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San Bruno

    Manager, Advanced Analytics - San Bruno, United States - Walmart

    Walmart
    Walmart San Bruno, United States

    3 weeks ago

    Walmart background
    Description

    What you'll do at Walmart

    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 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.

    • 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 -- always looking ahead to what's coming next, solving problems within and outside of your core area
    • 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 data to identify opportunities for improving customer experience and influence product roadmaps
    • Create effective reporting and dashboards by applying expertise in data visualization tools 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

    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 and modern data visualization tools to blend data from multiple sources
    • 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
    • Ability to communicate technical material to a range of audiences and to 'tell a story' that provides insight into the business
    • 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
    • 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
    • Experience using an enterprise-level product analytics platforms
    • Passion for working in a fast-paced agile environment
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