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Checkout Analyst


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Job Details

JobId: 860863
JobTitle: Checkout Analyst
State: CA

Division Summary

@WalmartLabs is the technical powerhouse behind Walmart Global eCommerce. We employ big data at scale -- from machine learning, data mining and optimization algorithms, to modeling and analyzing massive flows of data from online, social, mobile and offline commerce. We don’t just engineer cool websites, mobile apps, and new services; we use our own open source tools to create the framework. Deployment is automated and accelerated through our open cloud platform. This makes us incredibly nimble and able to adjust in real-time to our global customers.

Department Summary

The Customer Experience team lives on the front line of e-commerce innovation.  This collaborative team, made up of engineering, UX, product management, along with web and technology evangelists, is rapidly iterating new products and site features at scale.  We deliver high performing solutions - from our next gen front-end platform (node.js and react.js) to our best-in-class backend payments platform which powers web, mobile and API solutions.  Continuous innovation and immediate feedback by billions of customers make this work incredibly exciting!

Position Summary

Please join the Product Management team as an Experimentation Analyst!

Position Description's new leadership are driving for data driven decision making across the entire organization. To support this transformation we have built a world-class Product Analytics group within the Product Management team. All the pieces are in place to drive an explosion in the volume of experiments we run to inform business decisions. Running experiments is a team sport - as we ramp up the number of experiments we need someone who thrives in a fast-paced, highly fluid environment and can calmly manage conflicting priorities.

We are hiring for \"an Analyst's analyst!\" to provide analytic support, coaching and leadership to the product analytics team as they execute experiments with their product partners. We are looking for someone who is as comfortable working on experimentation edge cases as well as the day to day. You love sitting down and helping solve problems and push the boundaries to drive quality and excellence in experimentation. You want to be recognized as a thought leader in this space and a mentor to many. You use you business judgement to decide when to take ownership (to expedite decision making) and when to coach (to build team strength in the longer term). Ultimately you help our product teams execute experiments with the minimum of fuss and maximum impact.

You are passionate about helping Walmart build, test and launch amazing product experiences by being a critical part of the best experimentation team on the planet!


Minimum Qualifications

Masters degree in Science, Technology, Engineering, or Math.

Successful candidates typically demonstrate strengths in many of the following areas:

  • Strong SQL skills and experience using HIVE

  • R, Python, Scala programmer - happy with a command line interface

  • Experienced working with massive, messy data sets

  • Confident applying appropriate analysis methods of causal inference in both experimental and non-experimental situations

  • Intellectual curiosity and attention to detail

  • Organized when analyzing data and conducting research

  • Strong verbal and written communication skills

  • Ability to mentor high performance analytics teams

  • Comfortable using the available data to help make decisions

  • Customer focused and passionate about using data to drive business growth

  • Clear and unambiguous when making commitments and always follows up on promises

  • Understands product development in leading technology companies

Additional Preferred Qualifications

Experience in e-commerce industry.
Experience working as an analyst / data science consultant

Company Summary

Walmart Global eCommerce is comprised of, VUDU,, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.

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