{"schemaVersion":"jobsearcher.job.v1","id":"b394824979d906a0b87ee75d","url":"https://jobsearcher.com/jobs/b394824979d906a0b87ee75d","canonicalUrl":"https://jobsearcher.com/jobs/b394824979d906a0b87ee75d","title":"Analytics Engineer","description":"TL;DR - We’re seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success.\nWhy Lovable?\nLovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.\nWe’re a small, talent-dense team building a generation-defining company. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.\nWhat we're looking for\nWe’re looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw data to insights to operationalization.\nYou bring:\nStrong SQL and analytical data modeling skills (ideally dbt or SQLMesh).\nExperience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks).\nComfort with Python for automation and light data engineering.\nExperience with dashboards, BI tools, and self-serve analytics.\nClear communication, collaboration, and comfort working in ambiguity.\nNice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.\nWhat you'll do\nPartner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled products.\nBuild and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.\nModel CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.\nDesign metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.\nPartner with Product and Engineering on event instrumentation and schema design.\nImprove documentation, observability, governance, and data best practices.\nContribute to forecasting models, KPI definitions, and experimentation frameworks.\nOwn and improve data pipelines, ingestion workflows, and data quality testing.\nYou’ll thrive here if you\nEnjoy building clean, reliable, reusable data models.\nHave experience partnering closely with cross-functional GTM teams to solve real problems with data.\nPrefer simplicity over complexity in data and tooling design.\nCommunicate clearly and proactively with technical and non-technical teams.\nTake ownership, move quickly, and iterate often.\nWant to help define and scale Lovable’s data foundations and culture.\nCare about the rep experience and view analytics as a product.\nHow we hire\nFill in a short form then jump on an initial exploratory call.\nDiscuss your experience in more depth during a round of interviews with us.\nAbout your application\nPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.\nWe treat all candidates equally - if you’re interested please apply through our careers portal.","company":"Lovable","rawCompany":"lovable","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-15T13:42:52.440Z","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":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analytics Engineer","description":"TL;DR - We’re seeking an Analytics Engineer to own the data foundations that fuel the GTM teams: building reliable models, shaping metrics, powering automation, and turning raw data into the insights and data products that drive Sales and Customer Success.\nWhy Lovable?\nLovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.\nWe’re a small, talent-dense team building a generation-defining company. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.\nWhat we're looking for\nWe’re looking for an Analytics Engineer with a background in Data Engineering or Analytics Engineering who operates as a true full-stack analyst, owning everything from raw data to insights to operationalization.\nYou bring:\nStrong SQL and analytical data modeling skills (ideally dbt or SQLMesh).\nExperience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks).\nComfort with Python for automation and light data engineering.\nExperience with dashboards, BI tools, and self-serve analytics.\nClear communication, collaboration, and comfort working in ambiguity.\nNice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.\nWhat you'll do\nPartner with Sales and CS on data and reporting needs. Translate ambiguous business questions into structured data models, analysis and actionable insights, and data-fueled products.\nBuild and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.\nModel CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.\nDesign metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.\nPartner with Product and Engineering on event instrumentation and schema design.\nImprove documentation, observability, governance, and data best practices.\nContribute to forecasting models, KPI definitions, and experimentation frameworks.\nOwn and improve data pipelines, ingestion workflows, and data quality testing.\nYou’ll thrive here if you\nEnjoy building clean, reliable, reusable data models.\nHave experience partnering closely with cross-functional GTM teams to solve real problems with data.\nPrefer simplicity over complexity in data and tooling design.\nCommunicate clearly and proactively with technical and non-technical teams.\nTake ownership, move quickly, and iterate often.\nWant to help define and scale Lovable’s data foundations and culture.\nCare about the rep experience and view analytics as a product.\nHow we hire\nFill in a short form then jump on an initial exploratory call.\nDiscuss your experience in more depth during a round of interviews with us.\nAbout your application\nPlease submit your application in English. It’s our company language so you’ll be speaking lots of it if you join.\nWe treat all candidates equally - if you’re interested please apply through our careers portal.","datePosted":"2026-08-15T13:42:52.440Z","dateModified":"2026-08-15T13:42:52.440Z","hiringOrganization":{"@type":"Organization","name":"Lovable","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b394824979d906a0b87ee75d"},"url":"https://jobsearcher.com/jobs/b394824979d906a0b87ee75d"}}