채용
Benefits & Perks
•Unlimited Pto
•Healthcare
•Parental Leave
Required Skills
PyTorch
Airflow
Apache Spark
About the Role
As a Risk and Compliance Specialist, you will play a pivotal role in ensuring the highest service quality standards, risk mitigation, and compliance within our organization. Your responsibilities will revolve around analyzing data, identifying potential risks, implementing strategies to address compliance issues, and fostering a culture of continuous improvement. This role requires strong analytical skills, problem-solving abilities, effective communication, and a collaborative mindset to work with various organizational stakeholders. The ideal candidate will be proficient in Google Sheets and demonstrate a commitment to execution excellence.
What the Candidate Will Need
- Analyze metrics, risk factors, and compliance standards to identify areas for improvement
- Develop and implement strategies to enhance service quality, mitigate risks, and ensure compliance with regulatory requirements
- Identify emerging risks and trends, and proactively recommend solutions to mitigate potential impacts on service quality and compliance
- Work on content development in case of gaps in the SOPs/KB pages
- Utilize analytical tools, including Google Sheets, to collect, organize, and analyze data for informed decision-making
- Work with TLs to improve the team's TPH, R2, insights & impact metrics
- Willingness to work in shifts (rotating day/night shifts, rotating weekend offs)
---- Basic Qualifications ----
- Proven track record of identifying issues, developing innovative solutions, and implementing effective strategies to address challenges related to service quality, risk management, and compliance
- Strong interpersonal skills with the ability to collaborate effectively with cross-functional teams and influence stakeholders to achieve common goals
- Demonstrated proficiency in using Google Sheets for data analysis, reporting, and collaboration
- Excellent verbal and written communication skills with the ability to articulate complex concepts and technical information to diverse audiences
- Commitment to delivering high-quality results, meeting deadlines, and continuously improving processes and procedures to achieve organizational objectives
- Work in a 24x7 support environment, pro-actively take initiatives/ suggest improvements, and work closely with the TLs in carrying out projects
- Ability to train new hires, and floorwalkers and set them up for success when they start production
- Ability to analyze complex data sets, identify patterns, and derive actionable insights to improve service quality and mitigate risks
---- Preferred Qualifications ----
- Must be in the current roles for 6 months at least
- Strong attention to detail, critical thinking skills, and the ability to exercise sound judgment in decision-making
- Proven track record of executing projects, driving process improvements, and achieving measurable results
- Excellent organizational skills with the ability to prioritize tasks, manage multiple projects simultaneously, and adapt to changing prioritie
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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