Staff Analytics Engineer

Want to help us help others Were hiring!

GoFundMe is the worlds most powerful community for good dedicated to helping people help each other. By uniting individuals and nonprofits in one place GoFundMe makes it easy and safe for people to ask for help and support causesfor themselves and each other. Together our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Analytics Engineer to join our Data Platform team!

In this position you will help define and scale our modern analytics layerbridging raw data and business insights through trusted well-modeled and accessible datasets. This role sits at the intersection of data engineering analytics and product and is critical to enabling high-quality decision-making across the organization. Youll partner closely with stakeholders to define metrics model data and build scalable self-serve analytics foundations. This in turn drives business growth fostering a worldwide environment of peer-to-peer generosity.

This is a hybrid position. Candidates considered for this role will be located in Buenos Aires Argentina.

The Job

• Design build and maintain scalable data models that power analytics reporting and experimentation
• Develop and manage transformation workflows using DBT (or similar tools) following modern ELT practices
• Define and maintain a metrics layer / semantic layer to ensure consistent trusted business definitions
• Build curated analytics-ready datasets from multiple sources (event data transactional systems third-party APIs)
• Partner with stakeholders to translate business questions into well-defined metrics and data models
• Ensure data quality through testing validation and monitoring frameworks
• Optimize query performance and cost efficiency within Snowflake (or similar warehouse)
• Enable self-service analytics by designing intuitive well-documented data models
• Support and scale experimentation frameworks including A/B testing and metric standardization
• Leverage AI tools such as Claude and agentic workflows to accelerate data modeling metric documentation and semantic layer development
• Help shape how the team uses AI-assisted analytics enabling data scientists and business users to query trusted datasets through governed AI interfaces
• Collaborate with data engineers to define upstream data contracts and improve data reliability
• Document data models metrics and lineage to improve discoverability and trust
• Contribute to governance practices including naming conventions versioning and access controls
• Drive adoption of best practices in analytics engineering across the organization

You

• 5 years of experience in analytics engineering data engineering or advanced analytics roles
• Strong expertise in SQL (advanced querying optimization window functions etc.)
• Hands-on experience with DBT or similar transformation frameworks
• Experience working with modern data warehouses such as Snowflake BigQuery or Redshift
• Strong understanding of data modeling best practices (star schema dimensional modeling etc.)
• Hands-on experience with AI-assisted development tools such as Claude or GitHub Copilot to accelerate modeling documentation and code review
• Strong understanding of how LLMs and agentic workflows interact with semantic layers and what that means for how analytics data is structured and governed
• Experience defining and managing business metrics and semantic layers
• Familiarity with event-based data models and user behavior tracking
• Experience working with analytics tools such as Looker Tableau Sigma or similar

Preferred

• Experience with experimentation platforms and A/B testing frameworks
• Familiarity with metrics layer tools (e.g. LookML MetricFlow Cube Transform)
• Experience with event tracking tools (GA Heap Segment CDPs)
• Experience with Python for data transformation or analysis
• Knowledge of data orchestration tools (Airflow Prefect)
• Experience with data governance and cataloging tools
• Familiarity with machine learning data pipelines or feature stores
• Experience with Reverse ETL tools (e.g. Hightouch Census)

Why youll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse passionate and talented team in a fast-paced forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work family planning along with generous parental leave flexible time-off policies and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning development and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity equity and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great find a way earn trust every day fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race color religion ethnicity nationality or national origin sex sexual orientation gender gender identity or expression pregnancy status marital status age medical condition mental or physical disability or military or veteran status.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process please contact us at .

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Learn more about GoFundMe:

Were proud to partner with an independent public charity to extend the reach and impact of our generous community while helping drive critical social change. You can learn more about activities and impact in their FY 25 annual report.

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