
A ride whenever you need one.
Data Curation Associate
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Data Curation Operations is a team which supports all ongoing curation projects for Mapping and other teams at Lyft. Our mission is to improve customer experience in Lyft products by providing high-quality, comprehensive, and efficient data curation operations.
In this role, you will closely with various team to curate and maintain places data sets that are essential for our operations and decision-making processes. We are looking for someone who has good analytical skills and is able to process a large amount of data. If you have an entrepreneurial spirit, like to solve challenging problems, and want to be part of the next big thing at Lyft, we would love to meet you!
Responsibilities:
- Analyze customer feedback on places data issues, performing corrections and categorization.
- Review and correct large volumes of data, meticulously documenting issues for analysis.
- Escalate issues effectively to relevant internal teams.
- Performing deep dives and root cause analysis. Augmenting/preparing collected data for the engineering team.
- Work with mapping tools with high accuracy in accordance with guidelines.
- Working with the Google Suite of products/services such as G-mail, Docs, Sheets, Meet, Calendar, etc.
- Keeping a high level of accuracy, attention to details and integrity.
Experience:
- Bachelor’s degree or equivalent.
- Ability and readiness to deal with monotonous work without losing concentration.
- General understanding of the traffic regulations, mapping fundamentals.
- Customer obsessed:
You are passionate about delivering great customer experiences with a strong track record to back that up. You have analytical and problem-solving skills to help implement changes that improve the customer experience.
- Collaborative communicator:
You excel in verbal and written communication (English, Ukrainian). You collaborate effectively with your team and can communicate with other teams or stakeholders as needed. You are receptive to feedback and direction, enabling you to successfully carry out tasks and contribute to team goals.
- Strong computer skills:
You feel comfortable learning new processes, systems & tools, including labeling tools (data labeling, image labeling) and Google Workspace products.
Nice to have:
- Experience processing and triaging feedback.
- Experience with data entry or data labeling.
- Experience mentoring/sharing knowledge with the team.
- Background in mapping, cartography and any related fields.
- Familiarity with Jira.
Benefits:
- Professional and stable working environment.
- The latest technology and equipment you need.
- 28 calendar days for vacation and up to 5 paid days off.
- 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
- Mental health benefits.
- Family building benefits.
- This role is fully remote in Ukraine, candidates for this role must be based in Ukraine.
This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote
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关于Lyft

Lyft
PublicLyft, Inc. is an American company offering ride-hailing services, motorized scooters, and bicycle-sharing systems in the United States and Canada, and, via its Free Now mobile app, Europe. Lyft is the second-largest ridesharing company in the United States after Uber.
1,001-5,000
员工数
San Francisco
总部位置
$3.2B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
4.0
薪酬
3.0
企业文化
4.2
职业发展
3.5
管理层
2.5
65%
推荐率
优点
Flexible hours/schedule
Supportive team/colleagues
Good work-life balance
缺点
Pay/salary issues
Inconsistent/unpredictable hours
Management/communication problems
薪资范围
54个数据点
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
1份报告
$146,004
年薪总额
基本工资
$126,960
股票
-
奖金
-
$146,004
$146,004
面试评价
2条评价
难度
3.0
/ 5
时长
14-28周
录用率
50%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Assessment
4
Technical Interview
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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