Jobs
Benefits & Perks
•Generous paid time off and holidays
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Parental leave
•Healthcare
•Parental Leave
Required Skills
Python
PostgreSQL
JavaScript
About the Role
We are looking for a driven and detail-oriented individual to join our team at the Talent Sourcer. In this role, you will be responsible for delivering hiring results, managing talent pipelines, and working with stakeholders across different locations. You will need to be adept at handling a high volume of applications and mapping talent effectively to meet our hiring objectives.
What You'll Do
- Talent Pipelining: Proactively build and manage talent pipelines to ensure a steady flow of qualified candidates.
- Talent Mapping: Identify and map talent within the industry to align with current and future hiring needs.
- Application Management: Efficiently manage a high volume of applications, ensuring timely and effective candidate communication.
- Cross-Location Collaboration: Work closely with stakeholders across different locations to align on hiring strategies and processes.
- Problem Solving: Address challenges within your scope autonomously, escalating complex issues as needed.
- Collaboration: Partner with immediate colleagues, managers, and other team members to ensure a smooth and effective hiring process.
Basic Qualification
- Experience: 2+ years of experience working with job boards (e.g., Naukri, Instahyre, biz Reach, Enjapan etc.).
- Talent Search: Proven ability to conduct effective talent searches across various platforms.
- LinkedIn Proficiency: Skilled in identifying and sourcing talent through LinkedIn.
- Technical Understanding: Basic understanding of technical concepts and terminology.
Preferred Qualifications
- Talent Pipelining: Proactively build and manage talent pipelines to ensure a steady flow of qualified candidates.
- Talent Mapping: Identify and map talent within the industry to align with current and future hiring needs.
- Application Management: Efficiently manage a high volume of applications, ensuring timely and effective candidate communication.
- Cross-Location Collaboration: Work closely with stakeholders across different locations to align on hiring strategies and processes.
- Problem Solving: Address challenges within your scope autonomously, escalating complex issues as needed.
- Collaboration: Partner with immediate colleagues, managers, and other team members to ensure a smooth and effective hiring process.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it 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
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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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