Analytics Engineer Job in Postman

Analytics Engineer

Location: Bengaluru

Work Type: Full-Time

About Postman

Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and enabling teams to create better APIs, faster.

Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners.

The Opportunity

We are seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready.

You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms.

Key Responsibilities

• Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices.
• Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs).
• Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions.
• Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction.
• Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools.
• Collaborate with analysts and business partners to define metrics and deliver self-serve data assets.
• Document models, lineage, and transformation logic to make data discoverable and usable across the company.
• Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices.
• Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability.

Enabling Self-Serve Analytics & AI

• Build transformations that empower business stakeholders and analysts to explore data confidently.
• Ensure metric definitions are consistent, discoverable, and reusable across BI tools.
• Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection.
• Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment.

About You

• 3 5 years of experience in analytics engineering roles.
• Advanced SQL skills (query optimization, performance tuning).
• Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations.
• Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines).
• Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent).
• Familiarity with Medallion architecture and modern lakehouse approaches.
• Hands-on experience with Redshift; exposure to Databricks is a plus.
• Proficiency with GitHub and CI/CD pipelines for analytics code.
• Strong fundamentals in data quality, governance, and lineage tracking.

What We Offer

• Flexible schedule with a hybrid work model.
• Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend.
• Access to wellness programs, team-building events, and donation-matching initiatives.
• An inclusive, collaborative culture where everyone can thrive and grow.

Our Values

• Curiosity: Explore and innovate fearlessly.
• Transparency: Communicate openly about successes and failures.
• Focus: Set clear goals aligned with a bold vision.
• Inclusion: Every voice matters.
• Excellence: Deliver the best products and experiences together.