Data Analytics Engineer

Role Overview

As a Data Analytics Engineer, you’ll turn raw data into reliable datasets that teams can use to make decisions. You’ll work with data engineers, analysts, and business stakeholders to define metrics, build reusable data models, and make data easier to find, understand, and use.

What You Will Do

Design, build, and maintain SQL-based data models in the cloud data warehouse to support reporting, self-service analytics, and business analysis. Translate business requirements into reusable datasets and work with stakeholders to define consistent KPIs across reports and dashboards.

Why It Might Be a Fit

You’ll own the analytics transformation layer, from gathering requirements and designing models through testing, deployment, and ongoing maintenance. Apply software engineering practices to analytics workflows, including version control, code reviews, and automated deployments.

Requirements

• Professional experience in analytics engineering, data engineering, BI engineering, or a related role, with hands-on ownership of production data models or pipelines.
• Advanced SQL skills, including complex joins, window functions, and query optimization.
• Experience designing analytical data models, including defining table grain and working with facts and dimensions.
• Hands-on experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or Databricks SQL, and a transformation framework such as dbt or an equivalent.
• Experience with Git, code reviews, automated data testing, and deployment workflows.
• Ability to translate business questions into data requirements and communicate modeling decisions to technical and non-technical stakeholders.

Tagged as: Data Analysis