Analytics Engineer in Juristat

Juristat is an innovative company focused on transforming the patent prosecution process at the United States Patent and Trademark Office (USPTO). Our mission is to bring transparency, predictability, and equity to patent prosecution by using data-driven insights and streamlined workflows. Juristat’s platform empowers law firms and companies to achieve faster and more successful patent outcomes by removing uncertainty and complexity. We operate with small, agile teams that emphasize rapid development and continuous improvement, driven by passion and a desire to make meaningful change in the legal technology landscape.

We are looking for a highly skilled Analytics Engineer with more than five years of experience in analytics engineering, data modeling, or data warehousing. The ideal candidate has strong capabilities with SQL, preferably Postgres, and is proficient in Python (or Scala/R) to develop efficient and scalable data pipelines.

Experience working with modern data stack tools like Snowflake, BigQuery, Apache Airflow, Looker, or Tableau is essential. Familiarity with software engineering best practices—including version control, testing, and continuous integration/deployment (CI/CD)—is required to produce high-quality data infrastructure.

The candidate must have the ability to translate complex business requirements into technical specifications and scalable data models. Strong communication skills and a collaborative mindset are critical for partnering effectively with stakeholders from various departments.

Soft skills including attention to detail, systems thinking, and a passion for improving data accessibility and integrity are vital. As the first Analytics Engineer in our team, you will also be responsible for defining best practices and guiding the analytics engineering discipline within the company.