We're working with a client who is looking for innovation within their product team. My client is looking for a Senior Analytics Engineer who will play a pivotal role in scaling and optimizing the Product Operations (Prod Ops). This role is responsible for building and maintaining high-value data assets, defining and implementing analytics development strategies, and ensuring consistent operational excellence within a remote, global environment.
THE ROLE AND RESPONSIBILITIES
1. Partner with technical and non-technical stakeholders to bridge the gap between business challenges and technical solutions.
2. Own and maintain core Product Operations data assets that serve as the Source of Truth for critical business questions.
3. Develop scalable data models to facilitate efficient and high-performance analysis of HubSpot's products and operations.
4. Curate, organize, and document data and reporting environments across Looker, dbt, and Amplitude.
5. Collaborate with Business Intelligence (BI) and Data Engineering teams to enhance data accessibility and infrastructure.
6. Define and promote best practices for SQL query optimization, data modeling, and analytics development within Snowflake SQL, dbt, LookML, and Git.
7. Establish team-wide coding standards, documentation processes, and development best practices, including code reviews and testing framework...