Lovable

Analytics Engineer

Lovable Stockholm, Sweden

Software Development · 51-200 employees

Yesterday
Remote data-analyst Mid (2-5 yrs) Full-time Sweden
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About the role

You will own the data foundations for GTM teams by building reliable models and shaping metrics to drive Sales and Customer Success. Additionally, you will partner with cross-functional teams to translate business needs into actionable insights and operationalize data products.

What they look for

SQL Analytics Engineering Data Engineering Dbt SQLMesh Python Snowflake BigQuery Redshift Databricks Data Modeling BI Tools ETL ELT Data Visualization Dashboard Design

Requirements

The role requires strong SQL and analytical data modeling skills, along with experience in ELT/ETL workflows and cloud data warehouses. Candidates should be comfortable with Python for automation and possess clear communication skills to work effectively in an ambiguous environment.

Full 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.

Why Lovable?

Lovable 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.

We’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.

What we're looking for

We’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.

You bring:

  • Strong SQL and analytical data modeling skills (ideally dbt or SQLMesh).
  • Experience with ELT/ETL workflows and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks).
  • Comfort with Python for automation and light data engineering.
  • Experience with dashboards, BI tools, and self-serve analytics.
  • Clear communication, collaboration, and comfort working in ambiguity.
  • Nice to have: experience with AI/LLM products, instrumentation, experimentation, or early-stage startups.

What you'll do

  • Partner 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.
  • Build and maintain data warehouse models that serve as the source of truth for product usage and GTM metrics.
  • Model CRM data, usage data, and billing data to power Sales and CS automation, CRM enrichment, lead definition and creation, and GTM tooling.
  • Design metrics, dashboards, and data UIs in Hex and Lovable for GTM leadership and teams to access and operationalize data.
  • Partner with Product and Engineering on event instrumentation and schema design.
  • Improve documentation, observability, governance, and data best practices.
  • Contribute to forecasting models, KPI definitions, and experimentation frameworks.
  • Own and improve data pipelines, ingestion workflows, and data quality testing.

You’ll thrive here if you

  • Enjoy building clean, reliable, reusable data models.
  • Have experience partnering closely with cross-functional GTM teams to solve real problems with data.
  • Prefer simplicity over complexity in data and tooling design.
  • Communicate clearly and proactively with technical and non-technical teams.
  • Take ownership, move quickly, and iterate often.
  • Want to help define and scale Lovable’s data foundations and culture.
  • Care about the rep experience and view analytics as a product.

How we hire

  • Fill in a short form then jump on an initial exploratory call.
  • Discuss your experience in more depth during a round of interviews with us.

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.

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