Job Description

As a member of the GSS DAS PgM team, you will have the opportunity to drive the analysis behind various operations and product-related decisions @ Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in Program Managing multiple data-driven projects.---- What You Will Do ---- * Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally

• Performing analytical deep dives to drive product/strategy road-map
• Apply expertise in statistical analysis, data mining and visualization to own and deliver end to end analytical solution development
• Translate analytical solution into actionable insights and recommendations for the technical and non-technical audience in a clear, concise and persuasive way
• Maintain and continue to raise the bar for quality/efficiency of analytical solution delivery across the team
• Focus on long term improvements by building, maintaining, and documenting best practices within the team and seek continuous improvement opportunities
• Lead vendor data analysts in project execution
• Multi-hat to drive and deliver analytical and data engineering projects to partner teams across Uber

---- What You Will Need ---- * BA/BS/MS in Physics, Economics, Applied Math, Statistics, Engineering, OR, Computer Science, or any other quantitative field

• Proficient in writing and understanding complex SQL queries
• Strong multi-tasking & project management skills, and a keen sense of prioritization
• Ability to thrive and deliver in an ambiguous environment
• Self-motivated and driven to deliver agreed results on-time
• Good story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience
• Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders
• A minimum 2+ years' experience in an analytics delivery role
• Understanding of Operations/Product Analytics or relevant business experience and data crunching abilities, including a proven track record of collaborating with multiple cross functional teams to translate business requirements into analytics solutions.

---- Preferred Qualifications ---- * Programming background and expertise in solving a business problem using at least one of the following languages: Python, R

• Hand-on experience working on full lifecycle of creating and implementing predictive models using statistical and machine learning techniques, including data cleaning, feature engineering, model selection, training, evaluation, and deployment.
• Experience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig)
• Experience working with large data sets and Hive database with some background in Data Engineering.
• Experience of successfully managing small to medium-scale projects
• Experience working on hypothesis testing, game theory and statistics.

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.Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .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, Veteran Status, or any other characteristic protected by law.

Uber