FAQs
What is the primary role of the Data Analyst in the Global Strategy Analytics team?
The primary role involves providing top-quality business performance reporting, generating insights, and supporting strategic, data-driven decisions within Uber's Community Operations.
What qualifications are necessary for this position?
Candidates should have 3+ years of experience in analytics, business intelligence, data engineering, or a similar role, along with a BA/BS Degree in a quantitative field such as Economics, Business, Engineering, or Operations.
What technical skills are required for the Data Analyst role?
Candidates must be able to write complex SQL queries and have experience building dashboards using Tableau, PowerBI, or similar data visualization tools.
Is experience with Python and Generative AI required for this position?
No, but experience with Python and Generative AI is considered a plus.
What types of teams will the Data Analyst be collaborating with?
The Data Analyst will collaborate with cross-functional teams, including Product, Operations, and Finance.
What is the expected salary range for this position?
The base salary range for this role is USD$113,000 per year - USD$125,500 per year, depending on the location.
Will the Data Analyst have opportunities to present to leadership?
Yes, the Data Analyst is expected to provide leadership with data-driven recommendations and present insights to executive leadership teams.
What benefits are offered in addition to the salary?
In addition to the salary, employees are eligible to participate in Uber's bonus program and may receive equity awards and other types of compensation, along with various benefits.
Is experience in customer support or customer insights valued for this role?
Yes, experience working with customer support or customer insights is preferred and considered a bonus.
What kind of analyses will the Data Analyst be responsible for?
The Data Analyst will design and run deep analyses to support critical business performance reporting functions and develop analytical frameworks for decision-making.