Senior Data Engineer Analyst, BI

Revolution Parts is not just a pioneering force in the automotive eCommerce realm; we're actively seeking passionate and talented individuals to join our squad of Revolutionaries (yes, that's what we call ourselves!). As leaders in providing streamlined, user-friendly solutions, we empower automotive brands to maximize online sales. Our commitment to technology, top-notch customer service, and a profound understanding of the automotive market sets us apart.

If you're ready to revolutionize the eCommerce space for automotive parts and accessories, consider joining our dynamic team of Revolutionaries.

As a Senior Data Analyst, you will oversee the end-to-end lifecycle of data analysis projects for the Revolution Parts data platform. This role requires the design and implementation of complex analytical models that translate large-scale eCommerce datasets into actionable business outcomes. You will function as a high-level individual contributor, collaborating directly with business leaders to influence the strategic direction of our data products.

• 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 Revolution Parts 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.

• 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).

• 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.

The base pay range for this role is $90,000 - $120,000 per year.

Revolution Parts is proud to provide all full-time Revolutionaries with a comprehensive employment package including competitive compensation, career development, benefits, 401K match, parental leave, and many more valuable perks. You can learn more about our core-value driven culture at our career page.

Revolution Parts is an Equal Opportunity Employer; we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender orientation, gender identity or expression, sexual identity, sexual orientation, age, marital status, family status, genetic information, veteran status, or disability status.