Analytics Engineer, Data Product Services

Role Overview

• Own the transformation layer.
• Shape what customers actually see.
• Guard data integrity and security.
• Know the end user better than they expect.
• Translate complex requirements into solutions you own end to end.
• Solve the hard SQL problems.
• Modernize alongside the platform.
• Use AI tools to accelerate development.

Requirements

• 3+ years of professional experience in a data-focused role (e.g., Analytics Engineer, BI Developer, Data Analyst).
• Strong proficiency in SQL is required.
• Strong hands-on experience with at least one enterprise BI platform (Looker, Tableau, Power BI, Qlik, etc.).
• Familiarity with modern data warehousing concepts and cloud data platforms (BigQuery, Snowflake, Redshift).
• Excellent written and verbal communication skills.
• Hands-on experience using AI-assisted development tools (e.g., Claude Code, Cursor).
• A strong focus on data integrity and security.
• A proactive, independent working style.

Tech Stack

• Amazon Redshift
• BigQuery
• Cloud
• SQL
• Tableau

Benefits

• Fully remote experience
• Flexible working hours
• Health insurance
• Professional development opportunities