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Job Description
Structured overview of role & requirementsAbout This Role
Own and develop analytical domains end-to-end including semantic models, reusable datasets, and governed metrics for multi-domain scalability.
Translate ambiguous business requirements into scalable, production-quality analytical data products using SQL, Python, Snowflake, and dbt.
Collaborate across analytics, engineering, product, and AI teams, establish automated testing, documentation, and data quality controls for trusted analytics reuse.
Minimum Requirements
5+ years experience in analytics engineering, data engineering, BI engineering, or advanced data analytics.
Bachelor’s degree in technical, analytical, or related field or equivalent practical experience.
Advanced skills in SQL, Python, Snowflake, dbt, and dimensional modeling.
Experience with production analytical model design, Git, automated testing, CI/CD, and cross-functional team collaboration.
Ideal Candidate Profile
Experienced in designing and governing reusable analytical semantic and metrics layers across products and domains.
Skilled at independently resolving ambiguity in requirements and making clear modeling and architectural decisions.
Capable of mentoring or guiding junior engineers and establishing standardized engineering best practices.