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Analytics Engineer

Lovable· GTM
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Hybrid (Boston), Hybrid (Stockholm), Hybrid (New York City)$141.5k - $192kFull-timePosted 2mo ago

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.

Responsibilities

  • 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.

Qualifications

  • Strong SQL and analytical data modeling skills (ideally dbt or SQLAlchemy).
  • 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.

Skills

Required:SQLELT/ETLCloud data warehousesPythonDashboards / BICommunication
Nice to have:dbtAI/LLM products
Last updated Oct 7, 2026. Interested? Apply on the company site.
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