Role OverviewAn Analytics Engineer builds and maintains the foundational data infrastructure that transforms raw business data into reliable, analysis-ready insights for decision-making. This position is critical to establishing scalable data models, pipelines, and governance practices that will support our growing analytical needs.
What You Will Do
Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured formats within Snowflake using dbt. Create conform and analytics layers that standardize data for business consumption. Develop dimensional models and data marts tailored to business requirements.
Why It Might Be a Fit
This position directly contributes to the company's overall mission by enabling data-driven decision making across all departments, improving operational efficiency, and supporting strategic initiatives through reliable analytics infrastructure.
Requirements
- 2-4 years of experience in analytics engineering, data engineering, or similar role
- Advanced SQL proficiency in ANSI-SQL for querying, data transformation, and building data infrastructure
- Snowflake expertise with hands-on experience in its architecture and best practices for data management and processing
- Strong data modeling skills with deep understanding of data modeling principles and experience designing efficient structures for analytics
- dbt proficiency for managing data transformations and building data models within Snowflake
- Passion for detail and quality - skilled at spotting data and process gaps and committed to driving continuous improvement
- Strong communication skills and comfort collaborating with non-technical stakeholders
- Intellectual curiosity and drive to understand business problems through data
Benefits
- 4 days in-office, 1 day remote
- Experience Level: Mid-level (2-4 years)
- Department: Data Analytics Team
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