment.
Why Choose Valtech?At Valtech, we pride ourselves on being a leader in experience innovation, partnering with some of the world's most recognized brands. We provide our employees with abundant growth opportunities, a values-driven culture, and the chance to shape the future of customer experiences.The OpportunityJoin us at Valtech, where we foster an environment conducive to continuous learning, impactful contributions, and professional development. Whether you are innovating digital solutions, challenging traditional paradigms, or crafting the next generation of customer experiences, your contributions will be crucial in transforming industries.
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!
Job DescriptionJoin Abtrace, a pioneering venture-backed company dedicated to enhancing primary care through innovative software solutions. Our cutting-edge product identifies critical health signals, ensuring timely interventions across over 500 practices and supporting 6 million patients. We harness advanced analytics, user-friendly data visualizations, and robust data pipelines to empower healthcare professionals and transform the future of healthcare.Role OverviewWe are in search of a versatile Analytics Engineer who can seamlessly integrate business intelligence, data analysis, and data engineering. In this role, you will develop dynamic dashboards, analyze intricate healthcare datasets, and construct scalable data models utilizing Power BI, SQL, and contemporary data tools, thereby driving informed decision-making throughout the organization.Key ResponsibilitiesDevelop and maintain Power BI dashboards, reports, and interactive visualizations to facilitate business decision-making.Design and implement efficient data models to support robust reporting and analytics while ensuring high data quality and integrity.Collaborate with stakeholders to gather requirements, define metrics, and convert business needs into technical solutions.Work closely with cross-functional teams (product, operations, clinical) to ensure data solutions align with business objectives and healthcare regulations.Monitor data quality and governance to maintain compliance with healthcare data security and privacy standards.Identify opportunities for process improvements to enhance data accessibility, performance, and reliability.
About Pleo Pleo builds tools that help finance teams and employees manage business spending with less friction. For over ten years, the company has focused on solutions that move beyond traditional spend management, aiming to make financial processes simpler and more effective. Today, more than 40,000 customers use Pleo’s products to manage their finances. With a team of over 850 professionals representing more than 100 nationalities, Pleo values diverse perspectives and collaborative problem-solving. The company’s culture encourages curiosity, respect, and a willingness to tackle challenges together, even when not all the answers are clear from the start. Role Overview: Analytics Engineer (Mid-Level) This Analytics Engineer role sits within the Critical Data Products (CDP) team in London. The CDP team is responsible for building and improving high-quality data solutions that support Pleo’s data-driven products and operations. The focus of this position is to design, develop, and optimize data models, semantic layers, and data structures that power business-critical data pipelines. Success in this role means translating complex requirements into scalable, maintainable models that support decision-making throughout the organization. Candidates who enjoy simplifying complexity and working in a product-oriented, data-centric environment will find this role a strong fit. Team and Collaboration The Analytics Engineer will report to the Manager of the CDP team, which operates within the Product Hub of the Data department. The CDP team brings together specialists in Data Analytics, Data Engineering, and Analytics Engineering. Together, they deliver essential data pipelines, dashboards, reports, and strategic insights for teams across Pleo, including KYC/Compliance, Financial Crime, Credit, Banking Infrastructure, Regulatory Reporting, and multiple product groups. In addition to technical delivery, the team provides data enablement guidance and supports a wide range of initiatives that help drive Pleo’s business forward. Application Details Application deadline: Wednesday, April 29, 09:00 BST. Applications will not be reviewed before this date to ensure fairness for all candidates. Take the time needed to thoughtfully complete your application.
