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# Analytics Engineer

- **Company:** Lovable Labs Incorporated
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Customer Data Management, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Raw Data, Standard Sql, Large Language Models, Snowflake, Data Pipelines, Amazon Redshift, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7efb7ac07ab648ab

## About the Role

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.

## Description

* 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.


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