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.

Analytics Engineer

Responsibilities

Qualification

Required

Preferred

Company

Lovable

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