[Hiring] Analytics Engineer @BaubleBar

Role Description

We are seeking an Analytics Engineer to join our Data Analytics team and help build and maintain the data foundation that supports reporting and decision-making across the organization. This is a hands-on, early-to-mid-career role for someone with an excellent foundation in SQL, data modeling, and modern analytics engineering practices. The Analytics Engineer will work closely with analytics leadership to translate business requirements into reliable, scalable data models while developing deeper technical and business expertise.

Our current data stack includes Fivetran, dbt, GitHub, Snowflake, and Power BI. Experience with our exact technology stack is not required. Strong technical fundamentals, sound data-modeling instincts, and the ability to learn quickly are more important than experience with a particular platform.

Qualifications

• Approximately 2-4 years of relevant experience in analytics engineering, data analytics, business intelligence, data engineering, or a related field
• Strong understanding of relational data and data modeling concepts
• Experience transforming operational data into structured datasets used for analytics and reporting
• Practical experience using Git for version control and collaborative development
• Experience working with a SQL-based cloud data warehouse or relational database
• Strong analytical and troubleshooting skills with the ability to break complex data problems into logical, testable steps
• Strong attention to detail and commitment to data accuracy
• Curiosity about how business processes generate and affect data
• Ability to learn unfamiliar technologies and business domains quickly
• Bachelor's degree in Analytics, Data Science, Computer Science, Information Systems, Mathematics, or a related quantitative field preferred, or equivalent relevant professional experience

Requirements

• Excellent SQL skills are the most important technical qualifications for this position.
• Comfortable working with complex SQL involving joins, CTEs, aggregations, window functions, conditional logic, and multi-step transformations.
• Understand what your SQL is doing to the underlying data and be able to reason about grain, relationships, cardinality, duplication, nulls, and unexpected results.
• Position will be remote (residing anywhere in the United States and authorized to work in the U.S.)

Benefits

• Starting salary range for this role is $105,000-$115,000. Starting offer within that range will factor in work location, skills, background and years of relevant experience.
• Generous benefit package including: Outstanding company contribution towards employee premiums for Medical, Dental and Vision Insurance, PTO, 10 paid Company Holidays, Company paid Life Insurance & more!
• Company laptop, free monthly product allowance and employee discounts.