Staff Analytics Engineer

GoFundMe

Buenos Aires, Argentina
On-site
Sql expertise
Dbt or similar transformation frameworks
Modern data warehouses (snowflake, bigquery, redshift)
Help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets

Job Summary

  • Help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets.
  • Partner closely with stakeholders to define metrics, model data, and build scalable, self-serve analytics foundations.
  • Leverage AI tools such as Claude and agentic workflows to accelerate data modeling, metric documentation, and semantic layer development.

Matching Summary

Help define and scale our modern analytics layer—bridging raw data and business insights through trusted, well-modeled, and accessible datasets.

Skills & Requirements

Must-have

  • SQL expertise
  • DBT or similar transformation frameworks
  • Modern data warehouses (Snowflake, BigQuery, Redshift)
  • Data modeling best practices
  • AI-assisted development tools (Claude, GitHub Copilot)
  • LLM and agentic workflow interaction with semantic layers
  • Business metrics and semantic layers definition
  • Event-based data models and user behavior tracking
  • Analytics tools (Looker, Tableau, Sigma)

Nice-to-have

  • Experimentation platforms and A/B testing
  • Metrics layer tools (LookML, MetricFlow)
  • Event tracking tools (GA, Heap, Segment)
  • Python for data transformation
  • Data orchestration tools (Airflow, Prefect)
  • Data governance and cataloging tools
  • Machine learning data pipelines
  • Reverse ETL tools (Hightouch, Census)

Key Requirements

  • 5+ years of experience in analytics engineering, data engineering, or advanced analytics roles
  • Strong expertise in SQL
  • Hands-on experience with DBT or similar transformation frameworks
  • Experience working with modern data warehouses
  • Strong understanding of data modeling best practices
  • Hands-on experience with AI-assisted development tools
  • Strong understanding of LLMs and agentic workflows
  • Experience defining and managing business metrics and semantic layers
  • Familiarity with event-based data models
  • Experience working with analytics tools

Work Rights

Not specified

Tailored Resume

Cover Letter