About SwapAt Swap, we are revolutionizing the world of agentic commerce through our innovative AI-native platform, which seamlessly integrates backend operations with a cutting-edge storefront experience. Designed for brands eager to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables strategic decision-making with real-time data insights. Our diverse product offerings include solutions for cross-border transactions, tax compliance, returns management, demand planning, and our next-generation storefront, empowering merchants with transparency and confidence in their operations.We are committed to fostering a workplace culture that prioritizes clarity, creativity, and shared ownership as we transform global commerce.About the RoleWe are seeking a dedicated and pragmatic Lead Analytics Engineer to join our Analytics Engineering team, playing a pivotal role in scaling our data infrastructure for a new era at Swap. This leadership position offers significant ownership and the opportunity to directly influence the development and implementation of a modern, scalable data architecture. You will be responsible for leading the creation and upkeep of the data models that drive our business operations, from delivering internal insights for Sales and Finance to providing reliable data sets for our customer-facing systems.We are looking for a hands-on leader who is enthusiastic about steering our high-quality dbt project, defining our analytics vision, and mentoring the team as we expand our data models and capabilities. If you excel in a dynamic, collaborative environment and are eager to make a substantial impact, we would be thrilled to hear from you!Key Responsibilitiesdbt Project Leadership: Spearhead the technical vision, architecture, and expansion of our dbt project, establishing development best practices, CI/CD standards, and ensuring high code quality across the team.Strategic Data Modeling & Architecture: Lead the strategic design and maintenance of a robust, scalable, high-performance core data warehouse (fact and dimension models) that serves as the authoritative source for all critical business functions and data products.Data Governance & Quality: Implement and uphold advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data integrity and reliability at scale.Cross-Functional Data Strategy: Act as a vital strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into actionable engineering requirements, and managing the delivery roadmap.
At Intercom, we are revolutionizing customer service through innovative AI solutions, dedicated to enhancing customer experiences for businesses worldwide.Our flagship AI agent, Fin, is the most sophisticated customer service AI available, enabling businesses to provide seamless, round-the-clock support. When paired with our Helpdesk, it becomes part of the comprehensive Intercom Customer Service Suite, tailored to manage complex queries requiring human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses globally, setting a new benchmark in customer service. Our core values drive us to push boundaries, innovate rapidly, and deliver outstanding value consistently.What Awaits You?Join our AI Group at Intercom, where you will play a pivotal role in shaping new machine learning features, conducting algorithm research, and swiftly launching prototypes for our clients.Our product-driven team of over 50 ML scientists, engineers, designers, and researchers collaborates across various departments, ensuring we push to production rapidly, often launching beta versions within weeks of successful testing.We are committed to continuous improvement through experimentation and analyzing the performance of our AI features. Utilizing both frequentist and Bayesian methods, we create insightful dashboards and delve into complex user interactions to enhance user success. Navigating the stochastic nature of AI products poses challenges that we rigorously tackle.We are on the lookout for a passionate Analytics Engineer to join our AI Group and contribute to our mission.
About UsNALA is revolutionizing global payments for the next billion people, providing faster, smarter, and fairer transfer solutions for everyone. Since our inception in 2022, we have experienced an extraordinary growth of 120x, expanded our team from 9 to over 150 professionals, secured $50M+ in funding from leading investors, and earned a spot in the prestigious Forbes Fintech 50 in 2025.We deliver two key products:NALA, our consumer app, enables affordable, quick, and reliable cross-border payments for the global diaspora, facilitating money transfers from the UK, US, and EU to Africa and Asia.Rafiki, our B2B payments infrastructure, powers seamless global transactions.Our dynamic team comprises alumni from renowned companies like Wise, Stripe, Monzo, Revolut, and CashApp—experts who have successfully scaled world-class products. We embody a culture of urgency, deep thinking, and unwavering customer focus.At NALA, this is more than just a job; it’s about taking ownership, making an impact, and redefining global payments for the better.Join us in our mission to create Payments for the Next Billion. Your MissionAs a Senior Analytics Engineer, you will take charge of enhancing and maintaining NALA's data transformation layer—the backbone for all reporting, governed metrics, self-service analytics, and AI-driven functionalities. Your contributions will enrich the semantic context, structure, and governance of our data, ensuring that every model is comprehensively documented, tested, and interpretable by both humans and AI systems. With the rise of agentic analytics, your role is crucial in ensuring that NALA's data infrastructure is adequately prepared. Your Responsibilities in this RoleOversee the transformation layer (dbt + Snowflake), implementing best practices and advancing our data stack to achieve excellence.Manage streaming data pipelines alongside batch transformations, guaranteeing reliable and cost-effective real-time data flows integrated into the overall data architecture.Establish and uphold coding and agentic coding standards, ensuring systematic testing and documentation are default practices across all data models.Optimize warehouse performance and cost efficiency by identifying and rectifying query patterns and materialization decisions leading to unnecessary expenditures.Lay the groundwork for AI-enhanced self-service capabilities by developing robust data models and interfaces.
