FAQs
What is the focus of the Measurement & Insights Analyst role at Uber Ads?
The focus of the Measurement & Insights Analyst role is on post-campaign measurement for global advertisers, driving insights for partners, supporting sales staff, and optimizing go-to-market strategies to enhance campaign performance and increase advertising revenue.
What qualifications are required for the Measurement & Insights Analyst position?
A Bachelor's degree or equivalent in a quantitative field such as math, statistics, physics, chemistry, engineering, economics, or computer science is required, along with 3+ years of experience in data analytics, measurement and insights, or consulting.
What technical skills are necessary for this role?
Advanced skills in data querying (e.g., SQL), data analysis (e.g., Google Sheets, Python, MS Excel), and data visualization (e.g., Looker, Google Data Studio, Tableau) are necessary for the role.
How many years of advertising experience are preferred for this position?
Ideally, at least 1+ years of experience in advertising analytics and measurement, including knowledge of omnichannel marketing and ROI measurement, is preferred.
What type of projects will the Measurement & Insights Analyst manage?
The analyst will manage multiple projects related to post-campaign reporting and insights, advertising strategy development, and measurement operation improvement for Uber's advertising verticals.
Are strong communication skills important for this position?
Yes, strong communication skills are essential for building relationships with internal and external stakeholders and effectively communicating complex analytics to non-technical audiences.
What is the importance of detail orientation for this role?
Detail orientation is crucial for ensuring accuracy and efficiency in reporting and analysis, as well as for process standardization and meticulous documentation.
Is project management experience beneficial for this role?
Yes, project management experience is beneficial, especially in managing a high volume of reporting and analysis requests efficiently.
How does this role contribute to the overall success of Uber Ads?
This role contributes by providing data-driven insights that help improve the performance of advertising campaigns, thus driving larger advertising revenue and enhancing the overall effectiveness of Uber's marketing efforts.