The Role
The Senior Data Analyst will manage the lifecycle of data analysis projects for RevolutionParts, develop complex models using SQL and Python/R, ensure data integrity, create dashboards in Looker, and mentor the team on data strategy.
Summary Generated by Built In
RevolutionParts 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 RevolutionParts 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.
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
To ensure a controlled assessment, candidates must meet the following specific criteria:
- 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.
Are you not sure you meet 100% of the qualifications? You should still give it a shot! Research shows that men will apply to a job when only meeting 60% of the requirements, whereas women and members of other underrepresented groups typically only apply when they meet every single requirement. At Revolution Parts, we are Revolutionaries. We build tools, products, and our people. We value diversity in backgrounds and thoughts, so take a shot and apply! Please highlight some of your accomplishments in your resume and cover letter so we can talk about how you can grow with us.
RevolutionParts 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.
RevolutionParts 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.
Please Note: You will only receive correspondence through the Gem ATS or from a @revolutionparts.com email address. If you are receiving communication through any other platform or domain, it may be fraudulent, and we urge you to ignore the communication.
CompensationThe base pay range for this role is $90,000 – $120,000 per year.
Skills Required
- 10+ years of experience in data analytics
- 5 years of experience in eCommerce or Fintech
- Expert-level proficiency in SQL
- Experience with DBT for modular data modeling
- Proficiency in Python or R
- Experience in developing in Looker
- Bachelor's degree in a quantitative field
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The Company
What We Do
RevolutionParts accelerates OEM parts and accessories sales for every major automotive brand. The company’s core focus is on delivering an enterprise-ready platform for parts retail and wholesale commerce channels. The RevolutionParts platform powers more than $425M in annual sales and reaches millions of unique buyers globally. For more information, visit www.revolutionparts.com.