About MoneyboxMoneybox is an award-winning financial app designed to help you transform your financial journey. We seamlessly integrate saving, investing, home-buying, and retirement planning into one user-friendly platform, empowering you to achieve your financial aspirations and build wealth, regardless of your starting point.Job OverviewJoin our Data and Insights team, where we cover a diverse range of functions including analytics engineering, reporting, insightful analysis, decision-making, data science, and machine learning. Our mission is to provide comprehensive understanding of customer behaviors, app interactions, product utilization, and priorities. This crucial role ensures that Moneybox is well-equipped to fulfill its vision of empowering customers in their financial journeys.
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.
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.
About UsPerk, previously known as TravelPerk, stands as a pioneering platform for travel and expense management. Our innovative solutions are designed to eliminate the tedious, manual tasks that hinder productivity. We automate everything from travel arrangements to expense management and invoice processing, helping businesses reclaim valuable time and foster a more engaged workforce.With over 10,000 global clients, including industry leaders like Wise, On Running, and Breitling, we are committed to addressing the 7 hours of lost productivity per employee each week, a staggering $1.7 trillion issue.Founded in 2015, Perk has expanded to a diverse team of more than 1,800 employees across 12 offices worldwide, with our headquarters situated in London and Boston. Our mission is to innovate and simplify the workplace, enhancing the way businesses operate and how employees feel about their work.At Perk, our values drive us—ownership, delivering a 7-star experience, and collaboration are at our core. We champion curiosity and purpose, believing in the potential of every team member. Our talent acquisition team consists of top professionals from the travel and SaaS sectors, representing over 70 countries. If you are eager to make a significant impact and redefine the work experience for millions, we invite you to join us.Learn more about us at www.perk.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.
Join Zopa as a Senior Analytics Engineer and play a pivotal role in leveraging data to drive strategic decisions. You will collaborate with cross-functional teams to design and implement data solutions that enhance our analytics capabilities. If you are passionate about data engineering and possess a strong analytical mindset, this is the perfect opportunity for you.
Join Zoopla as a Senior Analytics Engineer and play a pivotal role in driving data-driven decisions across our innovative team. You will leverage your expertise in analytics, data modeling, and visualization to enhance our product features and improve user experience. Your contributions will directly impact how we serve millions of customers seeking their perfect home.
About Titan Wealth Titan Wealth is a growing wealth management firm based in London, serving clients in the UK and internationally. The company focuses on building a more equitable and efficient business model to deliver advice-driven wealth management services. Titan Wealth supports financial advisers and their clients in reaching their financial goals. Work Culture The team values both individual initiative and collaboration. Employees are encouraged to contribute ideas and work together to achieve strong results for clients over the long term. Role Overview: Senior Analytics Engineer This position sits within the wealth management division and works closely with the central data team. The Senior Analytics Engineer will shape, model, and analyze data that supports decision-making across advisory, investment, operations, and client service teams.
Join Our Team at Capi!Capi is on a mission to revolutionize the financial infrastructure for emerging market trade.With over $18M in funding from esteemed investors such as Creandum, Y Combinator, and General Catalyst, along with support from industry leaders at Revolut, Checkout, Stripe, and Remitly, we are committed to creating a fair and accessible global financial system.Our goal is to stimulate GDP growth in emerging markets by simplifying the global trade process, enabling importers to efficiently pay international suppliers. Our innovative platform empowers businesses to scale swiftly, generate employment, and drive economic prosperity in their nations.We are a diverse team of approximately 100 talented individuals across 10 countries, united by a passion for making a tangible impact in the world. We invite you to become part of our ambitious team!Explore Capi’s mission & values.Role Overview:As an Analytics Engineer at Capi, you will play a pivotal role in our data-centric approach, driving strategic decisions and enhancing product development through insightful data analysis. This unique position allows you to bridge the gap between data engineering, product development, and business operations in a dynamic fintech environment.Your responsibilities will include architecting and managing our data models and pipelines, creating user-friendly dashboards for targeted business verticals, and serving as a trusted data partner for various stakeholders throughout the organization.This cross-functional role will report directly to the Head of Finance and involve close collaboration with leadership and teams across Finance, Growth, Product, Engineering, Treasury, and Operations to ensure all decisions are informed by accurate and accessible data.
Join birdie as an Analytics Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you'll collaborate with cross-functional teams to design and implement robust data pipelines and analytical models that drive decision-making processes across the organization.Your expertise in data analysis and engineering will enable you to enhance our analytics capabilities and ensure data integrity and accessibility. This is an exciting opportunity for a data enthusiast ready to make an impact in a fast-paced environment.
