Analytics Engineer

Zillow Group; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Zillow Group in Bengaluru is seeking an Analytics Engineer to build and own data models and metric definitions used by marketing, lead generation, and site traffic teams.

You will write transformation code, implement trusted metrics, and work with data scientists and BI analysts across time zones to deliver reliable data products.

The role emphasizes data quality, semantic layer work, and collaboration with data engineering to fix issues at the source.

Qualifications

• 2+ years of professional data experience with metrics-as-code and semantic modelling preferred.
• Strong SQL; understand grain, joins, and schema evolution.
• Experience with dbt or equivalent transformation framework, plus Git and CI/CD basics.
• Comfort operating across a large time-zone gap and asynchronous communication.
• Track record of enabling AI systems and ML workflows to consume structured data.
• Familiarity with cloud data platforms (Databricks, Snowflake) and BI tools (Tableau, Looker).
• Open to candidates from non-traditional backgrounds.

Responsibilities

• Build and own data models and metric definitions using SQL and dbt.
• Design data-quality tests, monitoring, and alerting so data products are trusted by default.
• Partner with data engineering to define upstream requirements and fix data-quality issues at the source.
• Work directly with U.S.-based BI analysts, data scientists, and stakeholders to understand needs.
• Contribute to semantic layer definitions that make metrics usable by BI tools, data scientists, and AI systems.

Skills

SQL

dbt

Metrics as code

Git

Databricks

Looker/Tableau

Asynchronous comms

ML workflows

Cloud data platforms

Tools

Databricks

Snowflake

Tableau

Looker

Job description

About the team

At Zillow Group, we are constantly innovating ways to operate, monetize, and improve our nationwide real estate marketplace. The Data Science, Analytics and Engineering team supports several lines of business across the company by partnering closely with business leaders and engineering to model, analyze, and surface business relevant metrics that inform both short- and long-term decision-making. Our structure is very flat and you will soon find yourself interacting directly across a wide variety of roles.

About the role

As an Analytics Engineer, you\'ll build and own the data models and metric definitions that stakeholders across Zillow depend on for consumer analytics, including marketing, lead generation, and site traffic. You\'ll work with your team and your stakeholders within business domains to create and manage the metrics that drive day-to-day operations and strategic priorities. You\'ll write transformation code, implement performant metrics as trusted data products, build data-quality tests, and document your work so people and increasingly, AI systems can trust and build on top of the foundation you lay.

• Build and maintain dimensional data models and metric definitions using SQL and dbt (or equivalent)
• Design data-quality tests, monitoring, and alerting so your data products are trusted by default
• Partner with data engineering to define upstream requirements and fix data-quality issues at the source
• Work directly with US-based BI analysts, data scientists, and stakeholders to understand what they actually need, not just what they wrote down
• Contribute to semantic layer definitions that make metrics usable by BI tools, data scientists, and AI systems alike

This role has been categorized as an Office position. “Office” employees regularly work at the Zillow India office for approximately 80 to 100 percent of their time each month. Employees must live within a reasonable commuting distance of the office. Zillow has not defined a reasonable distance, and expects employees will use judgment in determining this for themselves and understand the implications re: time commitment and cost of daily commute.

Who you are

• 2+ years of professional data experience, with metrics-as-code and semantic modelling preferred
• Strong SQL, with understanding of how grain, joins, and schema evolution affect relational modeling and metric implementation
• Experience with dbt or an equivalent transformation framework, plus Git and CI/CD basics
• Comfort operating across a large time-zone gap; proactive asynchronous communication
• A 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)
• Zillow values the experience and perspective of candidates with non-traditional backgrounds — we encourage you to apply if you have transferable skills

Get to know us

At Zillow, we’re reimagining how people move—through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you\'re working in tech, sales, operations, or design, you’ll be part of a company reshaping an industry and helping more people make home a reality.

Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work For® in 2026, and included on TIME’s America’s Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.

No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry—and your career—forward, together.

Zillow Group is committed to fostering an inclusive, innovative environment and to providing equal employment opportunities. We comply with applicable laws that prohibit discrimination in employment and recruitment.

If you have a disability or special need that requires accommodation during the recruitment process, please contact your recruiter directly.

Qualified applicants will be considered for employment in accordance with applicable law.