Senior Analytics Engineer

Description

• Partner with cross-functional teams to gather requirements and implement reporting/dashboards which allow those teams to improve performance
• Implement reports/dashboards in our Business Intelligence platform which leverage our semantic model
• Partner with cross-functional teams to democratize data access and improve self-serve analytics capabilities.
• Create and maintain clear documentation for data models, metrics, and best practices.
• Use dbt (Data Build Tool) to build, test, and optimize scalable data models.
• Implement automated data quality checks to maintain integrity and reliability across datasets.
• Implement semantic models within our Business Intelligence platform
• Work with cloud data warehouses (BigQuery, Snowflake, or Redshift) to ensure efficient data transformation and storage.

Requirements

• Self-motivated and eager to optimize and automate data processes wherever possible.
• Strong written and verbal communication skills to translate complex data concepts for non-technical stakeholders.
• 5+ years of experience in analytics engineering
• Hands-on experience with dbt for data modelling and transformation.
• Strong reporting/dashboarding skills leveraging a modern Business Intelligence platform with a Semantic Layer (Omni, Looker, Lightdash, etc)
• Excellent problem-solving skills and a structured approach to data challenges.
• Strong SQL skills and experience working with data warehouses (BigQuery, Snowflake, or Redshift).
• Ability to work cross-functionally with different stakeholders.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance