Direkt zum Hauptinhalt
Uber

Verrate uns deinen Standort

Bitte gib den Namen einer Stadt in deiner Nähe an, damit wir die korrekten Daten für dein Gebiet anzeigen können.

Wähle deine Sprache aus.

Advanced Analytics Lead, Trust & Safety

Central Operations, Operations & Launch in Sao Paulo, Brazil

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.

 

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.

About the Role

 

Lead the LatAm Central Operations Safety Data Excellence team, focused on everything related to using data to onboard and keep the right drivers and riders on the platform, while developing tools and models that prevent the most serious incidents from happening on the platform. 

 

Safety is a top priority for the business, our brand and Uber is committed to position itself as an industry leader in this space. Safety is a critical issue that resonates everywhere Uber operates but even more so in LatAm. 

 

We are reorganizing our safety team to drive focus on this priority. If you love getting your hands dirty in data analytics and science, while also managing a rockstar team of analysts across two regions, we have the opportunity you’ve been looking for.

What You’ll Do

 

Manage the data excellence team in LatAm to ensure: 

  • Management, report and response to safety-related incidents and trends, investigating suspicious activity and behavior, and identifying risks to Uber, partner-drivers and riders
  • The functional teams focusing on the priority areas for Uber LATAM have ad hoc analytical research projects support to develop and execute operational improvements to keep the platform safer 
  • The Head, as well as leadership and safety teams in the region have a standardized process and clear way to interpret the data and trends affecting their region/area

 

What You’ll Need

  • Experience working with data analytics
  • Advanced SQL and Python skills
  • Advanced english required
  • Experience in people management required

Superempresas_Completo_2019 RankingPar GPTW_small_(2) EQUIDADMX_2019


Unsere Datenschutzerklärung für Bewerber

Wir bei Uber akzeptieren nicht nur Vielfalt – wir begrüßen sie, unterstützen sie und wir bauen auf sie, damit unsere Mitarbeiter, unsere Produkte und Community davon profitieren. Uber ist stolz darauf, ein Arbeitgeber für alle zu sein. Wir bieten jedem eine Beschäftigungsmöglichkeit, unabhängig von Hautfarbe, Herkunft, Religion, Geschlecht, Abstammung, sexueller Orientierung, Alter, Staatsangehörigkeit oder Familienstand.