(USA) Senior Manager, Software Engineering (Analytics Engineering)

Position Summary...

As a part of the Omni Analytics team, a Sr. Manager Analytics Engineer is a people manager responsible for leading a team of Analytics Engineers as well as guiding vision, timeline and deliverables for behavioral data tagging implementation and QA on our web and app eCommerce platforms. Massive amounts of data collected from tagging is stored and consumed downstream by multiple business partners and leaders including analytics, merchandising, marketing, product, and data sciences – all of whom use behavioral data to drive decisions. Translating measurement requirements into data strategy solutions, writing code, collaborating with cross-functional teams, and providing insights are necessary to think beyond the status quo. Cross-collaborative partners will look to you as a trusted advisor - a subject matter expert - who provides guidance as it relates to efficiencies and best practices for measuring, collecting, storing, and reporting user behavior. As a member of our team, you’ll be able to say that you work for the world’s largest retailer and contribute to the development to best-in-class methodologies that impacted perception and drastically changed business as we know it.

What you'll do...

Working at Sam’s Club means a career without boundaries. There’s always room to grow, to take on another challenge, to roll up your sleeves and contribute, and to find professional rewards for your hard work. Yes, we are a division of the Fortune #1 company, Walmart, Inc. But you’ll quickly find that we’re a company that wants you to feel comfortable bringing your whole self to work. A career at Sam’s Club is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our clubs. Join us and you'll discover why our company is a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. 

What You’ll Do:

• Partner with talented engineers, product visionaries, and digital analysts to providing clean, transformed data ready for analysis of our eCommerce Website and Apps 
• Work in a high-performance agile team environment – guiding planning, timelines, communication, and execution of parallel Data Instrumentation tracks supporting a variety of digital Products released on our eCommerce Website and Apps. 
• Apply software engineering best practices (ex: version control, testing, continuous integration) to develop, enhance, and maintain clickstream data collection frameworks and pipelines using modern programming standards in JavaScript 
• Guide strategies instrumentation considerations based on front-end framework and platform architecture (e.g. React frameworks, Web / Android / iOS architectures). 
• Leverage tagging QA automation to improve data veracity, tagging QA efficiency, and reduce manual QA risks 
• Analyze data using non-SQL Enterprise BI tools as well as SQL Based data frameworks 
• Maintain extensive self-serve data documentation & definitions across the org 
• Train business users on how to use non-SQL based BI data exploration tools (e.g. Adobe Workspace, D3 Data Visualization) 

What You’ll Bring:

Mandatory Requirements: 

• Demonstrate deep expertise in Analytics Engineering, including Data Instrumentation and Tagging QA leveraging industry standard platforms, tools, and tech. Hands on experience with end-to-end tagging instrumentation, collection, storage, and data transformation 

• Core strength in Full-stack Web Development: JavaScript (ES5, ES6, ES2016 and latest versions of ECMA Script), HTML5, CSS3, ReactJS, NodeJS. 

• Deep understanding of the Web and App frameworks and respective