Vroom
Prior Listings
- Manager, Data Science
- Data Analyst
- Sr. Data Analyst, Product
- Associate Data Analytics Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analytics Engineer
- Senior Data Scientist
- Manager, Advanced Analytics Supply Chain
- Sr. Director of Data Infrastructure
- Team Lead, BI Engineering
- Sr Data Analyst
- Senior Advanced Analytics Analyst
- Senior Advanced Analytics Analyst
- Team Lead, BI Engineering
- Senior Advanced Analytics Analyst
- Senior Data Analyst, Advanced Analytics
- Machine Learning Operations Engineer
- Senior Supply Chain Analyst, Advanced Analytics
Data Analyst
Data Analyst
Vroom is an innovative end-to-end ecommerce company that is revolutionizing the car buying experience. Our scalable, data-driven technology brings all phases of the vehicle buying and selling process to consumers wherever they are and offers an extensive selection of vehicles, transparent pricing, competitive financing, and contact-free, at-home pick-up and delivery. We have experienced tremendous growth and have become a disruptive force in the automotive industry. Vroom is an exciting, dynamic workplace, and there's no better time to join the team than right now.
We are growing our team and seeking skilled Data Analysts! As a member on this team you will support the product managers by transforming data into insights. You will also support data scientists by analyzing model performance and suggesting features and feature engineering for model inputs.
Responsibilities:
- Partner with data scientists and product managers to provide meaningful and actionable insights on performance of models.
- Identify opportunity areas for the business using a variety of different data sets, including active and historic vehicle listings and user behavior/engagement.
- Transform complex datasets into easily digestible visualizations using a variety of analytics tools.
- Translate and communicate results to stakeholders, adjusting the level of technical detail as needed.
Required Skills:
- SQL
- Python / Pandas
- Data analysis: Apply statistical modeling and machine learning tools to large data set
- Data wrangling: Ability to extract and manipulate large data sets from data warehouse, database, and flat files
Desired Skills:
- AWS
Education and Experience:
- Requires a Bachelor’s degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.
Commitment to Diversity and Equal Employment Opportunity
Vroom is an equal opportunity employer that is committed to creating a work environment where all employees can find their drive. To do that, we champion a workplace where each and every person is treated with dignity and respect and is valued for their unique perspective and contributions. Our values of SPEED: Service, Progress, Employees, Engagement, and Development are only possible in an environment where every individual has the ability to bring their whole selves to work and contribute fully.
Vroom’s policy is to maintain a working environment that encourages mutual respect, promotes harmonious and congenial relationships between employees, and is free from all forms of discrimination and harassment of any employee (or applicant for employment or service provider) by anyone, including supervisors, co-workers, vendors, or clients. Harassment and discrimination in any manner or form is expressly prohibited. There is no tolerance for discrimination or unequal treatment of any kind on the basis of race, color, religion, creed, gender, sex, sexual orientation, gender identity or expression, pregnancy, sexual and reproductive health decisions, national origin, age, disability, genetic information, marital status or civil partnership/union status, familial status, military or veteran status, predisposition or carrier status, domestic violence victim status, alienage or citizenship status, unemployment status, sexual violence or stalking victim status, caregiver status, or any other characteristic protected by law.
This practice applies to all terms, conditions and privileges of employment including, but not limited to, recruitment, selection, promotion, demotion, transfer, layoff, rehire, termination of employment, development and training, compensation, benefits and retirement.
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