About the Role
As a member of the GSS DaaS team, you will have the opportunity to drive the analysis behind various Product and Ops related decisions @ 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
- Performing analytical deep dives to drive product/strategy road-map
- Design of efficiency analytical data marts that mimic product flow @ scale
---- What You 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.
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
- Ability to code Python or R and complex SQL queries;experience working with large data sets and Hive database
- 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 / Masters in Maths, statistics, science or any other quantitative discipline
- Expertise in Statistical Data Analysis and Hypothesis Testing
- Experience in text mining and modeling
- Experience working with Product and Engineering
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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 accommodations@uber.com.