Lead Analytics Engineer

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.

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.

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.

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.

Join Our Journey at Zopa Hello, we are Zopa! Since our inception in 2005 as the pioneering peer-to-peer lending platform, we have rapidly evolved. In 2020, we took a significant step by launching Zopa Bank, a financial institution dedicated to addressing customer concerns in finance by doing things differently. Our mission is to revolutionize the banking experience, putting our customers at the forefront and empowering them to reach their financial aspirations. Discover more about our innovative services at Zopa.com. We take pride in our accomplishments, thanks to our talented team. We’ve not only garnered industry accolades but have also been recognized as one of the top three Most Loved Workplaces in the UK. If you are someone who thrives on unconventional challenges, enjoys thinking outside the box, and is eager to make a significant impact, Zopa is the right place for you. Want to see us in action? Follow us on Instagram @zopalife! The Analytics Engineering TeamThe Analytics Engineering team is a vital component of our broader Data Team within the Technology division. We are excited to expand our team and welcome a new Analytics Engineer! Our primary goal is to convert data into actionable insights that empower our analytics, product, finance, and risk teams. At Zopa, we are dedicated to using data to enhance decision-making for our customers. As an Analytics Engineer, you will immerse yourself in your domain, develop a thorough understanding of the data, and create high-quality data products that are well-structured, reliable, and incorporate robust controls and quality checks with our chosen tools. In line with our commitment to autonomy and empowerment, you will take charge of the daily operations of our data marts. This includes troubleshooting issues, escalating concerns as needed, and ensuring smooth functionality. In addition to your technical duties, you will collaborate closely with stakeholders to share your expertise and insights. You will also contribute to the team by conducting code reviews and validating data, ensuring we uphold the highest standards. This role offers a dynamic environment where you can make a tangible impact while fostering a culture of excellence and collaboration.

Shawbrook Bank is seeking a dynamic and innovative Head of Analytics Engineering to lead our analytics team in London. This pivotal role involves managing data analytics processes, optimizing data systems, and driving strategic insights to enhance our business performance. As a key player in our Data Platform department, you will work closely with various stakeholders to translate business needs into analytical solutions. This position is perfect for a data enthusiast eager to make a significant impact in a growing organization.

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.

Join Valtech: Pioneers of Experience InnovationAt 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 OpportunityAs 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.

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.

Tiger Analytics is a premier analytics consulting firm, renowned for our expertise in transforming data into actionable insights for Fortune 100 companies. Our team excels in Data Science, Machine Learning, and AI, delivering significant business value. Recognized by leading market research firms such as Forrester and Gartner, we are headquartered in Silicon Valley, with a global delivery center in Chennai, India.If you have a passion for tackling complex business challenges through data-driven solutions, we want to connect with you. The designation and compensation will reflect your experience and expertise.As a Business Consultant, you will collaborate closely with key client stakeholders to identify business challenges, outline analysis requirements, and determine solution specifications. Your role will be pivotal in ensuring business value and effectively communicating results.

About Octopus ElectroverseAt Octopus Electroverse, we are revolutionizing electric vehicle ownership by creating an innovative and user-friendly virtual charging platform designed for the future.In just four years, we have rapidly ascended to become one of the foremost players in the eMobility sector worldwide, boasting over 1 million connected electric vehicle chargers and a diverse customer ecosystem that includes web, iOS, Android, CarPlay, Android Auto, and various Automotive OS platforms.This is only the beginning; we're on an exciting journey of international expansion, collaborating with numerous automotive and tech partners, developing cutting-edge features at scale, and crafting seamless charging experiences aimed at simplifying public EV charging for our users.The Electroverse team is a dynamic collective encompassing product, development, commercial, operations, marketing, partnerships, and more, all committed to solidifying Octopus as the leading name in EV charging.

Job Title: Lead Analytics EngineerLocation: London / Bristol / EdinburghSalary: £80,000 to £95,000Team: DataThis position is available in London, Bristol, or Edinburgh, and candidates must have the right to work in the UK. Unfortunately, we are not currently providing visa sponsorship for this role.Kaluza is at the forefront of the Energy Intelligence Platform, transforming energy complexity into seamless coordination. We assist energy companies in navigating today's challenges while pushing towards a clean, electrified future.Our platform facilitates millions of real-time decisions across homes, devices, markets, and grids. By merging predictive algorithms with a human-centered design approach, Kaluza ensures that clean energy is dependable, affordable, and integrated into daily life.With teams located across Europe, North America, Asia, and Australia, alongside a joint venture with Mitsubishi Corporation in Japan, we empower leading companies including OVO, AGL, and ENGIE, in addition to innovators like Volvo and Volkswagen.What Will You Be Doing?As the Lead Analytics Engineer, you will establish the gold standard for data practices at Kaluza. You will architect scalable and reliable data solutions founded on modern best practices, driving the strategy for our data models while bridging high-level business objectives with technical realities.Your responsibilities will include defining and enforcing engineering best practices (CI/CD, modularity) across the data organization, developing sophisticated modeling solutions for complex scenarios, and researching and implementing modern data stack tools. You will own the long-term vision for data modeling, design and implement data governance frameworks, and act as the lead responder for GDPR-related incidents. Collaborating cross-functionally, you will partner with Product to shape the Analytics Engineering Roadmap, translating complex business needs into technical requirements, and promoting a data-driven culture throughout Kaluza.

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.

