FAQs
What is the role of a Data Analyst in the Global Strategy Analytics team?
The Data Analyst will support executive-level business performance reporting and insights generation processes, drive alignment across teams, provide data-driven recommendations, develop analytical frameworks for decision-making, and build and maintain scalable data products.
What qualifications are required for this position?
The basic qualifications include 3+ years of experience in analytics, business intelligence, or a similar role, and a BA/BS Degree in Economics, Business, Engineering, Operations, Research, or another quantitative field (or equivalent work experience).
Is experience with SQL necessary for this role?
Yes, the ability to write complex SQL queries is a requirement for this position.
What tools should I be familiar with for data visualization?
Candidates should have experience building dashboards with Tableau, PowerBI, or similar data visualization tools.
Are there any preferred qualifications for this position?
Yes, preferred qualifications include experience with Python, experience in Generative AI, customer support or customer insights, and experience presenting to executive leadership teams.
What is the salary range for this position?
For New York and San Francisco-based roles, the base salary range is USD$113,000 to USD$125,500 per year.
Will there be additional compensation apart from the base salary?
Yes, in addition to the base salary, you will be eligible to participate in Uber's bonus program and may receive an equity award and other types of compensation.
What benefits does Uber offer for this role?
Employees in this role are eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.
Is collaboration with other teams required for this role?
Yes, collaboration across various teams such as Product, Operations, and Finance is essential for generating insights and making strategic decisions.
What impact will this role have on the company?
This role has a highly visible impact as it will contribute to driving global changes in Uber's products and services by supporting data-driven decision-making.