Join us in strengthening the data backbone of our product analytics capabilities as an Analytics Engineer. You will partner with cross-functional teams to build, maintain, and optimize data assets, BI infrastructure, and data engineering workflows.
Requirements
- Bachelor's degree and 6+ years of experience
- Intermediate SQL programming skill
- Intermediate knowledge of SQL-based relational databases
- Previous experience with ETL processing of big data
- 6+ years experience with SQL-based relational databases (e.g., Athena, Redshift, Snowflake)
- 6+ years experience with BI Tools (e.g., Microsoft Power BI, Domo, Tableau)
- Microsoft Office Suite, specifically strong Excel proficiency
- Web analytics knowledge (e.g., Google Analytics, Adobe Analytics) highly preferred
- Experience with data transformation tools such as dbt (data build tool), including model development, testing, and documentation preferred
- Familiarity with version control systems (e.g., GitHub) and CI/CD workflows for data pipeline deployment required
- Experience with or willingness to learn Snowflake data platform capabilities, including Cortex AI features for semantic layer and natural language analytics
- Previous experience working with AI/GenAI applications in task augmentation or workflow improvement a plus
- Tableau Server certification, AWS Data Analytics certification a plus
Benefits
- Flexible vacation with pay
- Seven paid holidays throughout the calendar year
- Up to 160 hours of paid wellness annually
- Bereavement leave
- Time off to vote
- Jury duty leave
- Volunteer time off
- Military leave
- Parental leave