What the Candidate Will Need / Bonus Points
---- 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.
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
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---- 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
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 accommodations@uber.com.