Postman is the world's leading collaboration platform for API development. Postman's features simplify each step of building an API and streamline collaboration to help create better APIs—faster. More than 20 million developers and 500,000 organizations worldwide use Postman today.
Our customers are doing more and more astounding things with the Postman product every day, and as a result, we are growing rapidly.
About the team
Data team at Postman acts as a central hub for asking analysis questions. We are a small team of engineers and analysts who believe in impact driven work.
We believe in democratisation of data and work towards building data products so that decision making through data is as self-served as possible.
We are major supporters of knowledge distribution, be it factual or philosophical. We don't shy away from getting our hands dirty whenever it comes to anything data.
Do come prepared because you will be in for one of the craziest ride of your lifetime.
As an analytics engineer at the intersection of business and product teams, analysts and data engineers - you would be partnering with them to gain business/product context, identify analytics requirements and define the team's data models.
Help build and maintain the analytics layer of our team's data environment (dbt and Looker) to make data standardized, extensible and easily accessible. You would be ensuring that data models are logical, built for scale and support various business use-cases.
Provide data modeling expertise to analytics model contributors through code reviews and knowledge sharing to help deliver optimal, DRY, and scalable database designs and queries in Redshift.
Partner with both analytics and data engineering teams to improve the overall data team's workflow in transforming, testing, deploying, and documenting data; thus driving effective use of time and resources.
Support company-wide efforts to to improve transparency and automation around data quality, availability, performance and governance.
2 to 5 years of experience designing and building reliable, scalable and maintainable data systems.
Proficiency in SQL, able to write structured and efficient queries in large data sets.
Working proficiency in Python.
Have used a transformation framework, like dbt, to integrate complex data across different systems. Experience designing data stores to power BI platforms (like Looker) is a plus.
Experience and strong knowledge of data warehousing concepts, database table design and analytics platforms.
Have a strong product mindset and have experience in analytical problem solving and building analytics solutions in previous roles.
We offer competitive salaries and benefits, and a flexible schedule working with a fun, collaborative team. Enjoy full medical coverage, unlimited PTO, and a monthly lunch stipend. (Yes, seriously. We want you to eat well wherever you’re at.) Plus, our wellness program will help you stay healthy from your location with fitness-related reimbursements. Our frequent and fascinating virtual team-building events will keep you connected, while our donation-matching program can support the causes you care about. We’re building a long-term company with an inclusive culture where everyone can be the best version of themselves, and we want you to be part of it. Join us, why dontcha?