Senior Analytics Engineer, Job&talent

• 5+ years of experience in analytics engineering, data engineering, or related software development experience
• Expert-level SQL and strong hands-on experience with dbt for transforming and modeling data in the warehouse
• Deep experience with modern cloud data warehouses such as BigQuery, Redshift, or Snowflake
• Deep understanding of data modeling principles (e.g., dimensional modeling, star/snowflake schemas, normalization/denormalization)
• Strong understanding of data quality and testing frameworks within the analytics stack
• Solid understanding of Looker: building explores, LookML models, dashboards, and user-friendly semantic layers
• Proficiency with DevOps and Infrastructure-as-Code (IaC) principles, using tools like Git, dbt Cloud/CLI, and CI/CD pipelines to manage analytics workflows
• Familiarity with software engineering best practices, including version control, modular design, documentation, and testing strategies

Desirable

• We are seeking a highly skilled, organized, and self-motivated Senior Analytics Engineer to join our Data & Analytics team
• You’ll play a key role in building a modern, cloud-based, and scalable self-service data platform that supports decision-making across the organization
• In this role you will take ownership of foundational components of our core data platform
• You’ll collaborate closely with data engineers, analysts, product managers, and other stakeholders to design and deliver high-quality, maintainable, and scalable analytics solutions
• We’re committed to strong engineering practices: writing clean, secure, and well-tested code is a priority
• This is a unique opportunity to make a significant impact in a fast-growing company, with ample room for learning, ownership, and career growth
• Design, develop, and maintain scalable, production-grade data sets using dbt to deliver trusted data to internal teams and customers
• Own and optimize data models in dbt that support self-service analytics, operational reporting, and BI
• Develop and maintain Looker explores, views, and dashboards, ensuring consistency between the semantic layer and the underlying dbt models
• Ensure data quality, accessibility, and governance by implementing robust testing, documentation, and version control standards
• Collaborate closely with cross-functional teams — including data engineering, product, and business stakeholders to understand data requirements and translate them into actionable data products
• Champion analytics engineering best practices across modeling, documentation, code review, and CI/CD automation
• Mentor junior analytics engineers and contribute to the continuous improvement of team workflows, architecture, and data standards
• Monitor and improve the performance and reliability of data pipelines with alerting, automated testing, and observability tooling
• Act as a technical thought partner to stakeholders, translating complex data topics into actionable insights and clear communication