Remote Analytics Engineer | Build Data Foundations & Models

BaubleBar Inc.; United States; Remote; USD 105,000 - 115,000; Full time

Benefits offered by this job

Company laptop

Product allowance

Employee discounts

Job summary

BaubleBar is seeking an Analytics Engineer to build the data foundation for reporting and decision-making in a remote-friendly role based in the United States. This hands-on position requires strong SQL, data modeling, and analytics engineering fundamentals to shape reliable metrics and scalable datasets.

You will write clean SQL, develop staging and dimensional models, collaborate with teams via GitHub, and investigate data quality issues to enable self-service analytics across the business.

Qualifications

• Strong SQL with CTEs, joins, window functions, and multi-step transformations.
• 2-4 years of experience in analytics engineering, data analytics, or business intelligence.

Responsibilities

• Write clean SQL and develop staging, intermediate, dimensional, fact, and reporting-layer data models.
• Use Git and GitHub for version control, code reviews, and deployment workflows.
• Investigate data quality issues and support BI and self-service analytics.

Skills

SQL

Analytics engineering

Data analytics

Business intelligence

Git

Tools

GitHub

Job description

BaubleBar is seeking an Analytics Engineer to build the data foundation for reporting and decision-making in a remote-friendly role based in the United States. This hands-on position requires strong SQL, data modeling, and analytics engineering fundamentals to shape reliable metrics and scalable datasets.

You will write clean SQL, develop staging and dimensional models, collaborate with teams via GitHub, and investigate data quality issues to enable self-service analytics across the business.