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
Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner teams across Uber
---- Basic Qualifications ----
BA/BS/MS in Physics, Economics, Applied Math, Statistics, Operations Research, 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 Uber Operations business context and data, including a proven track record of collaborating with Mobility/Delivery/Core Operations 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
Experience with Big Data platforms like Spark, Hadoop, and their ecosystems (Hive, Pig)
Experience working with large data sets and Hive database
Experience of successfully managing small to medium-scale projects
Job Classification
Industry: Internet Functional Area / Department: Engineering - Software & QA Role Category: Software Development Role: Practice Manager / Head Employement Type: Full time