About the role
The Analytics & Insights team strives to enable data-driven decision making at every level within Community Operations (Uber's support org). As a manager on the team, you will lead our efforts by leading a team of high-performing analysts. These analysts are charged with providing the clear and meaningful insights that both reduce customers' needs to interact with customer support and improve the customer experience when defects occur.
You will work with cross-functional stakeholders to turn high-level business objectives into analytic work, from accessing complicated data via SQL to running multivariate analysis and building predictive models. You will lead a team to deliver impactful work while growing analysts' careers. Your analytical approach will challenge all of Uber to better understand and serve our customers.
What you'll do
- Work with stakeholders to translate business goals to analytic work products and then prioritizing that work
- Lead and mentor your team to improve impact and help analysts expand their skills and grow their careers
- Serve as an analytics specialist to identify CommOps' opportunities to improve support and help select the right analytic frameworks to develop and test those hypotheses
- Collaborate with other analysts outside of North America, product teams, and ops teams to cross-functionally support company-wide goals
Basic qualifications:
- Minimum 5 years experience in data science/analytics, data engineering, product management with strong data background
- Track record of leading or training / mentoring other analytics professionals
- Bachelor's degree or equivalent practical experience
Preferred qualifications:
- MBA or MS degree
- Excellent verbal and written communication
- Experience translating stakeholders' business goals to technical projects, including working with large datasets (SQL), building data visualizations, and mining product and operational insights
- Strong Python / R skills, passionate about data processing and statistical analysis
- Experience with a variety of analytic methods such as forecasting, A/B testing, NLP, etc.
- Familiarity with customer support operations