FAQs
What is the primary focus of the Data Analyst role within the Customer Experience Analytics team?
The primary focus is on Uber Eats consumer support analytics, specifically aimed at reducing defective experiences, increasing user retention, and evaluating the effectiveness of policies and technology.
What kind of projects will a Data Analyst work on in this role?
A Data Analyst will work on high-priority projects that involve conducting analyses to improve customer interactions, driving experimentation, building scalable tools, and uncovering insights from support interactions.
What qualifications are required for the Data Analyst position?
The basic qualifications include 2+ years of experience in data analytics or similar roles, a BA/BS degree, and experience with SQL and data visualization tools such as Tableau or PowerBI.
Are there any preferred qualifications for this position?
Yes, preferred qualifications include experience with Python/R, analyzing advanced A/B testing data, working with customer support or insights, and strong experience in building dashboards for senior leadership and cross-functional teams.
What is the salary range for this position based in Chicago, IL?
The base salary range for this position in Chicago, IL is USD$102,000 to USD$113,000 per year.
Can I participate in Uber's bonus program if I'm hired for this role?
Yes, you will be eligible to participate in Uber's bonus program, and you may also be offered an equity award along with other types of compensation.
What benefits are available to employees in this role?
Employees will be eligible for various benefits, which can be detailed further at the link provided in the job listing (https://www.uber.com/careers/benefits).
Is experience in A/B testing important for this role?
Yes, experience in analyzing advanced A/B testing data and exposure to experimental design is considered a plus for this role.
Will I be working with multiple teams across Uber in this position?
Yes, you will have exposure to multiple stakeholders across Uber, including teams from Operations, Product, and Engineering.
What tools or technologies should I be familiar with for this position?
You should be familiar with SQL, data visualization tools like Tableau or PowerBI, and it is preferred to have experience with programming languages such as Python or R.

