Analytics Engineer - Remote

Role overview

Build and maintain the modeled data foundation behind reporting and business decisions. This hands-on role suits an early- to mid-career analytics engineer who can turn operational data and business needs into dependable datasets, while working with analytics leadership and learning the organization’s data landscape.

Responsibilities - Write clear, maintainable SQL to transform raw data into analytics-ready datasets and reporting models. - Develop and maintain staging, intermediate, dimensional, fact, and reporting-layer models using sound grain and relationship design. - Translate business requirements into production models and refine existing transformations as needs change. - Use version control and review workflows to develop, test, document, and deploy analytics code safely. - Investigate data discrepancies and failed jobs by tracing issues across source, transformation, and reporting layers. - Support business intelligence and self-service analytics by helping maintain consistent metric definitions and useful model documentation.

Requirements - Approximately two to four years of relevant experience in analytics engineering, data analytics, business intelligence, data engineering, or a related area. - Strong SQL skills, including joins, common table expressions, aggregations, window functions, and multi-step transformations. - Solid understanding of relational data and modeling concepts, including grain, cardinality, duplication, nulls, and dependencies. - Practical experience using Git for collaborative development and working with a SQL-based warehouse or relational database. - Analytical troubleshooting skills, attention to data accuracy, and ability to learn new tools and business processes. - Degree in a quantitative or computing field preferred, or equivalent relevant professional experience.

Nice to have

Experience with dbt or similar transformation frameworks; cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks; BI or ELT tools; Python, APIs, or semi-structured data; and retail, e-commerce, inventory, supply chain, or finance data. Familiarity with tools in the described stack is helpful but not required.

Benefits and work setup

Remote within the United States for candidates authorized to work there. The listed starting salary range is $105,000–$115,000, with offers based on location, skills, background, and experience. Benefits include medical, dental, and vision coverage, paid time off, ten company holidays, life insurance, a laptop, a monthly product allowance, and employee discounts.