Hotline: 678-408-1354

Learning Analyst

About Uber

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role

The Global Community Operations Learning Team focuses on building, implementing and ensuring quality of all learning programs for our customer support community. The Learning Analyst is an analytical and technical problem solver, who is able to dive into unstructured environments to use data to uncover insights that drive global learning initiatives and learning outcomes. You will build scalable processes and tools that enable internal and external stakeholders to leverage data and act upon insights. You will have the opportunity to work on a wide range of high-priority projects, and have exposure to multiple stakeholders in other regions.

In addition to analytical skills, you should have excellent time-management and organizational habits, a creative and problem-solving mindset, and the ability to clearly communicate and present information.

What You’ll Do

  • Build and own tools to facilitate learning processes and provide meaningful reports and data (e.g. Learning Needs Analysis, Competency Mapping)
  • Develop and own the approach to measure and evaluate the effectiveness of learning projects and solutions
  • Establish a global set of metrics to create a more data driven learning and development program
  • Drive analysis of global learning projects and solutions to improve the learning experience and performance of our support agents, and ultimately the experience of Uber’s customers’
  • Identify operational L&D weaknesses (e.g., time, cost) and help improve or innovate new processes to keep local training teams as efficient as possible
  • Problem solve. We’re faced with new and interesting problems that need solved every single day. Identify and implement short-term solutions in a timely manner, while helping define the long-term solution.
  • Build and own periodic reporting – Take advantage of the ever-growing amount of data we have at our fingertips to help stakeholders all over the world manage and improve the quality and effectiveness of learning programs and processes.
  • Report on training activity (enrolments, completions, hours invested etc).
  • Forecast demand for training/ learning and develop associated schedules and plans
  • Coordinate with members of other regional teams spanning the company to build, scale and standardize reporting
  • Support in building, scaling and standardizing reporting of training compliance, effectiveness and impact on business quality
  • Track cost, performance and compliance related to learning and training activities


What You’ll Need

  • BA/BS/Masters in Economics, Business, Engineering, Operations Research, or other quantitative focus
  • Minimum 3 years of experience in a quantitative/analytic role, preferably within tech
  • Strong communication and organization skills. Able to structure a project from idea to design / prototype to implementation
  • Excellent analytical thinking – you connect the dots between the data and operations and gut check every number you see
  • SQL expertise – know how to access, interpret and package data so our team can deliver unique and innovative analysis to better our operations
  • Excellent Excel 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)
  • Experience in scripting languages, such as Python or R
  • Team player
  • Experience presenting data visually for a non-technical audience
  • 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


Bonus Points

  • Experience working in a Learning environment highly preferred (HR, Sales, L&D, Learning Effectiveness and analysis, Learning planning, etc)
  • Experience in data visualization tools, such as Shiny or Tableau
  • Experience working with support data, contact management analytics or customer insights
  • Background in, or comfort with, statistical concepts
Share this job

Uber

(0)

Contact Us

Eltas EnterPrises Inc.
3978 Windgrove Crossing
Suite 200A
Suwanee, Georgia
30024, USA
contact@eltasjobs.com

Subscribe to our Newsletter