Analytics Engineer

Title: Analytics Engineer

Pay: $42 per hour

Type: Fully remote PST

Duration: 5 months

Key Responsibilities:

• Design and develop scalable, well-structured data models to support business intelligence and analytics use cases
• Refactor and simplify existing BI semantic layers (e.g., Looker explores / LookML) to improve usability, performance, and maintainability
• Lead and support BI migration efforts, including rebuilding dashboards and underlying data models in alignment with updated data architecture

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• Translate business requirements into clean, reliable datasets that enable self-service analytics
• Partner with cross-functional stakeholders (Product, Marketing, Finance, BI, etc.) to define metrics, standardize logic, and ensure consistent reporting
• Build and maintain ELT pipelines to transform and integrate data from multiple sources
• Support data platform migration and replication efforts, ensuring data accuracy, completeness, and integrity across the system
• Identify and resolve data quality issues, inconsistencies, and performance bottlenecks.

Qualifications:

• Bachelor’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Mathematics, Statistics, or related discipli
• 3+ years of experience in analytics engineering, data engineering, or a related role

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• Advanced proficiency in SQL and strong understanding of dimensional modeling and data warehousing concepts
• Hands-on experience with BI tools, particularly Looker (LookML development, explores, and dashboarding
• Experience refactoring or rebuilding BI layers and semantic models in complex environment
• Experience supporting or executing BI migrations (e.g., dashboard rebuilds, metric standardization, model redesign)
• Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar)
• Experience working with cloud data warehouses such as Snowflake and/or Redshift
• Strong ability to work with ambiguous or complex legacy systems and drive simplification
• Excellent communication skills and ability to collaborate with both technical and non-technical stakeholders
• Experience with data replication or integration (e.g., MySQL to cloud data warehouse) is a plus.