Valtech partners with well-known brands to design and deliver customer experiences. The company emphasizes growth, international opportunities, and a culture shaped by clear values. The role The Conversational Analytics Engineer position centers on developing digital solutions that improve how customers interact with businesses. This role involves exploring new approaches, questioning established methods, and helping to create customer experiences that can influence entire industries. What to expect Work on projects that focus on conversational analytics and digital innovation Contribute to solutions that aim to improve customer engagement Participate in a team culture that values learning and professional growth Location This position is based in London.

Job Title: Future Interest: Analytics Engineer Location: London, Bristol, or Edinburgh (Hybrid working model) Salary: £46,400 - £63,800 Team: Analytics Engineering team Reporting To: Analytics Engineering Manager Note on this Role: Currently, we do not have a specific opening for this position, but due to our rapid growth, we frequently hire for this skill set! By applying here, you will be added to our Priority Talent Pool. When a headcount is approved, our recruiters will review this pool prior to posting the job publicly. Work Authorization: This position requires existing right to work in the UK. Please note, we are unable to offer visa sponsorship for this role at this time. We are dedicated to building a diverse, global team and our sponsorship policy is evaluated on a role-by-role basis. Keep an eye on our careers site for future opportunities that may include visa sponsorship. Kaluza is transforming the energy landscape as the leading Energy Intelligence Platform. Our mission is to simplify energy complexities while facilitating the transition to a clean, electrified future. Our platform coordinates millions of real-time decisions across homes, devices, markets, and grids. By integrating predictive algorithms with user-centric design, Kaluza makes clean energy reliable, affordable, and adaptable to everyday life. With teams spanning Europe, North America, Asia, and Australia, and a joint venture with Mitsubishi Corporation in Japan, we empower top companies like OVO, AGL, and ENGIE, along with innovators such as Volvo and Volkswagen. Key Responsibilities: In the role of Analytics Engineer, you will be crucial in building the foundation for our global reporting capabilities. Your primary focus will be on designing and implementing a high-performance, scalable dimensional model tailored to serve multiple global clients. This position is not just about data migration; it's about expertly translating complex schema designs into production-ready SQL. You will act as a bridge between abstract data architecture and operations, ensuring the integrity and efficiency of our analytics systems.

Join Wise as a Lead Analytics Engineer and play a pivotal role in driving data-driven decision-making across our global operations. You will lead a team of talented analytics professionals, utilizing your expertise to extract insights from complex datasets and develop innovative analytical solutions. Your work will directly impact our product development and overall business strategy.

About UsAt Perk, we are revolutionizing travel and spend management with our intelligent platform that streamlines tedious tasks like travel bookings, expense tracking, and invoice processing. By automating these processes, we free our clients from the burdens of shadow work, allowing them to focus on what truly matters—driving productivity and innovation.Serving over 10,000 companies worldwide, including industry leaders like Wise, On Running, Breitling, and Fabletics, we are committed to addressing the $1.7 trillion issue of lost productivity—averaging 7 hours per employee each week. Founded in 2015, Perk is a global team of over 1,800 professionals across 12 offices, with headquarters in London and Boston. We blend innovation, control, and simplicity to enhance workplace efficiency and employee satisfaction.Our values—ownership, delivering a 7-star experience, and teamwork—drive us. We seek individuals who are curious, purpose-driven, and possess the right mindset to unlock potential. Our diverse talent pool represents over 70 countries, and if you are eager to make a significant impact in the professional world, we welcome you to join our team.To learn more about us, visit www.perk.com.

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.

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.

Join Synthesia, the premier AI video platform for enterprises, where over 90% of Fortune 100 companies leverage our innovative solutions. Founded in 2017 and headquartered in London, we have expanded our presence across Europe and the US, fostering a culture of creativity and collaboration.As AI revolutionizes the workplace, we are committed to developing cutting-edge products that elevate visual communication and enhance organizational skill development, empowering individuals to thrive in high-performing teams.After our successful Series E funding round, we proudly stand with a valuation of $4 billion, supported by over $530 million in funding from top-tier investors like Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, as well as the founders of Stripe, Datadog, Miro, and Webflow.About the RoleAs a Senior Analytics Engineer, you will play a vital role in shaping our data function from the ground up. Your expertise will drive the development and enhancement of analytics foundations that inform strategic product decisions across the organization. Collaborating closely with Product, Analytics, and Engineering teams, you will transform raw product data into reliable, well-defined datasets, metrics, and scalable data products.You will establish the principles for modeling data applicable to both self-serve and AI use cases, ensuring a careful equilibrium between speed, data quality, and long-term sustainability. Your responsibilities will include designing robust models and metric foundations that adapt to change, are easily understandable, and cater to both human and machine consumption.What You’ll Be DoingCollaborate with Product, Analytics, and Engineering teams to identify data needs and convert ambiguous inquiries into clear, scalable data models.Define, construct, and maintain core dbt models that convert raw product data into authoritative, well-documented datasets.Own metric definitions and transformation logic to guarantee consistency, accuracy, and trust across all reporting and analysis.Establish and uphold data quality standards, testing, and expectations regarding data freshness and reliability.Work in tandem with Product Analysts to facilitate quicker and higher-quality insights and decision-making processes.Support data accessibility in tools like Amplitude and Omni, ensuring data is user-friendly and easy to self-serve.Act as a subject-matter expert in analytics engineering, guiding best practices and assisting colleagues in solving data-related challenges.Contribute to the strategic evolution of our data stack as we scale and increase product complexity.