postscript
Analytics Engineer
At a Glance
- Location
- United States
- Experience
- 1–3 years
- Compensation
- l Love About Us Salary of USD $80,000 - $100,000 and significant equity regard
- Posted
- 2026-07-24T16:15:34-04:00
Key Requirements
Required Skills
Benefits & Perks
off Health, dental, vision insurance For information about how we use your p
Requirements
1-3 years of experience working in data, analytics, or business intelligence
Strong SQL skills — comfortable writing, reading, and debugging non-trivial queries (joins, aggregations, window functions, CTEs)
Familiarity with a cloud data warehouse (e.g., ClickHouse, Snowflake, BigQuery or similar)
Experience building data assets in dbt
Experience using AI to accelerate modeling, querying, and reporting
Experience building self-service tools in a BI platform (Omni, Looker, Hex, Tableau)
Responsibilities
The Analytics Engineering team is a high leverage function that plays a critical role in helping Postscript scale.
Our mission is to build trusted and insightful data assets that improve decision making at all levels of the company.
To accomplish our goals, we need versatile builders!
You’ll consult with stakeholders, build data pipelines, and enable self-service analytics.
Develop automated and resilient data transformation pipelines using software engineering best practices (e.g., version control, testing, code reviews)
Define processes for continuously monitoring data quality and build mechanisms to proactively resolve issues
About the Company
Salary of
USD
$80,000 - $100,000
and significant equity regardless of location
High growth startup - plenty of room for you to directly impact the company and grow your career!
Remote team - work from home (or wherever!)