Analytics Engineer

Zillow Group Inc.; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Zillow Group Inc. invites an Analytics Engineer to build and own data models and metric definitions used across marketing, lead generation, and site traffic.

You will write transformation code, implement high‑quality metrics, and document work so BI tools, data scientists, and AI systems can rely on the foundation you lay. You will collaborate with data engineers, BI analysts, and stakeholders across time zones to ensure scalable, trusted data products and semantic layer definitions for

Qualifications

• 2+ years of professional data experience.
• Strong SQL and dimensional modeling basics.
• Experience with dbt or similar tooling, plus Git and CI/CD basics.
• Familiarity with cloud data platforms and BI tools.

Responsibilities

• Build and own data models and metric definitions.
• Write transformation code and implement trusted data products.
• Design data-quality tests and monitoring; document work for AI systems.

Skills

SQL

dbt

Git

CI/CD basics

Cloud data platforms

Databricks

Snowflake

BI tools

Tools

dbt

Git

CI/CD

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. Zillow Group is a strategic, mission-driven organization focused on delivering exceptional experiences and measurable outcomes. Our work spans cross-functional partnership, scalable programs and operational excellence in support of Zillow’s mission. We bring deep experience working across diverse teams in a dynamic, high-growth environment, balancing strategic thinking with hands‑on execution to drive meaningful business impact.

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.

You will get to 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)

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.

At Zillow, flexibility isn’t a perk - it’s how we work. Cloud HQ is our distributed work model, built on trust, clear systems, and the belief that you can do great work from wherever you are. It’s not about where you work. It’s about moving forward - together.