We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.

The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Duties:
Develop data strategies, methods, tools, and insights to enable support teams to implement, evaluate, monitor, and improve customer support technology. Use a combination of data analysis and communications methodologies to interpret and present insights to drive strategic decisions. Transform complex data into clear narratives to answer key business questions and resonate with diverse audiences. Demonstrate leadership communication by framing data-driven recommendations to shape strategy and align cross-functional teams around shared goals. Build robust analytical frameworks and scalable data pipelines to empower analysts to perform deep dive investigations, uncover insights and enable analysis across teams. Drive global-first thinking by designing sustainable, standardized solutions to eliminate one-off or ad hoc processes and enable consistency across markets. Design product improvements and new features by leveraging user data to unlock trends and patterns to guide innovation and business growth. Demonstrate agility by managing urgent, high-priority tasks while ensuring solutions remain thoughtful, accurate, and aligned with business objectives. Build and maintain efficient data pipelines, ETL processes, and data products that ensure accuracy, scalability, and low maintenance across global teams. Empower analysts and partners through scalable frameworks, training, and tools that enhance analytical efficiency and consistency. Lead deep-dive analyses to uncover root causes of performance trends and identify actionable insights that guide strategy and operational improvements. May telecommute.

Position requires three years in:

Performing scalable analysis using R or Python;

Database query languages including SQL;

A/B testing, or simulation techniques;

Debugging and monitoring for production services;

Data analysis or Machine Learning Systems;

Quantitative modeling, including machine learning models, time-series forecasting or causal impact analyses;

Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;

Framing and communicating data-driven recommendations to align cross-functional teams and shape strategy;

Building and scaling analytical frameworks, tools, and training to empower global analysts and partners.