Jobs
Benefits & Perks
•Parental Leave
•Flexible Hours
•Equity
•Healthcare
Required Skills
TypeScript
JavaScript
Python
About the Team:
Uber Advertising's vision is to offer the most marketplace-centric advertising to connect Uber's platform users (eaters, riders, and earners) with advertisers. Our platform brings together location-based and shopping data with closed-loop attribution across its mobility and delivery channels for performance and brand campaigns, enabling advertisers to engage with our consumers through the entire marketing funnel - from awareness through purchase to loyalty and advocacy for Uber users.
About the Role
The Measurement Insights & Analysis team is looking for an analytical and strategic problem solver to partner with our sales team with the goal of improving the performance of our advertisers' campaigns on Uber and driving larger advertising revenue.
The Measurement Operations Analyst will focus on the post-campaign measurement for the global advertisers; this role will facilitate and drive key insights for partners, support sales staff, collaborate with internal partners to optimize our go-to-market strategy, increase overall product adoption and track performance targets. You will be responsible for driving strategic analysis of omni-channel campaigns of some of the largest advertisers in the world. Leveraging your business acumen and technical skills (such as SQL), you will derive both tactical and strategic insights and communicate them to senior leaders at Uber and at our advertisers.
What you will do
- Data insights and analysis - Manage post campaign reporting and insights for all advertisers across all Uber Advertising sales verticals (Enterprise Restaurants, Strategic Verticals, CPG and Agencies) for brand and performance media in the local country and region
- Advertising strategy- Develop and present client-facing, data-driven analysis with actionable recommendations, to improve performance of Uber's top advertisers' campaigns
- Measurement operation improvement - Contribute with building solutions to efficiently scale our measurement service to Sales and our advertisers
- Advocacy for local country and regional needs - Establish deep understanding of the local needs and nuances by partnering with local Account Executives, Account Managers and Merchant Operations teams, in order to customize measurement operations for that country / region
- Management of local measurement operation - Set clear objectives and measures to monitor local measurement operation progress and productivity, and hold internal partners accountable for delivering results. Drive business review cadence and develop reporting frameworks to facilitate alignment, learning and improvement, and accountability
What you will need
- 3+ years of experience in data analytics / data science, measurement and insights, consulting, or strategy with the ability to translate complex datasets into compelling and insightful narratives that effectively communicate key findings and drive informed decision-making.
- 2+ years of experience and 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).
- Ideally 1+ years experience Ads experience: marketing / advertising analytics and measurement; experience in omnichannel marketing, attribution, and ROI measurement, including performance and awareness of online advertising.
- Strong communication skills, with the ability to build relationships with internal and external stakeholders including sales, account management team and clients to effectively communicate technical work to non-technical audiences.
- Experience in developing and presenting strategic, action-oriented recommendations from complex analytics efficiently and engagingly to an executive audience
- Strong organizational skills, with the ability to effectively manage multiple projects simultaneously; project management experience in dealing with a high volume of reporting / analysis requests.
- Detail-oriented with a focus on accuracy and efficiency (process standardization) through meticulous documentation. You lean in and embrace the details to map processes, clean data, and write / review code.
- Bachelor's degree or equivalent in math, statistics, physics, chemistry, engineering, economics, computer science, operational research or similar quantitative field.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.
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About Uber
Reviews
3.1
10 reviews
Work Life Balance
4.2
Compensation
2.3
Culture
3.5
Career
2.0
Management
2.5
45%
Recommend to a Friend
Pros
Flexible hours and schedule
Meeting different people and cultures
Make your own hours
Cons
Inconsistent and low pay
Safety concerns with passengers
Traffic and difficult drivers
Salary Ranges
23,534 data points
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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