About the Role
Engineering Security (EngSec) at Uber is tasked with the cyber-defense of Ubers businesses and assets, and is on a major growth path to deliver the best capabilities for our businesses while advancing the cybersecurity field.We are looking for a Data Analyst, to join the Analytics Reporting team, to develop processes and techniques for driving operational and business insight from the entire span of cybersecurity programs, operations, and projects. This is a great opportunity to join a fast growing EngSec organization in a growth company focused on big bets, and to make tremendous impact in driving metrics and data rigor in one of Techs most exciting cybersecurity arenas.
What Youll Do
Analyze rich operational data exhaust to support operational success across teams, drive executive-level clarity, and deliver actionable operational and business insights
Build and maintain data dashboards, supported by robust data hygiene and automated data collection/parsing processes
Develop and promote a common internal body of knowledge (framework, lexicon, process) for evolving metrics development
Work cross-functionally within EngSec and with partner organizations, to identify high-value problems / challenges addressable by data-analytic methods Create data visualizations for different audience levels (e.g., executive, operational)
Basic Qualifications
BS/BA or higher in quantitative fields e.g. statistics, math, computer science, operations research, engineering or related disciplines
1-3 years of experience as a data analyst in a tech company Experience in handling large scale unstructured data using Hadoop. Expertise in SQL, as well as ability to do more advanced data programming using Hive, Pig, Spark, etc Preferred Qualifications
Experience with creating and maintaining dashboards on Tableau Knowledge in programming using basic modeling techniques, decision trees, Monte Carlo, logistic regression, SAS, Perl, R, Python Creative problem-solving and critical thinking skills with a get things done bias toward action Ability to operate collaboratively and efficiently in fluid, ambiguous environment
Ability to drive order from chaos and to tenaciously drive projects to completion Deeply passionate about user experience and able to make product / analysis recommendations that delight internal users Excellent written and verbal communication skills with the ability to influence senior stakeholders and peers
About the Role
Engineering Security (EngSec) at Uber is tasked with the cyber-defense of Ubers businesses and assets, and is on a major growth path to deliver the best capabilities for our businesses while advancing the cybersecurity field.We are looking for a Data Analyst, to join the Analytics Reporting team, to develop processes and techniques for driving operational and business insight from the entire span of cybersecurity programs, operations, and projects. This is a great opportunity to join a fast growing EngSec organization in a growth company focused on big bets, and to make tremendous impact in driving metrics and data rigor in one of Techs most exciting cybersecurity arenas.
What Youll Do
Analyze rich operational data exhaust to support operational success across teams, drive executive-level clarity, and deliver actionable operational and business insights Build and maintain data dashboards, supported by robust data hygiene and automated data collection/parsing processes Develop and promote a common internal body of knowledge (framework, lexicon, process) for evolving metrics development
Work cross-functionally within EngSec and with partner organizations, to identify high-value problems / challenges addressable by data-analytic methods Create data visualizations for different audience levels (e.g., executive, operational)
Basic Qualifications
BS/BA or higher in quantitative fields e.g. statistics, math, computer science, operations research, engineering or related disciplines 1-3 years of experience as a data analyst in a tech company Experience in handling large scale unstructured data using Hadoop. Expertise in SQL, as well as ability to do more advanced data programming using Hive, Pig, Spark, etc
Preferred Qualifications
Experience with creating and maintaining dashboards on Tableau Knowledge in programming using basic modeling techniques, decision trees, Monte Carlo, logistic regression, SAS, Perl, R, Python
Creative problem-solving and critical thinking skills with a get things done bias toward action Ability to operate collaboratively and efficiently in fluid, ambiguous environment Ability to drive order from chaos and to tenaciously drive projects to completion Deeply passionate about user experience and able to make product / analysis recommendations that delight internal users
Excellent written and verbal communication skills with the ability to influence senior stakeholders and peers
Keyskills: Computer science Logistic regression analytics reporting Operations research SAS Data collection Perl Operations SQL Python
Ubertal was created in 2011 in Silicon Valley with the initial objective of helping high growth software companies solve their toughest business challenges. Through this process weve identified common challenges faced by companies and have developed our own software solutions (IP) and co- created s...