{"schemaVersion":"jobsearcher.job.v1","id":"bb0b67ef79c073fe9428d085","url":"https://jobsearcher.com/jobs/bb0b67ef79c073fe9428d085","canonicalUrl":"https://jobsearcher.com/jobs/bb0b67ef79c073fe9428d085","title":"Data Analytics Engineer","description":"Analytics Engineer Build the Data Foundation That Powers Every Product Decision Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration. As we continue expanding our platform, trusted data has become one of our most valuable products. Every product decision, customer insight, experiment, and business metric depends on reliable, well modelled data.\nYou are more than an Analytics Engineer. You are responsible for building the trusted data foundation that enables better decisions across Doodle. Working closely with Product, Engineering, Marketing, Finance, and Leadership, you will transform raw product data into trusted, scalable datasets that power experimentation, reporting, and product innovation.\nWhat You Will Do As an Analytics Engineer, you will own the analytics platform that enables self service insights across Doodle.\nAnalytics Platform Design, build, and maintain scalable analytics data models using dbt and modern data engineering practices.\nDevelop reliable transformation pipelines that convert raw product data into trusted, business ready datasets.\nOwn the performance, reliability, and continuous improvement of Doodle's analytics platform.\nData Modelling & Semantic Layer Define, document, and maintain trusted business metrics used across the company.\nBuild and evolve a scalable semantic layer that enables consistent reporting and self service analytics.\nEnsure data definitions remain accurate, accessible, and aligned across teams.\nData Quality & Governance Own data quality, validation, testing, monitoring, and governance across the analytics stack.\nImplement best practices for documentation, version control, CI, and automated testing.\nEstablish standards that improve data reliability, consistency, security, and trust.\nProduct Analytics & Experimentation Partner with Product Managers and Analysts to enable experimentation, funnel analysis, retention analysis, and customer insights.\nSupport product launches by providing reliable measurement frameworks and trusted analytics.\nEnable accurate A B testing through high quality event modelling and instrumentation.\nCross Functional Collaboration Work closely with Product, Engineering, Data, Marketing, Finance, and Leadership teams.\nTranslate business questions into scalable data models, trusted metrics, and actionable insights.\nAdvise teams on analytics architecture, data modelling standards, and best practices.\nInfluence product and business decisions by making data reliable, accessible, and easy to use.\nOur Ideal Candidate We are looking for an Analytics Engineer who combines strong engineering fundamentals with a product mindset and a passion for building trusted, scalable analytics platforms.\nAnalytics Engineering Strong experience building analytics data models using dbt or similar transformation frameworks.\nExperience orchestrating modern data pipelines using Airflow or similar workflow tools.\nAdvanced SQL skills with experience working on large analytical datasets.\nExperience working with cloud data warehouses such as Amazon Redshift. Experience with Athena or Spark is an advantage.\nProgramming & Analytics Strong Python skills for data processing and automation.\nGood understanding of dimensional data modelling, database design, and analytics engineering principles.\nFamiliarity with experimentation frameworks and product analytics.\nEngineering Excellence Quality first mindset with experience in testing, documentation, version control, and CI.\nPassion for building reliable, scalable, and maintainable analytics platforms.\nStrong problem solving skills with excellent attention to detail.\nCollaboration & Communication Excellent communication skills with the ability to explain technical concepts to both technical and non technical stakeholders.\nComfortable working across Engineering, Product, Analytics, and business teams.\nEnjoy collaborating in a fast moving SaaS environment.\nNice to Have Experience with pandas or similar Python data processing libraries.\nExperience supporting Product Led Growth organizations.\nExperience building semantic layers or self service analytics platforms.\nExperience with product analytics tools such as Amplitude, Mixpanel, or GA4.\nExperience working in a modern B2B SaaS environment.\nAt Doodle, we are committed to providing an environment of mutual trust and respect, where equal employment opportunities are available to all applicants and teammates without regard to age, race, color, disability, religion, gender, or sexual orientation. Diversity and inclusion are important to us because the best products are built by teams with different experiences, perspectives, and backgrounds.\nIMPORTANT NOTICE: Please note that we can only consider your application if you are based and have the right to work in Germany or London. At this time, we are unable to sponsor visas for this position or support relocation.