RevolutionParts is a pioneering force in the automotive eCommerce realm, seeking passionate individuals to join their team. As a Senior Data Analyst, you will oversee data analysis projects, design analytical models, and collaborate with business leaders to extract actionable insights from large datasets.
Responsibilities:
- Oversee the entire lifecycle of data analysis projects from requirements gathering to delivery, ensuring alignment with business objectives
- Design, develop, and implement complex analytical models and algorithms to extract actionable insights from large datasets
- Provide technical guidance, mentorship, and support to junior data analysts, fostering their professional growth and development
- Work closely with data engineers, product managers, and business stakeholders to define data strategy, identify new data sources, and improve data quality
- Create and manage interactive dashboards and reports using BI tools (e.g., Looker) to monitor key performance indicators and support data-driven decision-making
- Implement and monitor data governance/validation processes to ensure the accuracy, completeness, and reliability of data used for analysis and reporting
- Write efficient SQL queries and optimize data retrieval processes to improve the performance of analytical workflows
Requirements:
- Bachelor's degree in Business, Data Analytics, Computer Science, Economics, or a related field
- 7+ years of experience working on eCommerce-related data platforms
- MUST have DBT (Data Build Tool) & Medallion Architecture experience
- Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel, etc.)
- Hands-on experience with BI tools like Tableau, Power BI, Looker, or similar visualization tools
- Experience working with large datasets, data cleaning, data manipulation, and data build tool
- Strong analytical mindset with the ability to derive actionable insights from complex datasets
- Ability to translate data into clear, concise reports and presentations for both technical and non-technical stakeholders
- Excellent communication skills and experience managing stakeholder relationships
- Strong project management skills, with the ability to meet deadlines and handle multiple priorities in a fast-paced environment
- The ability to quickly understand and analyze issues, provide creative solutions, and make timely decisions
- A can-do attitude and a willingness to take on and own new projects
- Proven examples of using AI to improve outcomes in prior roles