Analytics Engineer - Marketing

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.

Must Have

• Define and govern event taxonomy for marketing touchpoints.
• Partner with product engineering to instrument and validate tracking.
• Build and maintain dimensional models for attribution, channel performance, and customer journey analysis.
• Create foundational tables for attribution windows, touchpoint sequences, cohort definitions, and channel mapping.
• Manage ingestion pipelines for marketing data sources.
• Monitor data quality, latency, and completeness across the marketing data pipeline.
• Work closely with Marketing Analyst to translate analytical needs into robust, performant data models.

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 for

• Familiarity with marketing data: UTM structures, attribution concepts, ad platform data quirks
• Expertise 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 structures

What you will do

• Define 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 channels
• Build and maintain dimensional models (SQLMesh) for attribution, channel performance, and customer journey analysis
• Create foundational tables for attribution windows, touchpoint sequences, cohort definitions, and channel mapping
• Manage ingestion pipelines for marketing data sources (ad platforms, affiliate networks, influencer tools)
• Monitor data quality, latency, and completeness across the marketing data pipeline
• Work closely with our Marketing Analyst to translate analytical needs into robust, performant data models

Our tech stack

We're building with tools that both humans and AI love:

• Frontend: React
• Backend: Golang and Rust
• Cloud: Cloudflare, GCP, AWS, Many LLM providers
• DevOps & Tooling: Github Actions, Grafana, OTEL, infrastructure-as-code (Terraform)

And always on the lookout for what's next!

How we hire

1. Fill in a short form then jump on an intro call with recruiter.

2. Complete the general programming exercise.

3. Show us how you approach problems during several technical interviews.

4. Tell us about your most impressive project.

About your application

• Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join
• We treat all candidates equally - if you’re interested please apply through our careers portal