\n\n#J-18808-Ljbffr","company":"Doodle Ag","rawCompany":"doodle ag","city":"New Bremen","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-07-23T03:16:31.088Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Engineer","description":"Analytics Engineer Build the Data Foundation That Powers Every Product Decision Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration. As we continue expanding our platform, trusted data has become one of our most valuable products. Every product decision, customer insight, experiment, and business metric depends on reliable, well modelled data.\nYou are more than an Analytics Engineer. You are responsible for building the trusted data foundation that enables better decisions across Doodle. Working closely with Product, Engineering, Marketing, Finance, and Leadership, you will transform raw product data into trusted, scalable datasets that power experimentation, reporting, and product innovation.\nWhat You Will Do As an Analytics Engineer, you will own the analytics platform that enables self service insights across Doodle.\nAnalytics Platform Design, build, and maintain scalable analytics data models using dbt and modern data engineering practices.\nDevelop reliable transformation pipelines that convert raw product data into trusted, business ready datasets.\nOwn the performance, reliability, and continuous improvement of Doodle's analytics platform.\nData Modelling & Semantic Layer Define, document, and maintain trusted business metrics used across the company.\nBuild and evolve a scalable semantic layer that enables consistent reporting and self service analytics.\nEnsure data definitions remain accurate, accessible, and aligned across teams.\nData Quality & Governance Own data quality, validation, testing, monitoring, and governance across the analytics stack.\nImplement best practices for documentation, version control, CI, and automated testing.\nEstablish standards that improve data reliability, consistency, security, and trust.\nProduct Analytics & Experimentation Partner with Product Managers and Analysts to enable experimentation, funnel analysis, retention analysis, and customer insights.\nSupport product launches by providing reliable measurement frameworks and trusted analytics.\nEnable accurate A B testing through high quality event modelling and instrumentation.\nCross Functional Collaboration Work closely with Product, Engineering, Data, Marketing, Finance, and Leadership teams.\nTranslate business questions into scalable data models, trusted metrics, and actionable insights.\nAdvise teams on analytics architecture, data modelling standards, and best practices.\nInfluence product and business decisions by making data reliable, accessible, and easy to use.\nOur Ideal Candidate We are looking for an Analytics Engineer who combines strong engineering fundamentals with a product mindset and a passion for building trusted, scalable analytics platforms.\nAnalytics Engineering Strong experience building analytics data models using dbt or similar transformation frameworks.\nExperience orchestrating modern data pipelines using Airflow or similar workflow tools.\nAdvanced SQL skills with experience working on large analytical datasets.\nExperience working with cloud data warehouses such as Amazon Redshift. Experience with Athena or Spark is an advantage.\nProgramming & Analytics Strong Python skills for data processing and automation.\nGood understanding of dimensional data modelling, database design, and analytics engineering principles.\nFamiliarity with experimentation frameworks and product analytics.\nEngineering Excellence Quality first mindset with experience in testing, documentation, version control, and CI.\nPassion for building reliable, scalable, and maintainable analytics platforms.\nStrong problem solving skills with excellent attention to detail.\nCollaboration & Communication Excellent communication skills with the ability to explain technical concepts to both technical and non technical stakeholders.\nComfortable working across Engineering, Product, Analytics, and business teams.\nEnjoy collaborating in a fast moving SaaS environment.\nNice to Have Experience with pandas or similar Python data processing libraries.\nExperience supporting Product Led Growth organizations.\nExperience building semantic layers or self service analytics platforms.\nExperience with product analytics tools such as Amplitude, Mixpanel, or GA4.\nExperience working in a modern B2B SaaS environment.\nAt Doodle, we are committed to providing an environment of mutual trust and respect, where equal employment opportunities are available to all applicants and teammates without regard to age, race, color, disability, religion, gender, or sexual orientation. Diversity and inclusion are important to us because the best products are built by teams with different experiences, perspectives, and backgrounds.\nIMPORTANT NOTICE: Please note that we can only consider your application if you are based and have the right to work in Germany or London. At this time, we are unable to sponsor visas for this position or support relocation.\n\n#J-18808-Ljbffr","datePosted":"2026-07-23T03:16:31.088Z","dateModified":"2026-07-23T03:16:31.088Z","hiringOrganization":{"@type":"Organization","name":"Doodle Ag","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New Bremen","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bb0b67ef79c073fe9428d085"},"url":"https://jobsearcher.com/jobs/bb0b67ef79c073fe9428d085"}}