Analytics Engineer (DBT)

Role Overview:
- We are seeking an Analytics Engineer to transform raw data into clean, tested, and well-documented data models that power analytics and reporting.

Key Responsibilities:
- Build and maintain data transformation models using dbt.
- Implement data testing and documentation practices.
- Collaborate with stakeholders to define metrics and data definitions.
- Optimize data models for performance and usability.
- Support self-service analytics through curated datasets.

Requirements:
- 2+ years of experience in analytics engineering or a similar data role.
- Strong SQL skills and understanding of dimensional modeling.
- Experience with dbt and modern data stack tools.
- Familiarity with version control and CI/CD for data pipelines.

Technical Stack / Tools:
- dbt.
- SQL.
- Snowflake, BigQuery, or Redshift.
- Git.
- Airflow.
- Looker / Power BI / Tableau.

Location: Remote - Anywhere

Skills required for this job:

• Airflow
• Analytics engineering
• BigQuery
• Data build tool (dbt)
• Data modeling
• Git
• Looker
• Microsoft Power BI
• Python
• Redshift
• SQL
• Self-service analytics
• Snowflake
• Tableau