Analytics Engineer
March 2
Description
• Provide clean, transformed data ready for analysis • Apply software engineering best practices to analytics code (ex. version control, testing, CI/CD) • Maintain data documentation & definitions • Transform, test, deploy, and document datasets for clarity and accessibility • Use modern data stack tools (DBT, Snowflake, BigQuery, Redshift) to manage data workflows • Train business users on how to use data visualization tools • Enable self-service data analysis for business users
Requirements
• Experience in data engineering and data analysis • Proficiency with SQL and experience in one or more programming languages (Python, R) • Familiarity with cloud-based data warehouses (Snowflake, BigQuery) and data transformation tools • Strong understanding of data modeling, ETL processes, and data warehousing concepts • Excellent problem-solving skills and attention to detail • Ability to work collaboratively in a team environment • Strong communication skills to document and explain data processes to non-technical stakeholders
Benefits
• Home office stipend • 30 days time off • Meaningful equity • Open-minded and transparent culture that includes regular get together meetings (e.g. All Hands, Brown Bag Lunch, Offsite)
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