Lovable
Analytics Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Boston
Employer listed it 6 weeks ago · Added 5 days ago
Been open since 6 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Boston
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$200k a year, a typical range taken from 226 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Boston, Stockholm, New York City, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Boston, Stockholm, New York City, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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 is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
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
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Lovable, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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