Data Scientist

Company Description

At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. 
 
What are you waiting for?

Job Description

About the Team:

The eCommerce Analytics team partners with the eCommerce Product and Strategy teams to build product and experiences that enhance the experience for millions of customers. You’ll leverage data support and drive the work of teams who develop experiences that have changed the industry including the cart and checkout experience, account creation and sign-in flows, and other purchase-oriented digital experience. Innovating on the world’s biggest stage, you’ll get to deliver customer-centric solutions before they walk in the door, after they purchase, and every step in between. This is that place. This is Walmart.

As the biggest player in the game, we trust our associates to innovate the future of shopping. If you are motivated by complex, purposeful challenges, an Analytics Manager, eCommerce Analytics role at Walmart could be the fit you’ve been looking for.

The role involves partnering very closely with multiple Product, Engineers, Design, and Business Partners to elevate the site experience across verticals on Walmart. 

What You'll Do:

• Partner with the Product Analytics Management, Product Managers, Business Strategy, Design, and Engineering teams to accurately track and analyze existing and new product initiatives
• Leverage clickstream data to identify opportunities for improving customer experience and influence product roadmaps. Perform conversion analysis, funnel analysis, impact sizing to influence decision-making
• Define and monitor KPIs to measure product performance and monitoring product health
• Define the customer engagement data capture strategy and collaborate with engineering to ensure the accuracy of the data captured
• Create effective reporting and dashboards by applying expertise in data visualization tools such as Tableau, Splunk to monitor product performance
• Leverage extensive hands-on experience with SQL to query and process large amount of clickstream and transactions data from different databases such as BigQuery or Hive to identify opportunities
• Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
• Design and execute A/B tests to identify and quantify the impact of new product feature as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, App)
• Provide data driven insights and deliver recommendations that address opportunities for product improvements
• Leverage advanced analytics solutions to identify product and business opportunities at scale using regression, clustering, classification, gradient boosting, etc. techniques

Qualifications

Minimum Qualifications:

• Bachelor's degree in Business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
• 3-5 years experience in analytics
• 3+ years  experience with SQL
• 2+ years experience with a data visualization tool (e.g. Tableau, Looker, PowerBI)
• Strong communications skills

Preferred Qualifications:

• 3+ years of experience working in mid-to-large scale analytics teams
• Master’s degree in Business, Computer Science, Statistics, Economics, Analytics, Mathematics, Information Technology or related field
• Interest in growing into an analytics management role in the future
• Related industry experience (for example: retail, merchandising, eCommerce, etc)
• Experience using Python or R for analytics and data management
• Experience creating and automating data pipelines