*about the role*
at uber, providing amazing support that establishes trust for riders and driver partners-our community-is a core feature of our product experience.
we invest in it and believe in providing the highest quality service executed in the smartest, most efficient way.
community operations is pioneering how uber manages customer experience and support around the globe and we're looking for an *data analytics specialist iv* to develop and lead various support efforts for our* delivery cx* operations.
*what you will do?
*
- ability and experience working with the scientific method using data points as facts to come up with recommendations and insights to drive business decisions;
- continually improve and automate our methods for gathering data and incorporating it into real-time models, analysis, and actions;
- review data models and queries while performing weekly and ad hoc data analysis to keep the nerve center of our operations engine running at full speed;
- effectively communicate insights from and be able to tell a story around data;
- able to effectively identify opportunities to improve thousands of customer support specialist's experience and measure the final impact of our customers.
*what you will need?
*
- 2+ years of business analytics/ consulting/ business intelligence or related experience; some high-growth operations or startup experience is strongly preferred;
- exceptional communication and organization skills;
- explorer - the ability to self-serve, investigate and get the data we require will make you much more effective in this role.
self-starter attitude is a must!
- exceptional excel / data management skills;
- sql proficiency & scripting experience (py) required;
- experience with agile/scrum working methodologies as a plus;
- written and spoken fluency in english.
*preferred qualifications*
- ability and experience working with the scientific method using data points as facts to come up with recommendations and insights to drive business decisions;
- continually improve and automate our methods for gathering data and incorporating it into real-time models, analysis, and actions;
- review data models and queries while performing weekly and ad hoc data analysis to keep the nerve center of our operations engine running at full speed;
- effectively communicate insights from and be able to tell a story around data;
- able to effectively identify opportunities to improve thousands of customer support specialist's experience and measure the final impact of our customers.