Analytics Engineer II

📋 Description

• Own transformation layer and gold standard of reporting.
• Bridge data engineering and analytics to shape datasets.
• Define data architecture and models for company reporting.
• Collaborate with analysts and engineers on data solutions.

🎯 Requirements

• 2–4 years in data analytics/engineering.
• Production-grade data models with dbt and Snowflake.
• Proficient SQL for data transformation.
• Experience with Looker/Tableau/Power BI.
• GitHub version control and CI/CD for data.
• Translate business requirements into technical specs; strong communication.

🎁 Benefits

• 401(k) match and benefits package.
• Medical, dental, and vision insurance.
• Life and disability insurance.
• Generous PTO, vacation, sick leave, holidays.
• Maternity and bonding leave.
• EAP and wellbeing resources.