Fair is a FinTech company that provides a new way to shop, get approved and pay for your next car—all on your phone. It gives customers the freedom to drive the car they want for as long as they want, and the flexibility to turn it in at any time. Fair is headquartered in Santa Monica, California.

Our name pretty much says it all. It’s our culture. It’s the way we treat our customers, our network of dealers and our fast-growing family of employees. We believe in hard work, and we believe hard work should be rewarded. That’s why we offer equity incentives, education reimbursement, 100% coverage of medical, vision and dental premiums for employees and their families, 100% paid parental leave for 4 months, cellphone reimbursement, 401(k) retirement plans and free lunch 5 days a week for every employee. The way we see it, better to be more than fair than not to live up to our name.

Who You Are:

You are a business intelligence analyst who dreams data. You will hit the ground running on day one but will be humble enough to learn, too. You will make sense of all the data coming in, organize it, and make it easily available for consumption. You are a regular Van Gogh when it comes to data.

What You’ll Do:

• Collaborate with business users and executives to gather data requirements
• Find, extract, and use SQL to collect data for absorption by our ETL process
• Transform and cleanse data into a reliable database to be used as a "single source of truth" for reporting
• Use tools such as SQL and Tableau to provide data analysis
• Conduct research on datasets to find new insights for the business
• Work with leadership to prioritize business and information needs and present findings
• Maintain and improve our internal dashboard product and data warehousing needs

What You Have:

• 2+ years experience as a BI or data analyst or a similar function
• Experience with SQL, Tableau is a must to build out dashboards
• Experience with Github
• Experience with Python (pandas/numpy/sqlalchemy)
• Problem solving and data guru skills
• Understanding of fundamental probability and statistical concepts
• Strong analytical skills with high attention to detail and accuracy
• Ability to work collaboratively in a team environment
• BS in a quantitative field

Bonus Points:

• Experience with Treasure Data is a huge plus
• Experience with AWS services (AWS Console, Redshift, S3)
• Experience with data warehouse and ETL
• Experience with Workflow Management Tools (Airflow / Workflow / DigDag)