Data Analyst

hace 1 mes


Ciudad de México Uber A tiempo completo

**About the Role**
***

One of our values at Uber is to Stand for Safety. We embed Safety into everything we do and relentlessly seek to be industry leaders in Safety. You will play an active role in making Uber safer for everyone who uses our platform. We are searching for a highly motivated individual to support the LatAm Safety Ops team to use data to answer relevant business questions, solve problems, and improve processes.

**What you'll do**:
***

As a Data Analytics Specialist, you will:

- Understand the analytics needs of internal stakeholders and provide them with solutions that meet those needs.
- Navigate Uber's databases to find the data you need to tackle the problem at hand.
- Support team members with rigorous analysis of how a feature is performing.
- Monitor existing features' efficiency metrics and report in case something is off.
- Communicate your findings verbally, visually, and in writing.

**Basic Qualifications**:

- Analytics
- Skilled to work with numbers, spreadsheets, models, and data visualizations.
- Solid understanding of statistical fundamentals: descriptive statistics, probability distributions, tests of hypotheses, confidence intervals, regressions, and experiments.
- Working knowledge of SQL is a must.
- Written and verbal communication
- Advanced level of spoken and written English (B2 or above).
- Ability to communicate effectively with team members coming from both technical and non-technical backgrounds.
- Organization and learning
- Attention to detail: the team must confidently rely on your work.
- Ability to work autonomously, and to learn new tools on your own.
- Creative problem solving: you don't give up on the first attempt. Rather, you explore multiple possibilities to solve a problem.
- Bachelor in Economics, or Engineering, Computer Science, Physics, Mathematics or Business.
- 2+ years of experience in a data-oriented role in operations, consulting, analytics, or a related field.

**Preferred Qualifications**
***
- Experience working with Python (Libraries: pandas, numpy, etc & API's), R and Automation Tasks using Python and Github.


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