Uber - Program Manager I

4 days ago


Hyderabad, India Uber Full time

About The Role : As a member of the GSS DAS team, you will have the opportunity to drive the analysis behind various Mobility Product and Ops related decisions at Uber. You will perform a range of activities demonstrating your analytical thought leadership and will be involved in leading multiple data-driven projects including , but not limited to : - Design of KPI tracking systems for complex company-wide metrics across various Uber products and teams globally/regionally. - Performing analytical deep dives to drive product/strategy road-map. - Design of efficiency analytical data marts that mimic product flow at scale. What the Candidate Will Do : - You will work on a range of analytics projects to help partner teams in boosting efficiency and fostering growth throughout the business.- Your role will entail delivering valuable qualitative insights and collaborating with engineering, data science, and product teams to develop analytics solutions. About : The ideal candidate is experienced working with large data sets and data visualization, as well as being passionate about data and analytics. Following would be what you will do day-to-day : - Utilize expertise in data analysis, and visualization to develop end-to-end analytical solutions. - Translate analytical solution into actionable insights and recommendations for 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. - 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. - Get pumped up by deciphering huge data sets and cutting through irrelevant distractions to the heart of the core data questions from partner teams. - Attention to detail, accuracy is a must - Humble and scrappy not afraid to take on lower level projects when it will clear roadblocks for the team. Basic Qualifications : - Minimum 4 years experience working in business intelligence, analytics, data engineering, or a similar role. - Experience using SQL in a production environment. - Experience using Python or R to work with large data sets at scale. - Experience with dashboarding and using data visualization tools. - Fluency in communicating data insights (Methods, Results & Actions) with the peer group. - Should be a team player and being able to multitask. - Ability to work with remote teams and across time zones. - Being able to raise the bar for quality/efficiency within the team. Preferred Qualifications : - BS / MS degree equivalent experience in Statistics, Economics, Engineering, or other quantitative fields. - Experience in experimental design and analysis, exploratory data analysis, data modelling and statistical analysis. - Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. - Experience working with Product and Engineering teams. (ref:hirist.tech)



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