Data Analyst - Philippines

Uber Overview

About Uber

Uber is evolving the way the world moves. By seamlessly connecting riders to drivers through our app, we make cities more accessible, opening up more possibilities for riders and more business for drivers. From our founding in 2009 to our launches in over 450+ cities today, Uber’s rapidly expanding global presence continues to bring people and their cities closer. If you want to have a huge impact on your city and the world, this is the place to be!

About the role

Our Operations teams are the heart and soul of Uber. These are the teams that take our global product and localize it to an assigned market, while creating thousands of economic opportunities for drivers, and making transportation cheaper and more accessible for our riders. We are in the midst of incredible growth, which requires hard work. We are looking for individuals who are passionate about what they do and ready to roll up their sleeves to grow their city.

Are you pumped about impacting the strategic direction and day to day decisions of Uber in the Philippines? Then this role is for you!. You will drive the strategic decision making process through your heavily data-driven/analytical approach and operational mindset. The ideal candidate for this role should have exemplary analytical skills, excellent time-management and organizational habits, and the ability to clearly communicate and present information.

What you’ll do:

  • Drive analysis on important strategic decisions in order to optimize the PH business
  • Provides recommendations and actions for teammates that will further drive business to success
  • Coordinate with other members of the Uber team to measure the impact and efficiency of new products and business processes
  • Develop analytical frameworks to support the company in new markets and products
  • Identify operational weaknesses and help improve or innovate new processes to keep our local teams as efficient as possible
  • Build, maintain, and communicate detailed reporting models to assist city-level, regional, and expansion efforts

Here are the kinds of skills we’re looking for:

  • 1 to 2+ years of data science / business intelligence / investment banking / consulting or related experience; high-growth analytics or operations experience a plus
  • Exceptional Excel / data management skills – many say they are great at Excel, fewer truly are. Ideal candidate brings some impressive know-how (and the understanding that there’s always more to learn)
  • SQL, coding experience a plus though not required
  • Must have a passion for hacking things together in order to solve the hardest problems
  • Strong communication and organization skills
  • Team player
  • Balance attention to detail with swift execution – we need to do things quickly, and we need to do them well. Balancing those can be challenging, and this should be a strength
  • 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!
  • Geek: must love numbers
  • Hacker: gets things done by using existing tools or introducing new ones
  • Strategic thinker: goes beyond today and thinks about tomorrow, using data to drive his/her decision-making

Perks:

  • Employees are given Uber credits each month.
  • Ground floor opportunity with the team; shape the strategic direction of the company.
  • The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally.
  • Sharp, motivated co-workers

Meet Some of Uber's Employees

Brian M.

Community Management Specialist

Brian makes sure that every Uber user has an amazing experience. He troubleshoots roadblocks to customer happiness and also does outreach to attract new Uber users.

Swathy P.

Operations & Logistics Manager

Swathy is part of the team that is the driving force behind Uber’s transportation options. She helps sign up the drivers, makes sure the vehicles run smoothly, and tackles any logistical bumps along the road.


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