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Zillow Group is seeking an Analytics Engineer to join the Data Science, Analytics and Engineering team in Bengaluru. In this role, you will build and own data models and metric definitions that support consumer analytics across the organization, including marketing, lead generation, and site traffic analysis.
You will work cross-functionally with business leaders, BI analysts, data scientists, and stakeholders to create trusted data products that drive both day-to-day operations and strategic decision-making. Your responsibilities include writing transformation code using SQL and dbt, implementing performant metrics, designing data-quality tests and monitoring, and documenting your work to ensure reliability for both human users and AI systems.
Key responsibilities:
- Build and maintain dimensional data models and metric definitions using SQL and dbt or equivalent tools
- Design data-quality tests, monitoring, and alerting to ensure data products are trusted by default
- Partner with data engineering to define upstream requirements and resolve data-quality issues at the source
- Work directly with US-based BI analysts, data scientists, and stakeholders to understand their actual needs
- Contribute to semantic layer definitions that make metrics usable across BI tools, data science workflows, and AI systems
The team operates with a flat structure, and you will interact directly across diverse roles. Zillow Group is a strategic, mission-driven organization focused on delivering exceptional experiences in the real estate marketplace. The role is based in the Bengaluru office, where you will work on-site approximately 80-100% of the time each month and must live within reasonable commuting distance.
Requirements:
- 2+ years of professional data experience, with metrics-as-code and semantic modeling preferred
- Strong SQL skills with understanding of grain, joins, and schema evolution in relational modeling and metric implementation
- Experience with dbt or equivalent transformation framework, plus Git and CI/CD basics
- Comfort operating across large time-zone gaps with proactive asynchronous communication skills
- Track record of evolving how AI systems, conversational analytics tools, and machine learning workflows consume structured data
- Familiarity with cloud data platforms (Databricks, Snowflake, or similar) and BI tools (Tableau, Looker, or similar)
- Non-traditional backgrounds with transferable skills are encouraged to apply