Why Choose Valtech?At Valtech, we pride ourselves on being a leader in experience innovation, partnering with some of the world's most recognized brands. We provide our employees with abundant growth opportunities, a values-driven culture, and the chance to shape the future of customer experiences.The OpportunityJoin us at Valtech, where we foster an environment conducive to continuous learning, impactful contributions, and professional development. Whether you are innovating digital solutions, challenging traditional paradigms, or crafting the next generation of customer experiences, your contributions will be crucial in transforming industries.
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!
Job DescriptionJoin Abtrace, a pioneering venture-backed company dedicated to enhancing primary care through innovative software solutions. Our cutting-edge product identifies critical health signals, ensuring timely interventions across over 500 practices and supporting 6 million patients. We harness advanced analytics, user-friendly data visualizations, and robust data pipelines to empower healthcare professionals and transform the future of healthcare.Role OverviewWe are in search of a versatile Analytics Engineer who can seamlessly integrate business intelligence, data analysis, and data engineering. In this role, you will develop dynamic dashboards, analyze intricate healthcare datasets, and construct scalable data models utilizing Power BI, SQL, and contemporary data tools, thereby driving informed decision-making throughout the organization.Key ResponsibilitiesDevelop and maintain Power BI dashboards, reports, and interactive visualizations to facilitate business decision-making.Design and implement efficient data models to support robust reporting and analytics while ensuring high data quality and integrity.Collaborate with stakeholders to gather requirements, define metrics, and convert business needs into technical solutions.Work closely with cross-functional teams (product, operations, clinical) to ensure data solutions align with business objectives and healthcare regulations.Monitor data quality and governance to maintain compliance with healthcare data security and privacy standards.Identify opportunities for process improvements to enhance data accessibility, performance, and reliability.
About Pleo Pleo builds tools that help finance teams and employees manage business spending with less friction. For over ten years, the company has focused on solutions that move beyond traditional spend management, aiming to make financial processes simpler and more effective. Today, more than 40,000 customers use Pleo’s products to manage their finances. With a team of over 850 professionals representing more than 100 nationalities, Pleo values diverse perspectives and collaborative problem-solving. The company’s culture encourages curiosity, respect, and a willingness to tackle challenges together, even when not all the answers are clear from the start. Role Overview: Analytics Engineer (Mid-Level) This Analytics Engineer role sits within the Critical Data Products (CDP) team in London. The CDP team is responsible for building and improving high-quality data solutions that support Pleo’s data-driven products and operations. The focus of this position is to design, develop, and optimize data models, semantic layers, and data structures that power business-critical data pipelines. Success in this role means translating complex requirements into scalable, maintainable models that support decision-making throughout the organization. Candidates who enjoy simplifying complexity and working in a product-oriented, data-centric environment will find this role a strong fit. Team and Collaboration The Analytics Engineer will report to the Manager of the CDP team, which operates within the Product Hub of the Data department. The CDP team brings together specialists in Data Analytics, Data Engineering, and Analytics Engineering. Together, they deliver essential data pipelines, dashboards, reports, and strategic insights for teams across Pleo, including KYC/Compliance, Financial Crime, Credit, Banking Infrastructure, Regulatory Reporting, and multiple product groups. In addition to technical delivery, the team provides data enablement guidance and supports a wide range of initiatives that help drive Pleo’s business forward. Application Details Application deadline: Wednesday, April 29, 09:00 BST. Applications will not be reviewed before this date to ensure fairness for all candidates. Take the time needed to thoughtfully complete your application.
