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We are looking for a Senior Analytics Engineer to join our Data Engineering team. This role sits at the intersection of data modeling, analytics, and business enablement, and plays a critical part in helping Data Analysts and stakeholders work more efficiently with trusted, high-quality data. The team is currently focused on optimizing existing data models, rebuilding high-impact, reusable models, and enabling scalable analytics across the organization. You’ll work closely with Data Engineers, Data Analysts, and business partners to design and maintain clean, performant data models that power decision-making. This is an excellent opportunity for a product-minded analytics engineer who enjoys owning their work end-to-end and collaborating closely with stakeholders.
Job Responsibility:
Design, build, and maintain dbt models to support analytics and reporting needs across the organization
Develop and maintain metrics and source-of-truth data marts to support critical reporrting functions across the organization
Develop clean, efficient, and scalable data models in partnership with the Data Architect and Data Engineers
Implement data quality checks using dbt tests (schema and data tests)
Create and maintain clear documentation for data models using dbt docs
Monitor and support data model pipelines, troubleshooting and resolving issues as needed
Collaborate with Data Analysts and business stakeholders to translate requirements into well-structured data models
Apply strong data modeling principles to create intuitive and performant data marts
Contribute to improving standards, best practices, and processes across the Data & Analytics function
Mentor junior team members and support a collaborative, high-quality engineering culture
Strong hands-on experience with dbt, including: Project structuring (staging, intermediate, marts), Writing and maintaining dbt tests, Using dbt documentation features, Experience with macros and packages
Experience with BigQuery, including: Partitioning and clustering, Performance tuning, Cost optimization strategies
Version control using Git
Experience working with or contributing to CI/CD pipelines for analytics workflows (e.g., GitHub Actions, GitLab CI)