Analyst Engineer

Summary

Join Thanx, a leading loyalty and guest engagement platform for restaurants, as a Data Analyst. You will own data integration from first-party and third-party sources, build and maintain dbt models, define LookML models, and partner with data analysts. Responsibilities include ensuring clean, reliable data in the Snowflake data warehouse, transforming raw data into analytics-ready tables, making data accessible in Looker, and validating analytical outputs. The ideal candidate has 1–3 years of experience in data modeling or a similar role, fluency in SQL, and experience with modern data stacks (Fivetran, dbt, Snowflake, Looker). Attention to detail and a commitment to data quality are essential. Bonus points for LookML experience, familiarity with dbt best practices, and experience with predictive modeling.

Requirements

• You have 1–3 years of experience in data modeling, analytics engineering, or a similar role
• You’re fluent in SQL and comfortable navigating complex data relationships and transformations
• You’ve worked with modern data stacks — ideally including Fivetran , dbt , Snowflake , and Looker (or similar tools)
• You enjoy building clean, well-documented datasets that help analysts move fast and stay confident in their results
• You collaborate well with others and understand how to translate analytical needs into technical implementation
• You’re detail-oriented, reliable, and care deeply about data quality and structure

Responsibilities

• Own data integration from both first-party and third-party sources using tools like Fivetran , ensuring clean, reliable data lands in our Snowflake data warehouse
• Build, maintain, and optimize dbt models that transform raw data into clean, documented, analytics-ready tables
• Define and manage LookML models to make transformed data accessible and intuitive for analysts in Looker
• Partner closely with data analysts to ensure the right data is available, performant, and structured for business-critical reporting and insights
• Validate and QA analytical outputs, supporting the integrity and accuracy of the dashboards and analyses delivered across the company

Preferred Qualifications

• Experience with LookML and designing scalable, intuitive data explores in Looker
• Familiarity with dbt best practices — modular models, testing, documentation, etc
• Exposure to data observability or testing frameworks to ensure model reliability and trust
• Hands-on experience with predictive modeling or machine learning to support use cases like customer segmentation or churn prediction
• Interest in the restaurant or hospitality space — experience working with restaurant data is a plus. More generally, experience working with consumer data and commerce of any type is a plus