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
We are looking for a senior data analyst to join our Safety and Insurance Analytics team to lead data quality monitoring and development. In this role, you’ll be working closely with a cross-functional team consisting of engineering, product management, and other data teams to build out an analytical framework to monitor data quality of our most critical tables serving product analytics and safety incident data. The ideal candidate will have strong experience building out scalable data quality monitoring systems supporting mission critical tables for the business. They will have a solid foundation in data analytical tools such as SQL, Python, data visualization tools along with an excellent statistics background (machine learning a plus). The candidate should also have excellent communication and stakeholder management skills that can partner with various cross-functional teams to understand requirements, develop, test, and deploy quickly.
What You’ll Do
Support Uber’s rapidly growing and unique safety and insurance operations
Build scalable analytical framework to monitor data quality supporting product analytics and safety incident data
Work with cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
Create metrics and reporting functions to measure and monitor data quality for our most critical data assets
Effectively communicate data quality insights and drive projects to improve data quality
Proactively seek out data quality opportunities to evangelize a data quality mindset across Uber
What You’ll Need
BA/BS in Mathematics, Statistics, Computer Science, Economics, Business or analytical field
2+ years experience with managing data quality for high scale data processes
3+ years of SQL experience
2+ years of Python experience (experience in R a plus)
Background in data visualization and reporting leveraging open source libraries/packages and third party tools (Tableau or similar)
Strong statistical background
Experience in machine learning especially in data quality applications a plus
Very strong verbal and written communication, and presentation skills
Highly detailed oriented
Excellent judgment, critical-thinking, and decision-making skills; can balance attention to detail with swift execution
Able to identify stakeholders, build relationships, and influence others to get work done
Enthusiasm about Uber!
About the Team
The Safety and Intelligence team is focused on making the Uber platform safer for all participants including drivers, riders, eaters, and couriers as part of the company's #StandForSafety initiative. We do this through leveraging data (at Uber scale), data science, analytics, and products to achieve our safety goals.
At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.