Manager, Analytical Engineer

Role: Manager of Analytics Engineering, responsible for developing and maintaining scalable data models and infrastructure to enable self-service analytics within a biopharma context. Key responsibilities include designing data architecture (star/snowflake schemas, SCDs), collaborating with stakeholders to gather requirements, developing centralized data layers, and ensuring data harmonization across manufacturing sites and platforms. The role emphasizes building robust pipelines using tools like dbt, SQL, Python/R, and managing data quality within a governed metadata framework. Qualifications: BA/BS in Computer Science, Data Science, or related fields; 4-6 years of relevant experience; proficiency in SQL, scripting, pipeline design, version control, and agile methodologies; excellent communication skills. Preferred: hands-on experience with dbt, Databricks, and data governance tools. High-Value: biopharma data architecture, domain-specific data marts, enterprise-level data harmonization, and analytical lifecycle management. Work setup: likely hybrid or remote, with a focus on cross-functional collaboration.