Intermediate Analytics Developer

• Build and maintain user-facing reports to help customers understand their workforce and identify improvement opportunities
• Develop and maintain data models and pipelines in Google BigQuery
• Use partitioning and clustering to keep reporting fast and cost-effective
• Apply statistical techniques to provide meaningful insights and support data-informed decisions
• Collaborate with Product Managers, Developers, Designers, and UX Researchers on feature analyses and ad-hoc data requests
• Deliver reports that surface product insights
• Review data schemas for new features to support future analytics needs
• Provide constructive feedback during pull request reviews
• Troubleshoot issues across the analytics stack, from data ingestion through the warehouse and semantic layer
• Work with AI agent tools to automate workflows and surface insights
• Contribute to the Data team’s shared knowledge base and stay current on emerging analytics and data-development practices

• Based in Latin America
• Strong English level
• Degree in a quantitative field, or equivalent experience
• 3+ years of experience in data analysis or a similar role
• Strong SQL skills
• Hands-on experience with BigQuery and Looker
• Experience with Python for scripting, data engineering, or pipeline work
• Familiarity with Generative AI tools and LLMs
• Working knowledge of data warehousing concepts
• Solid foundation in statistics, including t-tests and linear regression
• Ability to communicate clearly about data topics with technical and non-technical audiences
• Good product and business sense
• Experience building and managing projects within BigQuery Analytics Hub is considered a strong asset, but not mandatory
• Knowledge of Java is considered a strong asset, but not mandatory

• Totally remote work
• Full-time schedule (40 hours/week)
• Choice of biweekly or monthly payment
• Payment in USD
• Independent contractor agreement