About SwapAt Swap, we are revolutionizing the world of agentic commerce through our innovative AI-native platform, which seamlessly integrates backend operations with a cutting-edge storefront experience. Designed for brands eager to sell anything, anywhere, Swap centralizes global operations, enhances intelligent workflows, and enables strategic decision-making with real-time data insights. Our diverse product offerings include solutions for cross-border transactions, tax compliance, returns management, demand planning, and our next-generation storefront, empowering merchants with transparency and confidence in their operations.We are committed to fostering a workplace culture that prioritizes clarity, creativity, and shared ownership as we transform global commerce.About the RoleWe are seeking a dedicated and pragmatic Lead Analytics Engineer to join our Analytics Engineering team, playing a pivotal role in scaling our data infrastructure for a new era at Swap. This leadership position offers significant ownership and the opportunity to directly influence the development and implementation of a modern, scalable data architecture. You will be responsible for leading the creation and upkeep of the data models that drive our business operations, from delivering internal insights for Sales and Finance to providing reliable data sets for our customer-facing systems.We are looking for a hands-on leader who is enthusiastic about steering our high-quality dbt project, defining our analytics vision, and mentoring the team as we expand our data models and capabilities. If you excel in a dynamic, collaborative environment and are eager to make a substantial impact, we would be thrilled to hear from you!Key Responsibilitiesdbt Project Leadership: Spearhead the technical vision, architecture, and expansion of our dbt project, establishing development best practices, CI/CD standards, and ensuring high code quality across the team.Strategic Data Modeling & Architecture: Lead the strategic design and maintenance of a robust, scalable, high-performance core data warehouse (fact and dimension models) that serves as the authoritative source for all critical business functions and data products.Data Governance & Quality: Implement and uphold advanced data quality frameworks, comprehensive testing, PII governance protocols, and documentation standards to ensure data integrity and reliability at scale.Cross-Functional Data Strategy: Act as a vital strategic partner to commercial (Sales, Finance) and product leadership, proactively identifying data opportunities, translating complex business objectives into actionable engineering requirements, and managing the delivery roadmap.
At Intercom, we are revolutionizing customer service through innovative AI solutions, dedicated to enhancing customer experiences for businesses worldwide.Our flagship AI agent, Fin, is the most sophisticated customer service AI available, enabling businesses to provide seamless, round-the-clock support. When paired with our Helpdesk, it becomes part of the comprehensive Intercom Customer Service Suite, tailored to manage complex queries requiring human intervention.Since our inception in 2011, we have gained the trust of nearly 30,000 businesses globally, setting a new benchmark in customer service. Our core values drive us to push boundaries, innovate rapidly, and deliver outstanding value consistently.What Awaits You?Join our AI Group at Intercom, where you will play a pivotal role in shaping new machine learning features, conducting algorithm research, and swiftly launching prototypes for our clients.Our product-driven team of over 50 ML scientists, engineers, designers, and researchers collaborates across various departments, ensuring we push to production rapidly, often launching beta versions within weeks of successful testing.We are committed to continuous improvement through experimentation and analyzing the performance of our AI features. Utilizing both frequentist and Bayesian methods, we create insightful dashboards and delve into complex user interactions to enhance user success. Navigating the stochastic nature of AI products poses challenges that we rigorously tackle.We are on the lookout for a passionate Analytics Engineer to join our AI Group and contribute to our mission.
About UsNALA is revolutionizing global payments for the next billion people, providing faster, smarter, and fairer transfer solutions for everyone. Since our inception in 2022, we have experienced an extraordinary growth of 120x, expanded our team from 9 to over 150 professionals, secured $50M+ in funding from leading investors, and earned a spot in the prestigious Forbes Fintech 50 in 2025.We deliver two key products:NALA, our consumer app, enables affordable, quick, and reliable cross-border payments for the global diaspora, facilitating money transfers from the UK, US, and EU to Africa and Asia.Rafiki, our B2B payments infrastructure, powers seamless global transactions.Our dynamic team comprises alumni from renowned companies like Wise, Stripe, Monzo, Revolut, and CashApp—experts who have successfully scaled world-class products. We embody a culture of urgency, deep thinking, and unwavering customer focus.At NALA, this is more than just a job; it’s about taking ownership, making an impact, and redefining global payments for the better.Join us in our mission to create Payments for the Next Billion. Your MissionAs a Senior Analytics Engineer, you will take charge of enhancing and maintaining NALA's data transformation layer—the backbone for all reporting, governed metrics, self-service analytics, and AI-driven functionalities. Your contributions will enrich the semantic context, structure, and governance of our data, ensuring that every model is comprehensively documented, tested, and interpretable by both humans and AI systems. With the rise of agentic analytics, your role is crucial in ensuring that NALA's data infrastructure is adequately prepared. Your Responsibilities in this RoleOversee the transformation layer (dbt + Snowflake), implementing best practices and advancing our data stack to achieve excellence.Manage streaming data pipelines alongside batch transformations, guaranteeing reliable and cost-effective real-time data flows integrated into the overall data architecture.Establish and uphold coding and agentic coding standards, ensuring systematic testing and documentation are default practices across all data models.Optimize warehouse performance and cost efficiency by identifying and rectifying query patterns and materialization decisions leading to unnecessary expenditures.Lay the groundwork for AI-enhanced self-service capabilities by developing robust data models and interfaces.
Feb 23, 2026
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