Manager, Advanced Analytics

Position Summary...

What you'll do...

Make your mark on the legacy of Walmart and come build the next great retail disruptor of global online marketplaces. With Walmart eCommerce, you will redefine the future of shopping and create innovative solutions alongside supportive teammates while influencing millions of shoppers daily. Walmart Marketplace is a curated community of respected, professional sellers who offer only top-quality, authentic products and best-in-class customer service.

Marketplace is an integral part of Walmart's growth strategy and fast-paced innovation is embedded into every aspect of what we are building.

The Marketplace team is looking for a Manager of Advanced Analytics, Seller Risk to drive data-driven decision-making and help shape risk strategy across our seller ecosystem. This role will partner closely with Product, Business, and Risk teams to define success metrics, identify risk exposure, and design scalable controls that balance seller growth with marketplace integrity. You will be responsible for building a holistic view of seller risk performance across the lifecycle, including onboarding, vetting, and post-onboarding monitoring.

You will leverage large-scale data and analytics to identify gaps, quantify risk and business impact, and influence policy and product decisions. This is a highly visible role, working closely with senior leaders (Directors/Sr. Directors) across business and product teams to drive meaningful impact on Marketplace performance.

You will make an impact by

* Contributing to a high-performance culture, delivering multiple projects and priorities in a fast-paced and growing segment of Walmart eCommerce

* Contributing to the development of strategy for reporting, testing, analyzing, and forecasting business and risk performance for Marketplace (3rd Party Sellers) segment

* Identify and provide both tactical ad hoc insights and a strategic ongoing roadmap of deep analytics to inform seller risk management performance and polices

* Delivering key data-driven business insights, working with cross-functional partners to translate risk insights into business / product strategy

* Working with the Product Management team to find gaps in current products, potential risk controls, gathering requirements, creating data moratoriums, and designing state-of-the-art data products for helping business users.

* Collaborate on roadmaps with the Product, Data Science, and other Analytics teams to understand growth and risk factors of new and future product releases.

* Defining how teams measure success by developing user/business metrics

* Working effectively with our Business, Product, Technology, and Data teams to understand our strategy and operating model and translate that into the right analytic approaches, data requirements and data models

* Designing and conducting A/B and multi-variate tests by developing test plans, defining success metrics, analyzing, and transforming data into actionable insights

* Operating with agility while effectively leveraging corporate structure to achieve goals

* Gaining support from the broader Walmart enterprise by engaging with cross-functional teams, leadership, and key stakeholders

* Automating data and analytic solutions at scale

You'll sweep us off our feet if…

* You have experience with commerce platforms, acquiring and seller risk management

* You are a storyteller using data

* You have experience solving new problems - digging in and finding answers

* You operate with customer centricity at the forefront

* You have experience working in multiple business areas / functions / segments

* You have a strong understanding of statistics with applied experience on analyzing large data sets

* You can collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

* You have sound knowledge of managing data for experiments (sampling, labelling, EDA, etc.)

* You have strong skills in Python, R, SQL, and Hive queries

* You have experience transforming/automating data within cloud architectures (ie. Google Cloud Platform)

* You have hands on experience with data visualization and reporting tools…