Analytics Engineer
- Role
- Data Engineering
- Employment
- Full-time
- Company size
- Startup
The listing doesn't say where it hires from. Check the description or the employer's site before applying.
No BS summary
Analytics Engineer with Data Engineering or Analytics Engineering background needed to own data foundations for GTM teams. Requires strong SQL, analytical data modeling (dbt/SQLMesh), ELT/ETL, cloud warehouses (Snowflake/BigQuery/Redshift/Databricks), and Python for automation. Must be comfortable with dashboards, BI tools, and ambiguity. Experience with AI/LLM products, instrumentation, experimentation, or early-stage startups is a plus.
Core skills
Required skills
Optional skills
Required languages
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.
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.
What they require
- 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.
- 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.
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.