Analytics Engineer - Marketing

TL;DR - We're looking for an Analytics Engineer to own the data foundation that powers marketing decisions at Lovable. You'll design event tracking, build the data models, and ensure Lovable has trustworthy, well-structured data to analyze attribution, LTV, and channel performance.Why Lovable?Lovable lets anyone and everyone build software with plain English. 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.We’re a small, talent-dense team building a generation-defining company from Stockholm. 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.What we are looking forFamiliarity with marketing data: UTM structures, attribution concepts, ad platform data quirksExpertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)Understanding of dimensional modeling, data contracts, and metrics/semantical layers.Hands-on experience with data transformation tools (SQLMesh, dbt, or similar)Understanding of event collection systems (RudderStack, Segment, Snowplow, GA4)Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)Strong business acumen and ability to translate domain logic into scalable data structuresWhat you will doDefine and govern event taxonomy for marketing touchpoints (UTMs, referrals, conversions, campaign interactions)Partner with product engineering to instrument and validate tracking across web, app, and lifecycle channelsBuild and maintain dimensional models (SQLMesh) for attribution, channel performance, and customer journey analysisCreate foundational tables for attribution windows, touchpoint sequences, cohort definitions, and channel mappingManage ingestion pipelines for marketing data sources (ad platforms, affiliate networks, influencer tools)Monitor data quality, latency, and completeness across the marketing data pipelineWork closely with our Marketing Analyst to translate analytical needs into robust, performant data modelsOur tech stackWe're building with tools that both humans and AI love:Frontend: ReactBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Many LLM providersDevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform)And always on the lookout for what's next!How we hireFill in a short form then jump on an intro call with recruiter.Complete the general programming exercise.Show us how you approach problems during several technical interviews.Tell us about your most impressive project.About your applicationPlease submit your application in English - it’s our company language so you’ll be speaking lots of it if you joinWe treat all candidates equally - if you’re interested please apply through our careers portal