---- What the Candidate Will Do ----
Scope & Impact:
You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions wherein the expectation is to ->
- Build scalable analytical frameworks to support product analytics for Uber's Customer Obsession Platform
- Be an invaluable partner to product managers, engineers, operations, & various data teams to help create and execute the direction of the product roadmap which includes scoping the business problem, providing a data lens to product design, owning the experimentation cycle to full global rollouts and eventually impact estimation & long term monitoring.
- Proactively communicate insights and drive projects to drive towards team goals
- Ensure data quality across critical pipelines and to set up processes to triage data issues
- Build & maintain critical data pipelines, insight boards & monitoring tools that help track metrics to measure and monitor platform health
- Seek out opportunities to build new solutions to tackle Customer & Business pain points
---- Basic Qualifications ----
- 2+ years of work experience with a Bachelor's Degree OR 1+ years of work experience with a Master's Degree. Work experience should be in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science
- Education in Engineering, Computer Science, Math, Economics, Statistics, Operation Research or equivalent experience
- Proven competency in statistical languages like SQL, SAS, R and/or in modern programming languages like Python
- Past experience with a Product / Tech / Analytics Services company serving businesses with millions of customers on multiple platforms and countries
---- Preferred Qualifications ----
- SQL mastery. Write efficient and complex code in SQL
- Experience in Python/R, Experimentation methods like A/B testing, and Statistical modelling is preferred
- Experience in Customer Service related domains with a Product / Technology / Analytics Services company is a plus
- Proven ability to handle and visualise large datasets, explore and utilise raw data feeds
- Love of data - One should have the zeal to just go get the required data and turn it into an insightful story
- Ability to build a structured approach to problem-solving that leads to high quality hypotheses
- Strong sense of ownership, accountability, and entrepreneurial spirit
- Effective communicator & proactive collaborator
- Independent & autonomous, while still a strong team player
- Enthusiastic, self-starting and thrives in changing, agile environments