Make your mark on Walmart and come build the next retail disruptor in global online eCommerce. Walmart is redefining the future of shopping through innovation and technology and influencing how over 150M US Households shop each year. Walmart Marketplace is a platform that allows trusted 3rd Party Sellers and Brands to leverage the scale of Walmart to sell top-quality products through best-in-class service to Walmart Customers.
Marketplace (https://marketplace.walmart.com/) is one of the fastest growing segments within the US eCommerce business and is a strategic investment priority for Walmart. The Marketplace Analytics team is scaling rapidly to help grow the business through data driven insights. The team provides consultation end-to-end across all eCommerce functions including Marketing, Site/App, Assortment, Seller Performance, Operations, Inventory/Logistics, Product, and Engineering. This is a unique opportunity to be part of a high-growth Fortune 1 Analytics team that has a holistic view over every aspect of eCommerce.
ROLE:
As the Manager, Marketplace Analytics – Product Analytics, you will lead world-class analytics to evaluate the effectiveness and efficiency of the Marketplace platform. Your focus will be to support the Product team as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers.
You will be responsible for building out a holistic view of performance as well as a detailed analytics roadmap across the entire Product Lifecycle by leveraging state of the art analytics tools (i.e. SQL/Hive/Hadoop/Cloud, Mixpanel, Quantum Metrics, Tableau/ThoughtSpot/Looker, etc.). Key projects include supporting Product Discovery, providing business impact Sizing, assessing the performance of Product Features, and understanding Seller Behavior through Clickstream Analytics. This role is highly visible since you must work cross functionally with Product, Engineering, Business, and Operations. Given the size and scale of Walmart and the advanced capabilities being built by Product for Marketplace this position will have a significant impact.
RESPONSIBILITIES
- Serve as thought leader and trusted advisor to Product leadership and the larger product management team by collaborating with them through the entire product lifecycle from discovery, A/B testing, to post launch insights and learnings.
- Demonstrate proactive, solution-oriented leadership — you are always looking ahead to what’s coming next, you solve problems within and outside of your core area, and you are comfortable actively influencing leaders to ensure your team drives key decisions and priorities.
- Proactively identify product opportunities within and beyond product ownerships areas through a hypothesis driven culture and data driven deep dives
- Responsible for organizing and assembling the resources, technology, and processes to support the Product Analytics needs of the Marketplace Product teams
- Have an intimate understanding of various data sources and how to organize and utilize them to deliver critical insights to the broader organization.
- Partner with Product Managers 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.
- Create effective reporting and dashboards by applying expertise in data visualization tools such as Mixpanel, Quantum Metric, Looker/Tableau, and Splunk to monitor product performance.
- Define and monitor KPIs to measure product performance and monitoring product health.
- Define the product engagement data capture strategy and collaborate with Engineering to ensure the accuracy of the data.
- Use statistical power analysis and hypothesis testing to shape and drive the analytics strategy for the Product Management team
- Design A/B tests to test and quantify the impact of new product features and drive A/B testing as an ongoing discipline to constantly improve product features and provide better experiences for customers across all platforms (e.g., Desktop, Mobile, etc.)
MINIMUM QUALIFICATIONS:
- BA/BS in Business, Engineering, Mathematics, Statistics or related field (or equivalent experience)
- 6-8+ years of experience in data analysis or an analytical capacity
- 3+ years of experience in Product Analytics, Data Science, Digital Analytics, or eCommerce Analytics
- 2+ years of experience leading cross functional teams and influencing Product, Engineering, Business, and Operations.
- Proficient SQL programming skills with an understanding of database capabilities and experience of integrating, structuring, and analyzing large amounts of data from diverse sources.
- Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions
- Experience with statistical concepts and knowledge of Test/Control methodologies
- Expert level understanding of Microsoft Office suite especially Excel and PowerPoint
- Strong analytical and quantitative skills and ability to synthesize findings into tangible actions that help drive business outcomes
- Strong organizational skills, a strong sense of ownership and accountability, and the ability to lead projects, communicate effectively, and be a self-starter.
- You can communicate technical material to a range of audiences and to ‘tell a story’ that provides insight into the business
- You embrace tackling complex problems with a high degree of ambiguity.
- Travel 10-20% of the time mainly to San Bruno/Sunnyvale, CA or Hoboken, NJ or Bentonville, AR
PREFERRED QUALIFICATIONS:
- MBA or Master’s Degree in Mathematics, Engineering, Statistics or a related technical field
- Background in Digital Product Analytics, Retail, and/or eCommerce and ideally experience with ‘two-sided’ businesses (Buyer & Seller) like a Marketplace (eBay), Rideshare (Uber), other ‘sharing’ business models (AirBnB, Task Rabbit, etc.)
- Experience with A/B and Multivariate test design and implementation and Regression modelling
- Retail and/or eCommerce industry experience in a heavily data-driven environment preferred
- Working knowledge of Digital Product Analytics methodologies. Preference will be given to candidates with experience in both B2B and B2C digital products
- Experience using an enterprise-level product analytics platforms (e.g. Mixpanel, Quantum Metric, Splunk, etc.)
- You have a passion for working in a fast-paced agile environment
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