Senior Data Engineer Analyst, BI

The Role

Key Responsibilities

• Lifecycle Management: Own data projects from initial requirements gathering through to stakeholder delivery, ensuring 100% alignment with business KPIs.
• Advanced Modeling: Develop complex SQL-based models and Python/R algorithms to extract insights from multifaceted eCommerce datasets (Sales, Payments, and Fulfillment).
• Data Governance: Design and implement automated validation processes to ensure the integrity and reliability of the RevolutionParts data warehouse.
• Visualization: Build and maintain sophisticated, interactive dashboards in Looker that empower customers to make real-time business decisions.
• Technical Mentorship: Act as a subject matter expert, providing guidance on SQL optimization and data strategy to the wider team.

Precise Requirements

• Experience: 10+ years of professional experience in data analytics, with at least 5 years specifically within an eCommerce or Fintech platform environment.
• Technical Stack: * SQL Mastery: Expert-level proficiency (window functions, CTEs, query optimization).
  • Modeling: Proven experience using DBT (Data Build Tool) for modular data modeling is required.
  • Languages: Proficiency in Python or R for statistical analysis.
  • BI: Hands-on experience developing in Looker (LookML experience is a plus).
• Domain Knowledge: Deep understanding of merchant performance metrics (e.g., GMV, Take Rate, Churn, CLV).
• Education: Bachelor’s degree in a quantitative field (CS, Data Analytics, Economics, or Math).

Preferred Qualifications

• Advanced degree (MS/MBA) in a quantitative or business discipline.
• Experience in digital marketing analytics or A/B testing methodologies.
• Comfortable with command-line tools and Git-based workflows.

Compensation