What you'll do
The Manager I, Advanced Analytics – SBU Site Operations Analytics will provide strategic and analytics support for the site operations and merchandising teams. Your goal is to use data and analyses to uncover problems and inform critical business decisions.
Challenges you’ll be tackling
You’ll help identify problems and areas of improvement in site experience and operations as related to the vertical assigned.
You’ll partner with Site Operations leaders to influence business strategy and solve complex problems.
You’ll be the go-to person for analysis and data for your vertical site operations organization.
Address various problem statements with data-driven analysis and approach
Collaborate with site operations and merchandising owners and leaders to uncover challenges in each line of business and create data-driven solutions to them
Build compelling presentations that synthesize findings, explain story behind the numbers, and communicate actionable recommendations
Build actionable insights on levers to drive the business an automate dashboards to deliver them
Detect root causes of changes in metrics and effectively communicate these insights to different audiences
Provide business intelligence and reporting for site operations and merchandising
Conduct in-depth research and provide quantitative analysis to evaluate new projects and business opportunities by defining metrics and frameworks
Support build-out of presentations for senior leadership discussions
Partner with the automation and optimization and central analytics and operations teams to develop solutions to improve internal workflows and tooling
Mentor and train site operations and merchandising associates and leadership to use data and tools to improve their business performance
Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices
Minimum 2 years of experience (including internships)
Proficient in SQL, Looker, Excel
Bachelor’s Degree in Economics, Finance, Math/Statistics, Engineering, Computer Science or related fields.
Bonus points for Experience with:
Streaming products like Kafka, Spark
Master’s Degree in Business Analytics, Data Science or Computer Science
Benefits & Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Who We Are
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are 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. careers.walmart.com
Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 1 year's experience in data analytics or related field OR 3 years' experience in data analytics or related field.
Analytics in retail operations, Experience using in-database analytics, SAS, SQL, or similar programming languages to retrieve, merge, and hygiene data from multiple sources or platforms
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America