# Analytics Engineer

**Company:** [Lovable](https://hotfix.jobs/companies/lovable)
**Location:** Boston, MA, New York, NY, Stockholm, Sweden
**Role:** Data Engineering
**Skills:** SQL, dbt, Sqlmesh, ELT, ETL, Snowflake, BigQuery, Redshift, Databricks, Python, Hex, Data Modeling, Data Pipelines, Data Warehousing, Data Quality Testing
**Posted:** 2026-08-09

> Builds reliable data models, pipelines, metrics, dashboards, and automation that support Sales and Customer Success. The role requires strong SQL and analytical modeling skills, experience with cloud warehouses and ELT/ETL workflows, Python proficiency, and cross-functional communication.

## Job Description

## Responsibilities
- Partner with Sales and Customer Success on data and reporting needs.
- Translate ambiguous business questions into structured data models, analysis, actionable insights, and data-fueled products.
- Build and maintain data warehouse models serving as the source of truth for product usage and go-to-market metrics.
- Model CRM, usage, and billing data to power Sales and Customer Success automation, CRM enrichment, lead definition and creation, and go-to-market tooling.
- Design metrics, dashboards, and data UIs in Hex and Lovable for go-to-market leadership and teams.
- Partner with Product and Engineering on event instrumentation and schema design.
- Improve documentation, observability, governance, and data practices.
- Contribute to forecasting models, KPI definitions, and experimentation frameworks.
- Own and improve data pipelines, ingestion workflows, and data quality testing.

## Requirements
- Strong SQL and analytical data modeling skills, ideally with dbt or SQLMesh.
- Experience with ELT/ETL workflows and cloud data warehouses.
- Comfort with Python for automation and light data engineering.
- Experience with dashboards, business intelligence tools, and self-serve analytics.
- Clear communication, collaboration, and comfort working in ambiguity.
- Experience building clean, reliable, reusable data models.
- Experience partnering with cross-functional go-to-market teams to solve business problems with data.
- Ability to communicate clearly and proactively with technical and non-technical teams.
- Strong ownership and ability to move quickly and iterate.

## Nice to Have
- Experience with AI or large language model products.
- Experience with instrumentation, experimentation, or early-stage startups.

## Compensation and Benefits
- No compensation information was provided.

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